Curriculum Vitae of Paolo Massimo Buscema

Transcript

SEMEION
CENTRO RICERCHE DI SCIENZE DELLA COMUNICAZIONE
Curriculum Vitae
of
Paolo Massimo Buscema
Via Sersale 117 ~ 00128 ~ ROMA ~ tel. ++39-6-50652350~ Fax ++39-6-5060064
e-mail: [email protected] - www.semeion.it
Ente scientifico con personalità giuridica riconosciuta dal
Ministero Istruzione Università e Ricerca (M.I.U.R.) D.M. del 12 novembre 1991
Iscrizione al Tribunale di Roma - Ufficio Provvedimenti Speciali
General information
Cognome
Nome
Place/date of birth:
SEMEION Research Centre’s
e-mail
Semeion Web
Buscema
Paolo Massimo
Rome, September 5th1955
Via Sersale, 117 – 00128 ROME
[email protected]
www.semeion.it
University of Colorado at Denver
Denver, Colorado 80217-3364
e-mail
Campus Box 170, 1250 14th Street, Room 643 P.O. Box
173364
[email protected]
TABLE OF CONTENTS
1. Academic
2. Awards and Honors
3. Keynote
4. Institutional Charges
5. Books
6. Scientific Publications
7. Papers presented at Conferences and proceeding
8. Teaching in specialized course
9. Scientific software programmed
10. Patents
11. Design of Algorithms©
Massimo Buscema - Curriculum Vitae -2-
Aggiornamento 18/03/2016
1. Academic
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MEMBERS OF EDITORIAL BOARD of ‘International Journal of Computational &
Neural Engineering (IJCNE)’. SciDoc Publishers, da Febbraio 2016.
MEMBER OF SCIENTIFIC COMMITTEE of ATSI 2014 (IEEE Workshop on
Advances in the Turin Shroud Investigation). Bari - Italy,
September 4th - 5th, 2014.
MEMBERS OF INTERNATIONAL JOURNAL NEUROLOGY RESEARCH. Act
Publishing, da Settembre 2014.
EDITORIAL BOARD MEMBER of Computational and Mathematical Methods in
Medicine, Hindawi Publishing Corporation, June 2014.
PROFESSOR ADJOINT at the University of Colorado at Denver (USA), College of Liberal
Arts and Sciences, Department of Mathematical and Statistical Sciences. Since April 2011March 216.
CO-FOUNDER of the Center for Computational and Mathematical Biology (CCMB) and
member of the Advisory Board. The CCMB is a center of the University of Colorado at
Denver, USA. Since September 2010.
CHAIRMAN of the Special Session "Hidden Information Elicitation with Fuzzy and
Intelligent Data Mining", the North American Fuzzy Information Processing Society's 2010
Conference (NAFIPS 2010), sponsored by IEEE Systems, 12-14 July 2010, Toronto, Canada.
EDITORIAL BOARD MEMBER of '"Open Medical Informatics Journal", Bentham
Science Publishers. December 2007.
ASSOCIATE EDITOR International Journal of Methodology, "Quality & Quantity",
Springer. August 2007.
MEMBER OF SCIENTIFIC COMMITEE for the International Conference "Cellular and
Molecular Biology, Biophysics and Bioengineering" in 2006 organized by the WSEAS.
EDITOR IN CHIEF: the scientific series "Artificial Adaptive Systems in Biomedicine", Di
Renzo Editore, Rome. January 2005.
MEMBER OF SCIENTIFIC COMMITEE of the Project "Nutrinforma" (Research,
design, and nutritional information in the agro-food and health). Since 2002.
MEMBER OF SCIENTIFIC COMMITEE Foundation "UCAT" (University College for
Technology Advantage). Since May 2001.
MEMBER OF SCIENTIFIC COMMITEE of MEMSIDU (Middle Eastern Mediterranean
Summer Institute on Drug Use). Since May 2001.
PRESIDENT OF SCIENTIFIC COMMITEE of the PROBE LAB Training Center
Project Probe on New Methods Social Intervention. Castelfranco Veneto. Since Marzo1999.
MEMBER OF SCIENTIFIC COMMITEE for the "Silicon Graphics, Cray Research."
Since June 1997.
CO-FOUNDER and DIRECTOR of "THE MEDITERRANEAN INSTITUTE", an
Informal Interdisciplinary Forum for Exploring Unresolved Issues, Creating and Sharing
Knowledge. Since June 1996.
CO-FOUNDER and PUBLISHER of the magazine "UNCERTAINTY", An International,
Interdisciplinary Forum for Exploring Unresolved Issues. From February 1996.FACULTY
MEMBER of “MESIDU” (Middle Eastern Summer Institute on Drug Use) Jerusalem, Israel.
Since March 1995.
EDITORIAL ADVISORY BOARD MEMBER of the Journal "SUBSTANCE USE &
Misuse", The International Journal of the Addictions, Marcel Dekker, Inc., New York, Basel,
Hong Kong. Since December 1994.
ORDINARY MEMBER of the Society for Prevention Research, Association of Researchers
from several American Universities. Since October 1993.
EDITORIAL BOARD MEMBER of the newspaper "ADICCIONES", Publisher
Socidrogalcohol, Palma de Mallorca. Since February 1991.
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MEMBER OF SCIENTIFIC COMMITEE of the Magazine "MULTI MEDIA
Communication, Education and Technology", published by Probe, Turin. Since January 1991
FOUNDING MEMBER, as President of Semeion Research Center, the Association
Européen Praticeus Sociaux sans Frontières AEPSF.Since November 1990.
MEMBER OF SCIENTIFIC COUNCIL of IREFREA (Institut Européen de Recherches
sur les Facteurs de Risques chez l'Enfant et l'Adolescent) based in Lyon. Since November 1989
FOUNDER, PRESIDENT and DIRECTOR of the Research Centre of Communication
Sciences Semeion. From February 1985. The Semeion Research Center has received
recognition of legal personality, with Ministerial Decree of 12 November 1991, registered at
the Court of Accounts 13 December 1991 by the Ministry of University and Scientific and
Technological Research, in relation to two National Committees Consulting the National
Research Council: 1) Science and Technology Information, 2) Economics, Sociology and
Statistics.
PROFESSOR of Computer Science and Linguistics at the Department of Philosophy of
Language, University of Perugia. ACADEMIC YEAR 1983-1984.
DIRECTOR of the Department of Science of Communications of the 'American College of
Rome University of Charleston (West Virginia USA). From September 1981 to June 1984.
DEAN pro-tempore of the 'American College of Rome of the University of Charleston (West
Virginia USA). Since November 1983 to January 1984.
MEMBER of the Provisional Committee for the preparation of the book "The teaching of
human rights in medical schools," Conseil de l'Europe de l'Enseignement Supérieur et Division
de la Recherche. November 1980.
COORDINATOR Research Council of the American College of Rome of the University of
Charleston (West Virginia USA). From September 1980 to September 1983.
PROFESSOR of Science of Communications at the American College of Rome of the
University of Charleston (West Virginia USA). From September 1979 to June 1984.
In December 1978 awarded “LAUREA DI DOTTORE IN LETTERE” graded 110 out of
laude; degree awarded by the Department of Letters and Philosophy of the University of
Rome, “La Sapienza”.
2. Awards and Honors
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September 29th, 2011.DECORATED WITH THE AWARD of the Rotary Club of Rome
for the Southeast Conference on "Mathematics and Artificial Intelligence together: the new
goal for scientific research", Rome.
September 28th,, 2011. AWARDED the prize “150 years of the Unification of Italy
Emigration: from the arms to the brain. Contribution of the Italian genius and the heart of
scientific progress, economic and social development of the International Community”. Part of
the "International Forum on Research and Treatment of Pain", Rome, Chamber of Deputies
December 2010. AWARDED the "National Security and Protection Prize" awarded by the
National Security Permanent (ONPS), Rome.
July 2010. AWARDED THE "MERITORIOUS PAPER" for the paper "A New MetaClassifier" presented in International Conference of the North American Fuzzy Information
Processing Society (NAFIPS 2010). The award was presented by Ryerson University, Toronto,
Ontario, Canada.
June 26th,, 2010. AWARDED the "Premio Internazionale Città di Ostia year 2010" for the
"Scientific Research" with the award of the Medal of the Chamber of Deputies of the Italian
Parliament. Ostia, Rome.
June 2003. APPOINTED “Grande Ufficiale nell’Ordine al Merito della Repubblica”.
22 nd October 1999. AWARDED the International Life Award 1999 with Special Mention “To
develop fundamental knowledge in the prevision of risk factors of the most important social
pathologies in the context of the advanced informatics processes on Neural Networks”.
Abano Terme
AWARDED by the Prefect of the Province of La Spezia for participation in the Fifth
International Day for Combating Drug Addiction. THE SPICE June 26 th, 1992.
3. Keynote
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April 16-17, 2015, Invited Speaker on subject: “Wines: Pattern recognition by Learning
Machine and Artificial Neural Networks” to the conference: “1st MS-Wine day. Mass
spectometry and grapes – wine – spirits.”, Bagno a Ripoli (FI), Italy.
June 11st , 2014 Invited Speaker on subject “Sistemi Artificiali Adattativi applicati ad eventi
naturali critici : esempi di modelli di previsionalità” to the Conference “Sicurezza del
Territorio: Metodi e Tecnologie per la Prevenzione e la Gestione dell’Emergenza”.
28th April - 10th May 2014, Invited Speaker to the Seminar at Colorado University, with Rocky
Mountain Poison Center (RMPC), The Center for Computational and Mathematical Biology
(CCMB) e Na-If (Natural Interfaces).
May 23th, 2013 Speaker on subject “I Sistemi artificiali adattivi in medicina” to the conference
of Regione Lombardia: “Genetica, Matematica, Cultura e Salute: tre seminari per capire e
saperne di più.” Como, Italy.
November 7th, 2012 Invited Speaker on subject “Sistemi Artificiali Adattivi applicati” to the
Conference of AFCEA “Prevenzione o Emergenza? La prevenzione come sistema per la
difesa del territorio e come supporto per l’emergenza”. L’Aquila, Italy.
September 17th-18th, 2012: Invited Speaker on subject “Artificial Intelligence, Robotics and
Human Augmentation” al Global Futures Forum: Transformational Technologies 4, Rome.
June 11st-15th, 2012: Invited Speaker on subject “New artificial adaptive systems for intelligent
data mining”, to the Conference “International Academy of Mathematical Chemistry IAMC”,
Verona, Italy.
September 28th, 2011. Speaker on the topic “Matematica e Intelligenza Artificiale insieme:
nuovo traguardo per al ricerca scientifica”, at the invitation of the Rotary Club of Rome,
south-east. Rome, Italy.
September 28th, 2011. Speaker on the topic “La narrazione del sapere, le esperienze dei
ricercatori italiani all’estero” under the "fforum Internazionale sulla ricerca e la cura del dolore"
150 years dedicated to the unification of Italy Emigration: to brain from the arms.
Contribution of the Italian genius and the heart, to scientific, economic and social
development of the international community. "Rome, Chamber of Deputies.
June 6th 7th 8th 2011: Invited Speaker on subject “Active Connections Matrices for image
analysis and images Fusion” at the University Rochester, Medical Center Department of
Neurosurgery, Rochester (NY-USA).
May 12th 2011: Invited Speaker on subject “Artificial Adaptive Systems applied to bio-medical
data” to the University College of London, Medical School Division of Medicine Centre for
cardiovascular Genetics, London (UK).
October 19th -20th , 2010: Speaker on subject “Complessità e Sicurezza” to the Security Forum
2010 of Finmeccanica "Information Security in the Web 2.0", organized by Elsag Datamat ESecurity, Francavilla al Mare, Pescara, Italy.
October 14th -15th, 2010: Speaker on subject L’ Utilità Del Modello Matematico Applicato alla
Sanità”, alla Giornata Del Diritto Costituzionale per la Tutela Della Salute “Assistenza
Domiciliare in Sicilia: Attuali e Future Strategie” Organized by the “Cultural Association
Giuseppe Dossetti”, Palermo, Italy.
July 12 th -14, 2010: Speaker on subject “A Fuzzy TWC Approach to Intensive Data Mining:
Unveiling the emergent world order”, with P.L. Sacco, to the North American Fuzzy
Information Processing Society's 2010 Conference (NAFIPS 2010), sponsored by IEEE
Systems, Toronto, Canada.
July 12th-14th, 2010: Speaker on subject “Activation and Competition System and Universe
Lines Algorithm”, with P. L. Sacco, to the North American Fuzzy Information Processing
Society's 2010 Conference (NAFIPS 2010), sponsored by IEEE Systems, Toronto, Canada.
July 12th-14th, 2010: Speaker on subject “Meta-Consensus: A New Meta-Classifier Based On
Consensus Theory”, with S. Terzi, to the North American Fuzzy Information Processing
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July 12th-14th, 2010: Speaker on subject “Population: A New Method of Multi Dimensional
Scaling”, with G. Massini, S. Terzi, to the North American Fuzzy Information Processing
July 12th-14th, 2010: Speaker on subject “Artificial Adaptive Systems and Predictive Medicine: A
Revolutionary Paradigm Shift”, with E. Grossi, to the North American Fuzzy Information
Processing Society's 2010 Conference (NAFIPS 2010), sponsored by IEEE Systems, Toronto,
Canada.
July 12th-14th, 2010: Speaker on subject “Assessing Post-Radiation Treatment involving Brain
Volume Differences in Children: an Application of Adaptive Systems Methodology”, with F.
Newman, G. Massini, E. Grossi, W. Tastle, to the North American Fuzzy Information
Processing Society's 2010 Conference (NAFIPS 2010), sponsored by IEEE Systems, Toronto,
Canada.
July 12th-16th 2010: Speaker on subject: "Artificial Adaptive Systems in Data Mining: Theory
and Applications," in the Conference "NET 2010 Network Topology and Dynamics IULM
University and Milan-Bicocca University, Milan, Italy.
June 11th 2010: Speaker on subject “L’Algorittmo e la Salute”, in the Conference organized
by the Association Giuseppe Dossetti: "Innovative Medicines Quality Appropriateness
effectively," Rome, Italy.
April 14th-17th, 2010: Speaker on subject “Artificial Neural Networks in medicine: from human
intelligence to that artificial and viceversa”, at the National Congress “New frontiers in
pediatric immunoallergology from the IgE to the diagnosicomponent-resolved”. Bari, Italy.
January 21th, 2010:"Artificial Adaptive Systems for Safety", at the CNR and CNT Conference
"Knowledge and common security.” Rome, Italy.
June 09th, 2009: Speaker on subject “J-Net System: A New Paradigm for Artificial Neural
Networks Applied to Diagnostic Imaging. UCD Medical School, Radiology and Radiation
Oncology. University of Denver, Colorado, USA.
June 08th, 2009: Speaker on subject “Neural Networks Applied to Medical Imaging, Spatial
Epidemiology, and Disease Outbreak Prediction,” University of Denver, Colorado, USA
June 08th, 2009: Speaker on subject “Neural Networks Applied to Medical Imaging, Spatial
Epidemiology, and Disease Outbreak Prediction,” Denver, Colorado, USA.
June 09th, 2009: Speaker on subject “J-Net System: A New Paradigm for Artificial Neural
Networks Applied to Diagnostic Imaging UCD Medical School, Radiology and Radiation
Oncology (AMC Campus, Francis Newman coordinating). Denver, Colorado, USA.
May 15th, 2009: Speaker on subject “La valutazione della persona e del valore aggiunto
all’impresa” within the 3rd meeting of Dialogue Circle - Res Consulting Group. Florence - Italy.
May 11th -14th, 2009: Speaker on subject “Semantic technologies and mathematical algorithms:
from invisible to visible. Expert-System – Semeion solutions for crime contrast and Homeland
Security” within TechFOr Congress, Rome, Italy.
November 30th – December 5th, 2008: Speaker on subject “Artificial Adaptive Systems:
applications in the Drug Trafficking and Medicine” in “From Technology to Values” Congress
organized by Finmeccanica. Civita Castellana (VT), Italy.
September 11th -14th, 2008: Speaker on subject “Strong models in weak moments” within
“Creative Generations”, Parma, Italy.
June 30, 2008: Speaker on subject “New models of data analysis: the vocations of the territory”
in “Final Congress of DiCE Project – Evolved Cultural District of Veneto Region”. Venice,
Italy.
May 20th-22nd, 2008: Keynote Speaker on subject “The General Philosophy of Artificial
Adaptive Systems” within the “2008 Annual Meeting of the North American Fuzzy
Information Processing Society. (NAFIPS 2008)”. New York, USA.
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May 20th -22nd, 2008: Speaker on subject “The Transferal of Evidences Derived from Clinical
Research to Single Patient Level: Automatic Distinction of Normal Elderly vs. Mild Cognitive
Impairment Subjects by Resting EEG Data Processed by IFAST, a Novel Intelligent System”
with P. M. Rossini within the “2008 Annual Meeting of the North American Fuzzy
Information Processing Society. (NAFIPS 2008)”. New York, USA.
May 20th -22nd, 2008: Speaker on subject “Powerful Computerized Spatial Epidemiology and
Semantics Through the Use of Novel Mathematical Objects: Can Artificial Intelligence
Systems Identify Outbreak Sources?” with T. Jefferson within the “2008 Annual Meeting of
the North American Fuzzy Information Processing Society. (NAFIPS 2008)”. New York,
USA.
May 20th -22nd, 2008: Speaker on subject “J-Net System: a new paradigm for Artificial Neural
Networks applied to diagnostic imaging” with E. Grossi within the “2008 Annual Meeting of
the North American Fuzzy Information Processing Society. (NAFIPS 2008)”. New York,
USA.
May 20th -22nd, 2008: Speaker on subject “Is Information Being Denied to the Scientific
Community by the Reductionist Approach to Data Analysis in Stroke Related Clinical Trials?”
with C. Helgason within the “2008 Annual Meeting of the North American Fuzzy Information
Processing Society. (NAFIPS 2008)”. New York, USA.
May 20 th -22, th 2008: Speaker on subject “Four Models for Four Medical Applications” within
the “2008 Annual Meeting of the North American Fuzzy Information Processing Society.
(NAFIPS 2008)”. New York, USA.
May 15 th -16 th, 2008: Speaker on subject “Artificial adaptive systems: theories and methods to
transform invisible in visible” in RES 2008 Event on “Ethics, the impossible balance between
profit and welfare”. Siena, Italy.
May 15 th -20 th, 2008: Speaker on subject “Critical Infrastructures and their protection” at “1º
International Exhibition of Security Technology” TechFOr 2008. Rome, Italy.
April 19 th, 2008: Speaker on subject “The Role of Artificial Systems in the Development of the
Territory” in “Festival delle Città Impresa”. Rovereto, Italy.
January 9 th, 2008: Main Speaker on subject “Artificial Intelligence and Neural Networks
System” within “Meeting of regional delegations AIGO-AISF-SIED-SIGE” on “Statistic of
Average Patient and Statistic of Real Patient: which help from neural networks”. Naples, Italy.
December 8 th -9 th 2007: Speaker on subject “40 years of Quality and Quantity: from
Lazarsfeld’s mathematical models to Artificial Neural Networks” and on subject “Artificial
Adaptive Systems in medical imaging and in security” within the Congress “Mathematics and
Society” for the 40 years anniversary of “Quality and Quantity-International Journal of
Methodology”. Bologna, Italy.
November 27 th 2007: Speaker on subject “Mathematical Models in social sciences. From Paul
F. Lazarsfeld to artificial neural networks” with Prof. Vittorio Capecchi, within II Edition of
“Gianni Statera” Prize organized by University of Rome “La Sapienza”, Rome.
November 14 th -15 th 2007: Speaker on subject “Management of operational risks through
neural network analysis of bureau data: process and technology innovation” within 2007
“European Fraud Conference”. Rome, Italy.
November 3rd-5th 2007: Speaker on subject “Using artificial adaptive systems to analyse drug
trafficking data in London” within the Congress “How Science Speaks to Drug Policy”
organized by UNODC (United Nations Office on Drugs and Crime) and Semeion Research
Centre; Rome, Italy.
October 7 th -10 th 2007: Speaker on subject “A novel adapting mapping method for emergent
properties discovery in data bases: experience in medical field” in “2007 IEEE International
Conference on Systems, Man and Cybernetics (SMC 2007)”. Montreal, Canada.
September 26 th -27 th 2007: Speaker on subject “Artificial Adaptive Systems for the analysis of
biomarkers to predict and cluster four classes of smokers” in an internal seminar held in BAT
(British American Tobacco) Research Centre, Southampton.
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June 24 th -27 th 2007: Speaker with relation entitled “The added value of 'Artificial Organisms'
in the analysis of medical data: six years of experience” with E. Grossi, and A. Mancini, within
the “2007 Annual Meeting of the North American Fuzzy Information Processing Society. San
Diego, California USA.
May 11 th 2007: Speaker on subject “Innovative methodological aspects for the integration of
the simultaneous result of an ensemble of classificators ” within the “Artificial Intelligent in
Gastroenterology” Meeting organized by Bracco SpA for gastroenterology specialists. Milan.
December 4 th 2006: Speaker on subject “Using Artificial Neural Network Systems to analyze
drug trafficking in London” held within the Congress of Drug Trafficking Studies in London,
organized by the Federal Drug Control Service, London.
November 22 th 2006: Speaker on subject “Theoretical and pragmatic background on the
instruments and methods of the Artificial Intelligent: neural networks, evolutionary algorithm,
intelligent visualizes”, inside the Workshop entitled “Artificial Intelligent in Gastroenterology:
which future?” organized by Bracco S.p.A., Milan.
November 8th 2006: Speaker on subject “Artificial Intelligence and Drug Trafficking”,
presentation of the results of the project Central Drug Trafficking Database, realized for the
Metropolitan Police Service New Scotland Yard, London.
October 27 th 2006: Speaker on subject “Artificial Adaptive Systems in the imaging and clinic”,
inside the Convention of study on the alternative method to the animal experimentation”,
organized by the LAV and the University of Palermo, Palermo.
October 2nd 2006: Speaker on subject “ Scientific imagination, severity and reasonableness”
inside the Convention of study on subject “Reasonableness in the scientific research and the
specific role in the legal knowledge”, organized by the Faculty Law of The University of Rome
“La Sapienza”, Rome.
September 15 th 2006: Speaker on subject “Imagination and method in the science” inside the
Conference entitled “The research of the lost treasure”, organized by RES Consulting Group,
Radda in Chianti (FI).
June 13 th 2006: Chairman of the session “Evolutionary Computing and Genetic Algorithms”
inside “WSEAS 7th International Conference”, Cavtat, Croatia.
June 12 th 2006: Speaker with relation entitled “PST: A new Evolutionary Approach to
Topographic Mapping” inside “WSEAS 7th International Conference, session Evolutionary
Computing”, Cavtat, Croatia.
June 10 th 2006: Speaker with relation entitled “IFAST: a New method for the automatic
classification of individual EEG data”, inside 10th ITINAD Annual Meeting, Rome.
May 4 th 2006: Speaker with relation entitled “Research and Development” inside the
Conference “The creativity in the knowledge society” organized by K.I.T.E Association, c/o
Bioindustry Park of Canavese, Ivrea, (TO).
April 26 th 2006: Speaker with a relation at Mechanics and Applied Mechanics Department of
Voronezh University; conference organized within an official visit of researchers of Semeion in
the Russian Federation, visit financed by USA Embassy and organized by Office on Drugs and
Crime, Regional Office for Russia and Belarus.
February 4 th 2006: Speaker with inaugural lecture entitled “Scientific Research and Innovation
in the Development” inside the First Level University Master “Management and
Socioeconomics Development”, organized by University of Pescara “G. D’Annunzio” Faculty
of Management Sciences.
November 10 th 2005: Speaker with relation entitled “Neural Data Mining for Fraud Detection
and Credit Risk Modeling”, inside the Experian International Fraud Forum 2005 & 11th
Annual ACFE European Fraud Conference, Roma Centro Congressi Alitalia.
November 9 th 2005: Speaker on subject “Scientific innovation in road safety” inside the
Conference “General states for the Road Safety in Italy” organized by Fondazione Luigi
Guccione and by Fondazione Italiana per la Sicurezza della Circolazione, Roma Camera dei
Deputati.
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October 7 th 2005: Speaker on subject “Scientific Research and Innovation” inside the XII
edition of “Orientagiovani” National Day for meeting entrepreneurs and young people,
organized by Confindustria of Catanzaro, Catanzaro.
May 27 th 2005: Speaker on subject “Scientific Research and Innovation in development” inside
the University Master First level in Management and Socioeconomic development, organized
by University “G. D’Annunzio” of Chieti-Pescara, Pescara.
May 17 th 2005: Speaker on subject “Artificial adaptive systems: What are they and why they are
useful” inside the meeting organized by Department of Preventive Medicine, University of
Kentucky, Lexington, KY, USA..
April 20 th 2005: Speaker on subject “The image behind the image: the grammar of haven’t
seen” inside the VII International Conference “Education of pet man” organized by CEIS
(Centro Italiano di Solidarietà), Rome.
March 19th 2005: Speaker with E. Grossi on theme “Artificial Neural Networks in
epidemiology” inside VI congress, organized by Società Europea di Nutrizione Biologica,
Roma.
March 18th 2005. Speaker with lecture on theme “Mathematical Models for simplify a
diagnosis” inside the congress named “22o Incontro Pediatrico”, organized by Società Italiana
di Pediatria, Ostia Roma.
January 27 th 2005. Speaker on theme “Artificial Adaptive Systems: Theory” inside the Meeting
on research and development innovative technology, organized by Basell, Ferrara.
December 17th 2004. Speaker on theme “Image processing: Active Connections Matrix
Systems” inside the “International Meeting Artificial Adaptive Systems in Medical Field”,
organized by Semeion Research Centre, Roma.
November 11th 2004. Speaker on theme “Research and Innovation: the key word” like author
of the book with the same title, Genova.
October 25 th 2004. Speaker on theme “Research and Innovation: the key word” like author of
the book with the same title, Novara.
June 24 th – 26 th 2004. Speaker with lecture on subject “Artificial Adaptive Systems: for
optimization prevention, prognosis and therapy” inside the International Congress Child
Project Health, organized by Italian Society of Perinatal Medicine, Ancona.
June 3rd– 5th 2004. Invitation to VIII Annual Meeting ITINAD “Italian Interdisciplinary
Network on Alzheimer Disease” with 5 poster on ANNs application AD, organized by Bracco
S.p.A., Sorrento (Naples).
May 7th 2004. Speaker on subject “Research and Innovation: the key word” inside the
convention “Research and Innovation: knowledge and future”, organized by District of Terni,
ASC Company and Semeion Research Centre, Terni.
April 30 th 2004. Speaker on subject “The territorial health” inside the Conference “The Health:
social responsibility of the company and the community”, organized by District of Ravenna,
Ravenna.
April 26 th 2004. Speaker on subject “Complex Systems like instruments for communication
and education” inside the International Conference “Education of pet man” organized by
CEIS (Centro Italiano di Solidarietà), Rome.
November 11 th 2003. Invitation to Forum for Bio-Medical Research organized by Censis,
Rome.
October 29 th 2003. Speaker on subject “Artificial Neural Networks: theory and application”
inside the Workshop “Artificial Neural Networks: value added in Oncology?” organized by
Bracco Imaging S.p.A. and the Research Pharmacological Institute “Mario Negri”, Milan.
October 3rd 2003. Speaker on subject “Artificial Neural Networks and building of agroalimentary Observatory predict and dynamic”, inside the Conference “Typical agro-alimentary
production in Basilicata” organized by Basilicata Region.
September 26 th 2003. Speaker on subject “Artificial Adaptive Systems: new theory and new
instrument for study natural phenomena”, inside the Conference “New perspectives to know
complex disease through Artificial Intelligence” Department of Medicine University of Naples.
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June 27 th 2003. Speaker on subject “Artificial Adaptive Systems for professional orientation”
inside the meeting of research project PRIN 2002 “Transizione Università-Lavoro e
valorizzazione delle competenze professionali dei laureati: modelli e metodi di analisi
multidimensionale delle determinanti”, organized by researcher group of University of MilanBicocca, Milan.
June 6 th – 8 th 2003. Speaker on subject “A che serve l’arte in un mondo tecnologico?” inside
Cittadellarte, Biella, Fondazione Pistoletto, organized by “Osservatorio – Sistema Impresa e
Cultura”.
May 22nd– 24 th 2003. Speaker on subject “Artificial Networks: predict the future for modifying
the present”, inside the VII Annual Meeting Italian Interdisciplinary Network on Alzheimer
Disease, organized by ITINAD (Italian Interdisciplinary Network on Alzheimer Disease),
organized by Bracco Imaging S.p.A., Sorrento (Naples).
April 14 th – 15 th 2003. Speaker on subject “Sistemi Artificiali Adattivi. Teoria e applicazioni nel
settore medico” inside the Seminar “Formazione di competenze neuro-informatiche nello
studio delle funzioni cerebrali”, organized by Fondazione Centro S. Raffaele, Milan at the
University Vita – Salute San Raffaele, Milan.
April 8 th 2003. Speaker on subiect “Sistemi Artificiali Adattivi: apprendere ad apprendere” at
the College “Torrescalla”, Milan.
March 31st 2003. Speaker on subject “Sistemi Artificiali Adattivi” at the Università di Sassari,
Dipartimento di Matematica e Fisica, organized by Istituto di Fisica Nucleare.
June 20 th -21 th 2002. Speaker on subject “Semeion: Neural Network” at the First Technology
days, organized by Bracco Imaging S.p.A. in Portofino (GE), at the Hotel Portofino Kulm.
June 1st 2002. Participation at Scientific Syimposium “eMeRGE Study. ANN’s application in
diagnosis and prognosis of GERD”. Milan – Rome.
May 15 th -16 th -17 th 2002. Speaker on subjects “Assessing substance use(r) Intervention with
Artificial Adaptive Systems and their Validation Protocol” and “MEMSIDU research
outcomes treatment methodologies” inside the II International Seminar MEMSIDU, organized
by Comunità Casa del Giovane at the III Millennium Hall in Pavia.
May 16 th 2002. Speaker on subjects “Complessità e innovazione: sistemi artificiali adattivi”
inside the seminar “Il tempo della scienza” – meeting of thursday 2002, organized by Istituto
Elettrotecnico Nazionale Galileo Ferraris at the Conference Hall in Turin.
April 18 th 2002. Speaker on subjects “Sistemi artificiali adattivi” inside the seminar “La
sociologia nella rete: reti neurali artificiali e reti sociali” organized by Dipartimento di Ricerca
Sociale della Facoltà di scienze politiche dell’Università del Piemonte Orientale and the
Associazione Italiana di Sociologia in Alessandria, at the Sala Convegni of Palazzo Guasco.
April 10 th 2002. Speaker on subjects “Tra natura e intelligenza artificiale” inside the seminar “Il
tempo: la lentezza come acceleratore di produttività”, in Como at the Unione degli Industriali.
March 23 th 2002. Speaker on subjects “Le reti neurali come strumento d’inferenza diagnostica”
inside the Meeting “Sistemi artificiali adattivi in gastroenterologia”, organized by Bracco S.p.A
at the Le Meridien Hotel in Nice.
January 11 th 2002. Speaker on subjects “Scientific background of dynamic adaptive sytems”,
“A novel CAD system for breast MRI”, inside the Meeting “Artificial Intelligence (AI) meets
R&D fears and opportunities: the future creates the present – One year into the BraccoSemeion partnership”, organized by Bracco S.p.A. at the Sala Duecento at the Bracco S.p.A.
Milan.
December 3rd 2001. Speaker on subject “Artificial Neural Network in medical field” inside the
Meeting “Intelligenza artificiale in gastroenterologia: nuovi orizzonti nella analisi e interpretazione dei dati clinici” organized by Bracco Imaging S.p.A. inside the VII Congresso
Nazionale della Federazione delle Società Italiane delle Malattie Digestive, in Bari from 1 to 5
december 2001 at the Fiera del Levante.
November 29 th – December. 1st :Speaker on subject “Reti neurali artificiali: identificazione di
pazienti ad alto rischio cardiovascolare” inside the XV Congresso Nazionale della Società
Italiana per lo studio dell’Arteriosclerosi, at the Excelsior Hotel. Roma.
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November 14 th 2001. Speaker on subject “Mobilità e nuove dimensioni della velocità” inside
the Seminar “Oltre New York: le nuove frontiere dell’impresa”, in Como at the Unione degli
Industriali.
November 7 th -8 th 2001. Speaker on subject “Comunicazione, prevenzione e complessità” at
the Congress organized by ISPESL (Istituto Superiore per la Prevenzione E la Sicurezza del
Lavoro) e CIIP (Consulta Interassociativa Italiana per la Prevenzione), “ La Prevenzione in
ombra: formazione, comunicazione e documentazione” at the Sheraton Hotel. Bari.
From November to December 2000. Speaker on subject “Sistemi Artificiali adattivi per
l’ottimizzazione dell’orientamento professionale” inside the Seminars for project LOOP –
P.O.M. “Progettazione, Sviluppo e sperimentazione di un Sistema di Orientamento al Ruolo
Professionale con la Tecnologia delle Reti Neurali Artificiali”, financed by Ministero del
Lavoro and Fondo Sociale Europeo -, on 20 november 2000 in TREVISO at the Sala Verde of
Palazzo Rinaldi, on 29 th november 2000 in NAPOLI at the Sala D’Amato dell’Unione degli
Industriali, on 12 th december 2000 in ROMA at the Confindustria and on 14 th december 2000
in MILANO at the Circolo del Commercio dell’Ente per la Promozione e lo Sviluppo di
Commercio, Turismo e Servizi.
October 27 th -29 th 2000. Speaker on subject “Applicazioni medico-scientifiche con sistemi
adattivi” at the Congress organized by “The Ageing Society”, “Strategies for prevention: the
role of medical sciences and nutrition”, at the Palazzo dei Congressi of Salsomaggiore Terme
(PR). Salsomaggiore Terme.
September 30 th 2000. Speaker at the Congress “La politica sociale italiana: a cosa serve” –
organized by “IARG-International Antiageing Research Group” at the Palazzo dei Congressi
della Provincia. Milan.
September 28 th -30 th 2000. Speaker on subject “Artificial Associative Memory and Data
Mining. A case study: an Intelligent Bibliographical system on Giotto”, in the session “Library
and Information Literacy Service in a Learning Society II” in the “EADTU Paris Millenium
Conference” at the University of Paris “Sorbonne”. Paris.
June 9 th 2000. Speaker in a meeting with University of Perugia researhears on “use of Artificial
Adaptive Systems in applied research”. Faculty of Land-Department of Zootechnique.
Perugia.
May 12 th 2000. Speaker on subjects “Artificial organism and complexity” and “Police forces.
New techniques to the management of complexity: Artificial Intelligent tools” organized by
Sonda Cult. Asolo.
April 12 th 2000. Speaker at seminary on “Use of Artificial Adaptive Systems in biologic field”
faculty of Land-Department of Zootechnique-Chair of Domestic Animal PhisiologyUniversity of Perugia. Perugia.
March 10 th 2000. Speaker on subjects: “Adaptive systems, genetic algorhythm, decision trees,
neural networks”; “Different Neural Networks and different uses in social, healty, and
economic field”; “The use of Artificial Neural Networks like philosophy in the different
company fields to predict trends and WATH IF simulations”; “The application of Neural
Networks to determinate client rating, economic penetration and to predict behaviours and
events”; “Pratical illustration of the Neural Network running set to the various company
works”. Congress organized by SEK. Palace of the Commerce Union. Milan
February 29 th - March 1st 2000. Speaker in a lab-seminary to the elaboration of the Bracco’s
equipe on Alzheimer data. Semeion. Rome.
February 17 th 2000. Presentation of the activity of the Semeion Research Centre. Bracco
Pharmaceutics, Milan.
February 8 th 2000. Speaker on subject “Artificial Neural Networks and the Adaptive Systems”
at the Seminary “Intelligent Applications” organized by Computer Associates UK. London.
January 20 th 2000. Speaker on subject “The capacity of the Artificial Neural Network in the
information analysis”. The congress was organized by Computer Associates Italy, University of
Tor Vergata. Rome.
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December 16 th 1999. Speaker of the research on the Company Atmosphere executed by
Semeion on behalf of the TNT Global Express. Turin.
October 22 th -23 th 1999. Speaker at Congress “ First International Congress: The ageing
society. Oxidative stress. Clinical, social and psychological perspectives”, showing the relation
“Artificial Neural Network as prediction tools”, organized by IDI with the support of the
W.H.O. and the European Parliament. Abano Terme (Padova).
October 6th 1999:Speaker at Congress ”E-Value of IT” organized by Computer Associates
Italy. Milan.
July 18th -23rd 1999: Speaker at the International Convention “Toward the Year 2000: an
International Interdisciplinary Forum for Exploring Critical Unresolved Substance Use
Intervention Issues” held in Jerusalem (Israel); topics: “An Expert System for Job
Optimization using Artificial Neural Networks” and “Creating new information: trasforming
data into a two dimensional map with evolutionary programming.
May 13th 1999: Speaker at the Conference “Ponti e Piani Costruire Insieme Comunicazioni”,
organized by the Local Health Unit of Pavia; topic: “Communications between computers”.
Vigevano (Lombardia Region).
November 30th 1998: Speaker at the day of study regarding “The recent medicine progresses
of drug-addiction”, organized by the Superior Health Institute and the Italian Society of
Toxicology; topic: The drug-addiction prognostic and diagnostic determinants: benchmark
between predictive mathematical models”. Florence.
October 8 th -10 th 1998: Speaker at the International Conference “The integration of the Local
communities resources – The Children Rights - Adults Mission”, organised by the Town
Council of Modena, Department of School, Formation and Relationship with Universities, and
Telefono Azzurro Association. The topic was: “Young People and New Technologies. The
Future that Modifies the Present”. Modena.
September 14th -18th 1998: Speaker at Seminary “Substance Use & Misuse. A comparative
review”, organized by Semeion Research Center and Modena Committee and with the
partecipation of Modena Ce.I.S., on subject “Read, prevision and project: the prevention of the
substances throughtout complex models”. Modena.
April 24th 1998: Speaker on the topic “Methodological contributions to the philosophy of
Sonda Project” within the Conference at the Cultural Centre of Resana (Treviso).
January 16th 1998: Speaker at the Meeting “Well-being ... Live well ... Eat well ... at school.
Alimentary Education and Use Oriented” organised by the Province of Modena and Emilia
Romagna Region, with the collaboration of the Local Direction of Education. The topic was:
“Alimentation and way of life. A dynamic and ‘Intelligent’ Observatory to educate to
alimentary behaviour in the school”. Modena.
December 5th 1997: Speaker at the Vth National Meeting “Le nuove leve di Marketing per far
fronte all’accresciuta concorrenza derivante dall’introduzione dell’EURO. Opportunità e
vincoli” organised by SOFTSAND, an informatic and research society. The topic was:
“Dynamic Systems to predict and select”. Jesi (Ancona).
September 25th 1997: Speaker at Conference “Management, Complexity, Reingeneering - One
day with Massimo Buscema”, organised by Alitalia Business School with the collaboration of
the Semeion Research Center and TIM (Telecom Italia Mobile SPA). The topic was: “How the
Neural Networks can resolve the Problems”. Rome.
June 9th -13th 1997: Speaker at the 1st Meeting “Drug Abuse: Prevention Strategies and
Interventions Methodologies” of the “The Mediterranean Institute” - Summer University of
Social Affairs, promoted by the Semeion Research Center, the Town Council of San Giovanni
Valdarno and the MESIDU (Middle Eastern Summer Institute on Drug Use). The topic was:
“Planning, Implementing & Assessing Substance Use Intervention using Artificial Neural
Networks and others non-linear Paradigms”. S. G. Valdarno (Tuscany Region).
June 1st -7 th 1997: Speaker at the International Conference organised by “MESIDU (Middle
Eastern Summer Institute on Drug Use) at the American Cultural Center Jerusalem. The topic
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was: “Artificial Neural Network methodology for Control Substance Use Prevention
Programs”. Jerusalem.
April 18th 1997: Speaker at the Conference on the topic “Young People and New
Technologies. The Future that Modifies the Present: A General Presentation of Artificial
Neural Networks”, organised by the International Institute Giovanni Paolo II. Rome.
March 18 th 1997: Speaker at the Conference “Models and Familiar Styles: the Quality of Life
Today”, organised by the Town Council of Modena, Department of Education. Modena.
January 24th 1997: Speaker at the Forum “Young People and Technological Future”, organised
by Telecom Italia.
October 19 th 1996: Speaker at the Conference “Alimentation, a problem between production,
eating and health” Organized by District of Modena. Modena.
June 9 th -16 th 1996: Speaker at the International Conference organised by “MESIDU (Middle
Eastern Summer Institute on Drug Use) at the American Cultural Center Jerusalem. In this
Conference a group of international experts presented the state-of-art in the broad area of
substance use intervention to a limited group of Israeli and Palestinian policy makers and social
operators representing their Ministries of Health, Social Welfare, Education and Labor. The
topic was: “Artificial Neural Network methodology for Control Substance Use Prevention
Programs”. Jerusalem.
July 9th -14th 1995: Speaker at the International Conference organised by “MESIDU (Middle
Eastern Summer Institute on Drug Use) at the American Cultural Center Jerusalem. In this
Conference a group of international experts in the broad area of substance use intervention
have been presented state-of-the-art knowledge to a limited group of Israeli and Palestinian
policy makers representing their Ministries of Health, Social Welfare, Education and Labor.
The topic was: “New Tools to Implement and Control Substance Use Prevention Programs The Sonda Project”. Jerusalem.
February 11th 1995: Speaker at the Conference “Questa Mostra non è una Mostra”,
presentation of the first stage results of Progetto Sonda in the Local Health Unit n. 8 of
Veneto Region. Asolo (Treviso).
December 14th 1994: Speaker at the Conference organised by the District of Modena,
Department of Agriculture, on the topic “The Squashing Theory Model” in a project
“Alimentary Education and Use Oriented”. Modena.
July 20th 1994: Speaker at the Conference organised by UNICEF of Verona for the
presentation of the Project “B.A.M.B.I.” (Municipal Bank on Childhood Needs). Verona.
April 30th 1994: Speaker at the Conference “Crescere nel Girotondo della Complessità”
organised by the Industrials Association of the District of Verona, Industrial Jung Group, on
the topic “The Brain within the Brain: 0-18 years and the Butterfly’ beat-wings”. Verona.
April 27th -30th 1994: Speaker at the 3rd European Conference of Therapeutic Communities
“Therapeutic Community and the Community Outside” organised by the Centro Ambrosiano
di Solidarietà, on the topic “Squashing Theory as a Prediction Model on Drug-Addicted
Behaviours and as a finger-post of Therapeutical Routes”. Milan.
October 20th -23rd 1993: Speaker at the 1st Meeting of the Society for Prevention Research,
organised by the University of Kentucky and NIDA (National Institute on Drug Abuse), on
the topic “Squashing Theory. A Neural Networks Model for Complex Systems Prediction”.
Lexington, Kentucky.
July 19 th 1993: Speaker at the Conference organised by UNICEF of Verona on the initiative
“Mayors Tutor of Childhood”, project born in 1989 with approval of the O.N.U.. Verona.
June 12th 1993: Speaker at the meeting on “Drug-Addiction Prevention” organised by the
Library of Maddaloni (Campania Region). Maddaloni (Caserta).
May 28th 1993: Speaker at the meeting on the project “Urban Archaeology” organised by the
Town Council of La Spezia (Liguria Region) and by the Technical Institute V. Cardarelli,
within the Sonda Project activities in La Spezia. La Spezia.
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May 20th 1993: Speaker at a program of Mono-Thematic seminars organised by the Faculty of
Agriculture Department of Food Science, University of Udine “Previsional Analysis on
Complex Systems: Squashing Theory and Artificial Neural Networks”. Udine.
March 2nd 1993: Speaker at the presentation of the results of the study on the “Evaluation of
drug-addicted subjects treated by Local Public Health Services. “Research and
Experimentation of an evaluation methodology”, project funded by the Veneto Region Local
Government, Department of Social Affairs and Youth Prevention Policy. Venice.
November 20th 1992: Lecturer at the International Symposium organised by the Italian
Government, dedicated at the “European Week on Prevention”, on the theme “Which
Prevention in a Changing Society”. Rome.
November 12th 1992: Lecturer on the theme “Follow-up Tools in Prevention”, at the
Conference “Health Education: Follow-up”, organised by Vigevano Health Unit. Vigevano
(Pavia).
October 21st -24th 1992: Lecturer at the International Symposium Beyond Dualism: “Health
as a Social Construction, Theories, Practices, Policies”. Parma.
October 14th -16th 1992: Lecturer at the Second International Conference “Vehicle Comfort:
Ergonomic, Vibrational, noise and thermal aspects” on the topic “Gesturing Test: a model of
qualitative ergonomics”, organised by ATA (Associazione Tecnica dell’Automobile). Bologna.
October 9th 1992: Chairperson at the Conference “Sonda Project: Results”. Vigevano (Pavia).
October 2nd 1992: Main Lecturer on the theme “HIV: to Know and to Prevent” at the
Conference organised by the Pavia Town Hall. Pavia.
August 16th -21th 1992: Lecturer at the 36th “International Congress on Alcohol and Drug
Dependence”, on the topic “Primary Prevention from Drug and Psychological Disorders: new
strategies and new models”. Glasgow.
26th to 28th June 1992.:Speaker at the International Congress "The Route of Drugs" organized
by the Solidarity Center in Genoa, Plenary Session "Educate to Prevent", on "The Prevention
of Why." Genoa 26 to 28 June 1992.
May 9th , 1992.:Speaker at the Conference on "Food and lifestyle in 90 years: pre-adolescent
and adolescent age" held in Milano Marittima (Emilia Romagna), at the Hotel Aurelia, on the
theme "Food as Communication." Milano Marittima.
March 1992:Speaker at the conference "A city in the mirror", presenting the results of the first
stage of the Project Probe of Parma, held in the Auditorium of Centre Services "Cavagnari".
Parma,
24th to 25th:October 1991: Speaker with a lecture titled "The MQ Model: interpersonal
relationship using neural networks", performed at the University of Houston-Department of
Psychology. Houston, Texas, USA..
20th -23 th:October 1991: Speaker at Symposium: "International Drug Abuse Prevention
Research Symposium", organized by NIDA, with a report titled "The MQ Model:
interpersonal relationship using neural networks". Lexington, Kentucky, USA.
July 1991.:Speaker at the conference "Population at Risk" seminar on the prevention of
disorder at the research results of the probe on the Project "Prevention executed." Modena.
April 1991: Speaker at conference on "Prevention and problems of communication", organized
by Ce.IS of Avellino, under the patronage of the Regione Campania..
December 1990: Lecturer at the international meeting “Reuniòn Internacional de Expertos en
Prevenciòn de Drogodependencias”, held at Alicante (Spain).
November 1989: Lecturer at the international meeting “Choices of life, choices of death”,
organised by the Office of Social Services, Regione Veneto (Italy).
June 1989: Director of the research and the course on “Social disease and communicational
resources”, addressed to the children of different elementary schools of Ravenna (Italy).
(Congratulation letter for the results at the end of the research from the Local Education
Office of Ravenna).
May 1989: lecturer and Director of the specialised workshop for socio-sanitary operators on
the social disease in incubation, organised by the Nice Provence (France).
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May 1989: Conference on the theme “Prevention, complexity and learning”, held at Francavilla
sul Sinni, Matera (Italy).
April 1989: Conference on the theme “Prevention, complexity and learning”, held at Lavello,
Potenza (Italy).
April 1989: lecturer at the Meeting on the Primary Prevention organised by the Ticino Canton
in Switzerland, held in Lugano.
March 1989: Lecturer at the Meeting “Information: disease prevention?” and co-ordinator of
the workshop “Brain: complexity and disease”, organised by the Administration of the
Province of La Spezia (Italy).
February 1989: Lecturer at the meeting “The body in the mass media versus the quotidian
body”, organised by the Office of Sport of the City of Verona (Italy).
May 1988: lecturer at the Meeting on Primary Prevention, organised by the Lyon University
and the French Ministry of Education, held in Nice (France).
Jan.26 th 1988: lecturer on the theme “MAC P: a new Theory for the Generation of Complex
Systems in Artificial Intelligence”, at LAMS (Laboratory for the Microsystems Analysis). Padua
(Veneto).
Oct.1st -2nd 1987: lecturer on the theme “Prevention: The Complexity of Looser”, at
Convention “Drugs and Sports”, organized at Verona (Veneto) by Opera Don Calabria and
the Local Government.
May 19 th 1987: lecturer on the theme “The Scientific background of MAC P and MQ Models”
at the Department of Criminology of the University of Genoa (Liguria).
May 12 th 1987: lecturer on the theme “MAC P and MQ: two Models to manipulate cognitive
disturbs”. Seminar (8 hours) organised by the Provincia of Bergamo (Lombardia) on Semeion
Models on Cognitive Disability.
March 17 th -19 th /April 7 th -8 th 1987: Director and Professor of an Advanced Course on the
theme “Communication Processes between children of 5-11 aged”, organised by the Centre of
Public Health of Ravenna (Emilia Romagna).
March 11 th 1987: lecturer at the Conference organised by the City Library of Scandiano (Emilia
Romagna), on the theme “Strategy of Prevention from Cognitive Disability”.
March 4 th -6 th 1987: Director and Professor of the advanced course of Progetto Sonda on the
theme “MAC P Theory and MQ Model”. The students are social workers coming from Brescia
(Lombardia), Biella (Piemonte), Turin (Piemonte) and S.Giovanni Valdarno (Toscana).
Febr.27 th 1987: lecturer on the theme “Building Reality in Artificial Intelligence”, at the
Conference organised by the Centre of Systemic Therapy of Rome.
Febr.6 th 1987: lecturer on the theme “Computer Science and Learning” at the Convention on
“Communication and Education”, organised by the Comune of Messina (Sicily) and the
Department of Sociology of the University of Messina.
Lecturer at the “Conferences for the Presentation of the Results of the Observatory on
Incubation Disorder”, elaborated through the theoretical models of Sonda Project in the
following cities: TORINO, 22 th December 1986; BRESCIA, 30 th September 1987; VERONA,
May 1989; VIGEVANO, June 1989; MODENA, 12 th July 1991; VALDARNO, 6 th June 1987;
BRUGHERIO, May 1988; FIORENZUOLA-D’ARDA, June 1989; CASALE
MONFERRATO, June 1989; PARMA, 30 March 1992.
Lecturer on the “MQ Model: The Scientific Models to Manipulate Cognitive Disability”, at the
Inauguration Conference for the “Progetto Sonda” in the following cities: SAN MARINO, 14
April 1986; LARINO, 28 April 1986; S. GIOVANNI VALDARNO, 16 October 1986;
PESARO, 20 October 1986; ANCONA, 29 October 1986; VENEZIA, 5 November 1986;
PARMA, 7 November 1986; LA SPEZIA, 15 November 1986; MESTRE, 22 November 1986;
ALESSANDRIA, 24 November 1986; RAVENNA, 27 November 1986; CAMPOBASSO, 5
December 1986; ROSETO DEGLI ABRUZZI, 16 February 1987; ROVIGO, 2 March 1987;
LUCCA, 14 March 1987; VERONA, 27 March 1987; ALBA, 28 March 1987; TERNI, 6 May
1987; SARONNO, 9 May 1987; VIMERCATE, 15 May 1987; FIORENZUOLA, 19 th
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September 1987; VERBANIA, 10 th October 1987; BRUGHERIO, 8 November 1987;
CATANZARO, 12 th November 1987.
November 1986: Lecturer at the international meeting “Drugs: ancient culture, contemporary
culture”, held at Firenze (Italy).
Jan.1986: lecturer on the theme “What kind of Television for Children?”, at the Conference
organized by Video Sistemas, Caracas.
Jan.1986: lecturer on the theme “The Immoderate Actor and the Secondary One: The
Catastrophe of Cultures”, at the Conference organised by the Ateneo of Caracas, in the
“Concert Hall” of the Ateneo
Jan.1986: lecturer on the theme “Model for the Analysis of Advertising Messages”, at the
Conference organized by the Venezuelan Association Children Literature “Fundavelij”,
Caracas.
Jan. 1986: lecturer on the theme “Theory of Actor”, at the Conference organised by the
Andres Bello University, Caracas.
Jan.1986: lecturer on the theme “What is a Language?”, at the Conference organised by the
Cultural Direction of the Central University of Venezuela.
Jan. 1986: lecturer on the theme “Analysis of Cognitive Systems”, at the Conference organised
by the Director of Doctorate Courses in Social Sciences of the Central University of
Venezuela.
Jan.1986: Lecturer on the “New Models of Teaching Scientific Theories” at the CENAMEC
(Centro Nacional para el Mejoramiento de la Esenanza de la Ciencia), during a meeting to
which the Director of Cenamec and the Co-ordinators of Mathematics-Biology, Chemistry,
Physics and Science of the Earth, took part. Caracas.
Jan. 15th 1986: lecturer on the theme “Analysis of Visual Texts”, at the Conference organised
by the Venezuelan Children Foundation, Caracas.
May 16th 1985: lecturer at the International Convention on “Didactic Paradigm in Computer
Science”, held in Camerino, Italy; topic: “Communication, Learning and Computer Science”.
March 1st 1985: at the Institute of Journalism and Audio-visual Techniques, held at Camerino,
Italy, lecturer on the theme: “The Credibility of Visual Information in Fiction”.
Feb.22th -24th 1985; at the International Convention on “Semiotics and the Middle Ages”, held
at National Library (Rome): Co-ordinator of the section: “The Mass Media’s Point of View on
the Middle Ages”; Lecturer on the theme: “The Iron and Fire Logic”.
July 1984: at the Convention of Studies on “Drug and Communication”, promoted by the
Italian Government’s “Presidenza del Consiglio dei Ministri” and organised by the “Centro
studi sugli Investimenti Sociali” (CENSIS) and the “Giorgio Cini Foundation”, Venice, Italy:
Lecture on “Communication Strategies and Drugs”; Scientific Consultant for the Convention
Director of the guided exhibition of international posters regarding Dissuasive Communication.
Feb.2nd -18th 1984: lecturer on “The Semantics of Audio-visual Communication”, at the
Research Institute on Communication, Professional Oriented and Training (IRCOF), funded
by CEE, Rome.
Jan. 10th & 28 th 1984: lecturer on “Manifest and Hidden Languages in Telenews I and II”, at
the Institute of Journalism an Audio-visual Techniques, Rome.
Nov.1983: lecturer on “Prevention and Communication” at the Updating Course for Teaching
Personnel on Health and Prevention of Drug Abuse, held at Chieti (Italy) as a follow-up to the
above-mentioned convention.
Oct. 8 th -15 th 1983: lecturer at the Convention held at Città di Castello (Perugia, Italy), held by
the Unità Sanitaria Locale (Regional health unit) entitled: “Drug - Why?”, topic of lectures:
“Strategies in the Prevention of Drug Abuse”.
Dec.1983: lecturer at the Institute of Journalism and Audio-visual Techniques (Istituto
Superiore di Giornalismo e Tecniche Audiovisive - formally recognized by the Italian Ministry
of Education as a “Scientific Institute”) on “Rhythmic Structures of Telenews”.
Nov.-Dic.1982: lecturer at the regional seminar, held by the Department of Social Security of
the Region Emilia-Romagna, regarding the qualifications of health service officials/workers;
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3.205.
3.206.
3.207.
the seminar as an intensive course to bring such employees up to date on matters related to
information on and prevention of drug abuse. Topic of lectures: “Dissuasive Communication”.
Sept. 29 th Oct. 2nd 1982: invited to lecture at the 38th National Convention of the “Società
Italiana di Anatomia”, topic: “The scientific film: technical contributions”.
Sept.1982; lecturer at the 6th International Scientific Film Festival of Marburg (Frankfurt,
W.Germany). the “Medikinale International”. Topic of lecture: Scientific films and dissuasive
languages.
Nov.1981: lecturer at the Institute of Political Science, University of Perugia, on “The
Languages of TV News”.
Feb.1981: lecturer at DAMS Institute, at Chair of Semiotics, University of Bologna, on “Visual
Enunciation”.
Nov.1980: lecturer at the Convention on “Semiotics of the Performance” held in Palermo.
Sicily; topic: “Languages of Cinema”.
Sept.1980: lecturer at the First Convention on Raymond Chandler held at Cattolica (Italy);
topic: “The Thriller”.
May 1980: lecturer at the First Convention on Alfred Hitchcock held in Rome by Filmcritica
magazine and the Region Lazio.
May 1979: lecturer at the Third Convention of the Institute of Modern Philology, at University
of Rome. Topic: “Meta- theory of the text”.
May 1978: lecturer at the Third Convention of the Institute of Modern Philology, at University
of Rome. Topic: “Meta- theory of the text”.
4. Institutional Charges
4.1.
4.2.
4.3.
4.4.
4.5.
4.6.
4.7.
4.8.
4.9.
4.10.
4.11.
4.12.
4.13.
4.14.
4.15.
4.16.
4.17.
4.18.
4.19.
SCIENTIFIC COORDINATOR for Italy of Italian-US bilateral project "Artificial Adaptive
Systems in Medicine", whose scientific coordinator for the United States is Professor Weldon
Lodwick of the University of Colorado, Denver. The project was developed in the years 20112013, in the framework of the Agreement on Scientific and Technological Cooperation
between Italy and the United States of America, signed in Rome December 13, 2010.
CONSULTANT of "Prime Minister", the Italian Government. Since July 2009.
CONSULTANT of "New Scotland Yard", London, UK. From 2003 to 2007.
SCIENTIFIC ADVISER AND MANAGER of the research team for the development, with
systems based on Artificial Neural Networks (Semeion ©), the data of the international project
"The Metropolitan Police Service Central Drug Trafficking Database: Business Case" on behalf
of New Scotland Yard - Specialist Crime Directorate. From February 2005.
SCIENTIFIC ADVISER Commission "Research and Innovation" of Confindustria. From
2000 to 2005.
DIRECTOR of Research in partnership with Bracco SpA for the design, study, analysis and
testing of systems and procedures based on Artificial Neural Networks, fi-CUSTOMISED
application in the pharmaceutical field, in the imaging and biomedical instrumentation. From
2000 to 2009.
SCIENTIFIC CONSULTANT for the Project "Monitoring of the regional sports system" of
Emilia Romagna. From 2000 to 2002.
DIRECTOR Research entitled "Simulation Model for a New Business Climate", through the
use of Artificial Neural Networks for TNT Global Express. From April 1999 to December
1999.
SCIENTIFIC ADVISOR 4.8 of Alitalia Express for the optimization of rotations of the crew.
From 1999 to 2000.
RESPONSIBLE RESEARCH project "Development of a System based on Neural Network
technique for the analysis of experimental data and results of combustion models." ENEA
MURST Program for Applied Research. From 1999 to 2000.
MEMBER of the Research Group "Veritatis Splendor", Institute for Cultural Research and
Training Catholic Cardinal Giacomo Lercaro Foundation, Bologna. Year 1999.
SCIENTIFIC DIRECTOR of P.O.M. "Design, Development and Testing of a System of
Professional Role Orientation to the Technology of Artificial Neural Networks", funded by the
Ministry of Labour and the European Social Fund. August 1998 - March 2001.
MEMBER of the working group for the analysis of procedures for statistical processing of
qualitative and quantitative studies of the sector and for application of systems of Artificial
Neural Networks "School Tax E. Vanoni "(Rector Decree n. 105 / D 01.08.1996), Ministry of
Finance. From 1996 to 1997.
SCIENTIFIC ADVISOR 4.13 for ENEA, IRI Group. From 1996 to 1997.
SCIENTIFIC ADVISOR 4.14 for ITALIAN FOREIGN EXCHANGE OFFICE, Bank of
Italy. year 1996.
SCIENTIFIC ADVISOR 4.15 Application of Artificial Neural Networks to industrial
processes on behalf of the Materials Development Center (IRI). From February 1995 to
February 1996.
CONSULTANT GROUP for the SCIENTIFIC SOPIN, Society for Information Technology.
From 1995 to 1998.
CONSULTANT for the "Prevention of Discomfort from" Project Probe in the following
cities:-Acireale (CT) - Lerici (SP) - Brugherio (MI) - Modena - Caltagirone (CT) - Noventa
Vicentina (VI); - Casale Monferrato (AL) - Parma - Cittadella (PD) - Portsmouth (VE) - Genoa
- Vigevano (PV) - La Spezia - Castelfranco Veneto (TV). From 1990 to 1996.
MEMBER of the Scientific Committee on the project "Evaluation of drug addicts treated by
the Public Services UU.LL.SS. Research and testing of an assessment methodology ", Veneto
4.20.
4.21.
4.22.
4.23.
4.24.
4.25.
4.26.
4.27.
4.28.
4.29.
4.30.
4.31.
4.32.
4.33.
4.34.
4.35.
4.36.
4.37.
Region, Department of Social Services, Department for Youth Policy and Prevention. From
1990 to 1992.
DIRECTOR of "Project in incubation to prevent hardship and self-destructive behaviors,
Probe II", three-year project of the Veneto Region, Department of Social Services,
Department for Youth Policy and Prevention. From 1990 to 1992.
DIRECTOR SCIENTIFIC software project for an intelligent distributed intelligence expert on
public works, on behalf of CASE CONSTRUCTION of Teramo. From 1989 to 1992.
DIRECTOR SCIENTIFIC software project for an intelligent distributed intelligence expert on
public works, on behalf of CASE CONSTRUCTION of Teramo. From 1989 to 1992.
SCIENTIFIC ADVISOR 4.22 of Intercomp SpA, Italian company producer of computers.
From 1990 until 1998.
SCIENTIFIC ADVISOR 4.23 of the movie "The Paths of Discomfort: prevention," made by
the Company with the collaboration of the Golden Light and the patronage of the Ministry of
Foreign Affairs. 1989-1991
SCIENTIFIC ADVISOR 4.24 for the problems of Abel Communications Group of Turin.
From February 22, 1985
DIRECTOR of RESEARCH "The Discomfort Incubation in the Basilicata Region",
organized by the Department of Social Security of the Region Basilicata. 1989-1990.
SCIENTIFIC ADVISOR Orchestra Sinfonica "Arturo Toscanini" in Emilia Romagna. From
1987 to 1990.
MEMBER OF THE COMMITTEE of experts labos for the design of a training course for
print journalists and media operators, on the theme of "communication and drugs" on behalf
of the italian ministry of interior. Since october 1987.
THE CREATOR AND PROJECT LEADER PROBE, primary prevention project from
discomfort cognitive and communicative. By March 1985. The project was inaugurated in
January 1986 with the patronage of the Ministry of Interior, Ministry of Health and Ministry of
Education. Project Probe was activated in 46 Italian cities, is the Pilot Project in Veneto
Region and the Region of Liguria, in addition to funding received from various departments of
the towns where it was built from 1991, the Ministry of Social Affairs has started to fund the
most active cities Project probe. The probe design has been presented at international
conferences including the most important were: • November 1990, Alicante (Spain) "Reunion
Internacional de expertos en de Prevencion Drogodependencias" • October 1991, Lexington,
Kentucky (USA) "International Drug Abuse Prevention Research Symposium "• August 1992,
Glasgow (Scotland)" 36th International Congress on Alcohol and Drug Dependence "; • July
95, Jerusalem (Israel)" MESIDU (Middle Eastern Summer Institute on Drug Use). "
BOOK EDITOR's Communication on "Boomerang Effect", the bimonthly magazine "The
Dolphin" of the Italian Centre of Solidarity (CEIS). Since January of 1985.
DIRECTOR of the Research Laboratory: "Performance and Technology Vision" in the 5 th
edition of the Festival Centre Mario Apollonio. ROME, 12th -28th April 1984.
SOCIO dell’Istituto di Studi sul Servizio Sociale (ISTISSS). Dal 22 Marzo 1984.
SCIENTIFIC CONSULTANT for the Advertising SARIN SpA (SARIN-SEAT, GROUP
STET). By March 1984.
COMMISSIONED by the City of Rome to conduct a search on the theme: "Drugs and Mass
Media: Analysis and Proposals". November 1982, April 1983.
INVITED by the Regional Council for Health (Lazio Region) to present their research on the
languages of the Health and Social Prevention, in an official meeting of the Council. ROME
April 5 th, 1983.
COMMISSIONED by the International Institute on Human Rights of Trieste to develop a
plan for organizing and structuring in the "teachings" of the Institute. November 1982.
COMMISSIONED by the Department of Development Cooperation and the Ministry of
Foreign Affairs of Italian Mission to Jordan for the development of a search on "Structures
Sociocomunicative in children (3-6 years) with language problems and hearing" at the
4.38.
4.39.
4.40.
4.41.
4.42.
4.43.
4.44.
4.45.
Diagnosis and Rehabilitation center in Amman. The qualification with which the undersigned
was invited to be expert in Communication and Linguistics. August 3rd to 30th 198
CONFERENCES IN CHARGE of 12 at the school Tullio Levi-Civita of Rome (during
school hours) on the theme: The Languages of Movies: Introduction, Methods and Practice,
with processing Handouts for internal school use. January 1982-May 1982
CHARGE at the center of a Roman Semiotics Workshop: The wording in Greimas. October
1981-March 1982.
DIRECTOR Research "Semiotics of Newscast: Analysis of a corpus of 24 TV News for the
development of new grammars for reading the audio-visual texts." Principal Research Service
Verification Program Sent RAI. September 1981-February 1982.
SCIENTIFIC ADVISOR 4:39 of the IRAA (Institute for Research on the Art of the Actor based in Rome). 1981-1986.
COMMISSIONED a Course Seminar on the theme: Languages Audiovisual: Film and
Television Institute of History of Theatre and Performing Arts University of Rome (Chair of
Prof. Adriano Magli). February to May 1981.
IN CHARGE of a course at the School of Rome on Gramsci: Semiotics of Film. February
1981.
IN CHARGE of a cycle of conferences on Semiotics Greimasiana 6, at the Center for
Semiotics Romano (CRS), the headquarters of the New Italy Editrice in Rome. October 1980February 1981.
MEMBRO UFFICIALE di una “Réunion d’experts pour la préparation d’un course intensif
européen sur l’enseignement des droits de l’homme dans les facultés de medicine”, Conseil
d’Europe. TRIESTE 25th -26 th Novembre 1980.
5. Books
5.1.
5.2.
5.3.
5.4.
5.5.
5.6.
5.7.
5.8.
5.9.
5.10.
5.11.
5.12.
5.13.
5.14.
5.15.
5.16.
5.17.
5.18.
5.19.
5.20.
5.21.
5.22.
5.23.
5.24.
Intelligent Data Mining in Law Enforcement Analytics, with Tastle W. (Eds), Springer, January
2013.
Data Mining Applications Using Artificial Adaptive Systems, with Tastle W. (Ed), Springer,
January 2013.
Advanced Networks, Algorithms and Modeling for Earthquake Prediction, with Marina
Ruggieri, River Publishers (Eds), 2011.
Applications of Mathematics in Models, Artificial Neural Networks and Arts - Mathematics
and Society, with V. Capecchi , P. Contucci, , B. D'Amore (Eds), Springer, 2010
Artificial Adaptive Systems in Medicine: New Theories and Models for New Applications, with
E. Grossi, Bentham Science Publishers E-Book, 2009.
L’Immagine della Criminalità nei Mass-Media - Semeion Technical Paper 1/2, with G. Massini,
Aracne Ed., Rome 2008.
Sistemi ACM e Imaging Diagnostico – Le immagini mediche come Matrici Attive di
Connessioni, [ACM Systems and Diagnostic Imaging- Medical Images as Active Connection
Matrix] Springer Verlag, Milan, 2006.
Ricerca Scientifica e Innovazione – Le parole chiave, [Scientific Research and Innovation-Key
Words] Rizzoli, Milan, 2003, Rubbettino Editore reprint , Soveria Mannelli (CZ), 2004.
Reti Neurali Artificiali per l’orientamento professionale,[Artificial Neural Networks for
professional orientation] Franco Angeli Editor, Milan, 2002.
Reti Neurali Artificiali. Teoria, Modelli e Applicazioni. [Artificial Neural Networks. Theory,
Models and Applications] Vol. II: Applicazioni, Franco Angeli Editor, Milan, 1999.
Reti Neurali Artificiali. Teoria, Modelli e Applicazioni. [Artificial Neural Networks. Theory,
Models and Applications] Vol. I: Teoria e Modelli;
Artificial Neural Networks and Complex Social Systems (ed.), Special Issue of Substance Use
& Misuse, Vol. 33 no. 3 Applications pp. 555-916, Marcel Dekker, Inc. New York, 1998.
& Misuse, Vol. 33 no. 2 Models pp. 221-554, Marcel Dekker, Inc. New York, 1998.
& Misuse, Vol. 33 no.1 Theory pp. 1-220, Marcel Dekker, Inc. New York, 1998.
Reti Neurali e Finanza. Esercizi, Idee, Metodi e Applicazioni [Neural Networks and
Finance,Exercises,Ideas, Methods and Applications] (with F. Matera, T. Nocentini and P.L.
Sacco), Quaderno di Ricerca n. 2, Armando Editor, Rome 1997.
Idee da Buttare [Throw Ideas Away] (Edizioni Sonda), Turin, 1994.
Reti Neurali AutoRiflessive, Teoria, Metodi, Applicazioni e Confronti [AutoReflexive Neural
Networks, Theory, Methods, Applications and Comparisons] (with G. Didoné and M. Pandin),
Quaderno di Ricerca n.1, Armando Editor, Rome 1994.
Squashing Theory: A Neural Networks Model for Complex Systems Prediction, Armando
Editor, Rome 1994.
Il Modello MQ: Reti Neurali e Percezione Interpersonale [MQ Model: Neural Networks and
Interpersonal Perception] (with Giulia Massini), Armando Editor, Rome 1993.
Il Progetto Sonda. La Prevenzione dai Comportamenti Auto ed Etero-distruttivi, [Sonda
Project. The Prevention from Auto and Hetero-Destructive Behaviors].Semeion Edit., Rome
1992.
Prevenzione e Dissuasione. [Prevention and Dissuasion] EGA, Turin, 1986.
Comunicazione Dissuasiva [Dissuasive Communication] (with G.Bartolomucci). Published by
The Roman Administration’s Health Service Department, Rome 1986.
Il Film a Luci Rosse [Pornographic Film](ed.). published by Libero Scambio Editore, Florence,
1982.
Analisi Semiotica del Telegiornale [Semiotic Analysis of Newscast]. Vol. Iº IIº, published by
ERI (Edizioni Radiotelevisive Italiane), Turin 1982.
6. Scientific Publications
6.1.
6.2.
6.3.
6.4.
6.5.
6.6.
6.7.
6.8.
6.9.
6.10.
6.11.
6.12.
6.13.
6.14.
6.15.
The perception of corruption in health: AutoCM methods for an international comparison,
Paolo Massimo Buscema, Lara Gitto, Simone Russo, Andrea Marcellusi, Federico Fiori,
Guido Maurelli, Giulia Massini & Francesco Saverio Mennini. Quality & Quantity,
International Journal of Methodology, ISSN 0033-5177, DOI 10.1007/s11135-016-0315-4. 20
February 2016.
The contribution of Artificial Adaptive System to limit the influence of systematic errors in the
definition of the kinematic behavior of an extremely-slow landslide, M.Vincenzo Massimi,
Masoud Asadi-Zeydabady, Massimo Buscema, Donatella Dominici, Weldon Lodwick, Lucia
Simeoni, Engineering Geology, Available online 30 December 2015.
Pattern recognition for flank eruption forecasting: An application at Mount Etna volcano
(Sicily, Italy), A. Brancato, M. Buscema, G. Massini, S. Gresta, Open Journal of Geology
(OJG), 2015 (accepted).
The H0 function, a new index for detecting structural/topological complexity information in
undirected graphs. Massimo Buscema, Masoud Asadi-Zeydabadi, Weldon Lodwickb, Marco
Breda. Elsevier, Physica A 447 (2016) 355–378. 23 December 2015.
Why Mathematical Computer Simulations Are the New Laboratory for Scientists. M.
Buscema. Substance Use & Misuse, 50:8-9, 1058-1078. 11 Septembre 2015.
Multidimensional Similarities at a Global Scale: An Approach to Mapping Open Society
Orientations. M. Buscema, P. L. Sacco, G. Ferilli. Springer Science+Business Media Dordrecht
2015. DOI 10.1007/s11205-015-1077-4. August 2015.
Artificial Adaptive Systems to predict the magnitude of earthquakes. M. Buscema, G.
Massini,G. Maurelli. Bollettino di Geofisica Teorica ed Applicata. Vol. 56, n. 2, pp. 227-256;
June 2015.
Artificial Neural Network. What-If Theory. M. Buscema, W. J. Tastle. International Journal
of Information Systems and Social Change, 6(4), 52-81, October-December 2015. July 2015.
Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel
Algorithms Generating Semantic Maps and Prototypical Discriminating Variable Profiles. M.
Buscema, E. Grossi, L. Montanini, M. E. Street. Plos one, DOI:10.1371/journal.pone.
0126020, July 2015.
An improved I-FAST system for the diagnosis of Alzheimer’s diseasefrom unprocessed
electroencephalograms by using robust invariantfeatures. M. Buscema, F.Vernieri, G. Massini,
F. Scrascia,M. Breda, P. M. Rossini, E. Grossia. Artificial Intelligence in Medicine 64 (2015)
59–74. Elsevier. May 2015
Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual:
insights from an observational study using artificial neural networks. A. Narzisi, F.Muratori, M.
Buscema, S. Calderoni, E. Grossi. Neuropsychiatric Disease and Treatment 2015:11 1587–
1599, Dovepress, 30 June 2015.
Understanding Cultural Geography as a Pseudo-Diffusion Process: The Case of the Veneto
Region. G. Ferilli , P. L. Sacco, M. Buscema and G. Tavano Blessi . Economies 2015, 3, 100127; doi:10.3390/economies3020100.
Application of artificial neural networks to link genetic and environmental factors to DNA
methylation in colorectal cancer, F. Coppedè, E. Grossi, A. Lopomo, R. Spisni, M. Buscema,
L. Migliore, Epigenomics, (2015) 7(2), pp. 175–186, DOI:10.1371/journal.pone.0125876.
Networks in Coronary Heart Disease Genetics As a Step towards Systems Epidemiology, F.
Drenos,
E.
Grossi,
M.
Buscema,
S.
E.
Humphries,
PLOS
ONE,
DOI:10.1371/journal.pone.0125876, May 7, 2015.
Cultural Geography as a Pseudo-Diffusion Process. The Region of Veneto Case. G. Ferilli,
P.L. Sacco, M. Buscema, G. Tavano Blessi , Economies 2015, 3, 100-127;
doi:10.3390/economies3020100.
6.16.
6.17.
Analyzing the semantics of point spaces through the topological weighted centroid and other
mathematical quantities: the hidden geometry of the global economic order, Computational
Intelligence, M. Buscema, P.L. Sacco, G. Ferilli, M. Breda, E. Grossi, Volume 31, Number 3,
2015.
Alzheimer’s Disease and Mild Cognitive Impairment Disclosed by a Novel Data Mining
Process, M. Gironi, B. Borgiani, E. Farina, E. Mariani, C. Cursano, M. Alberoni, R. Nemni, G.
Comi, M. Buscema, R. Furlan and E. Grossi, Journal of Alzheimer’s Disease 43 (2015) 1199–
1213, DOI 10.3233/JAD-141116.
6.18.
6.19.
6.20.
6.21.
6.22.
6.23.
6.24.
6.25.
6.26.
6.27.
6.28.
6.29.
6.30.
6.31.
6.32.
A New Risk Chart of Acute Myocardial Infarction in Men by an Innovative Algorithm: A Pilot
Study, F. Licastro, M. Ianni, G. Campo, R. Ferrari, E. Porcellini, M. Buscema, E. Grossi,
Current Pharmacogenomics and Personalized Medicine, pages 159-166, dicember 2014.
New Risk Chart for Acute Myocardial Infarction by a Innovative Algorithm, F. Licastro, M.
Ianni, R. Ferrari, G. Campo, M. Buscema, E. Grossi and E. Porcellini, In Proceedings of the
International Conference on Health Informatics (HEALTHINF 2015), pages 252-259, gen
2015. DOI: 10.5220/0005183102520259.
A Global Immune Deficit, M. Gironi, B. Borgiani, E. Farina, E. Mariani, C. Cursano, M.
Alberoni, R. Nemni, G. Comi, M. Buscema, R. Furlan and E. Grossi, in Alzheimer’s Disease
and Mild Cognitive Impairment Disclosed by a Novel Data Mining Process, Journal of
Alzheimer’s Disease 43 (2015) 1199–1213. DOI 10.3233/JAD-141116.
K-CM: A new artificial neural network. Application to supervised pattern recognition, M.
Buscema, V. Consonni, D. Ballabio, A.Mauri, G. Massini , M. Breda , R. Todeschini,
Chemometrics and Intelligent Laboratory Systems 138 (2014) 110–119.
Innovative diagnostic tools for early detection of Alzheimer’s disease, C. Laske, H. R. Sohrabi,
S. M. Frost, K. Lopez-de-Ipina, P. Garrard, M. Buscema, J. Dauwels, S. R. Soekadar, S.
Mueller, C. Linnemann, S. A. Bridenbaugh, Y. Kanagasingam, R. N. Martins, S. E. O’Bryant,
Alzheimer’s & Dementia, Eselvier Editore, dicember 2014.
Analytical Archaeology and Artificial Adaptive Systems, M. Buscema, in Archeosema
Artificial Adaptive Systems for the Analysis of Complex Phenomena (Collected Papers in
Honour of David Leonard Clarke), M. Ramazzotti Ed, ISSN 2385-202X, All’Insegna del
Giglio, November 2014.
Artificial Neural Networks An overview and their use in the analysis of the AMPHORA-3
Dataset, Paolo Massimo Buscema, Giulia Massini, and Guido Maurelli, Informa Healthcare,
Substance Use & Misuse, Early Online:1–14, 2014. Luglio 2014.
Analyzing the semantics of point spaces through the topological weighted centroid and other
mathematical quantities: the hidden geometry of the global economic order. M. Buscema,
P.L. Sacco, G. Ferilli, M. Breda, E. Grossi; Computational Intelligence, doi:
10.1111/coin.12040, 2014.
Prediction of optimal warfarin maintenance dose using advanced artificial neural networks. E.
Grossi, G.M. Podda, M. Pugliano, S. Gabba, A. Verri, G. Carpani, M. Buscema, G. Casazza,
M. Cattaneo, in Pharmacogenomics (2014) 15(1), 29–37.
.Locating the source of public health events using intelligent adaptive systems: 2011 United
States listeriosis outbreak linked to whole cantaloupes, Bronstein, AC; Buscema, M; Esfahani,
A; Lodwick, WA; Grossi, E; Clinical Toxicology 51,7,625-626, Informa Healthcare, 2013.
Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis: An
Artificial Neural Networks Solution in Patients with Computed Tomography Detected
Coronary Artery Disease, Compare A., Grossi E., Buscema M., Zarbo C., Xia M., Faletra F.,
Pasotti E., Moccetti T., Mommersteeg P.M. C., and Auricchio A., Hindawi Publishing
Corporation Cardiovascular Psychiatry and Neurology, August 2013.
Application of artificial neural networks to investigate one-carbon metabolism in Alzheimer's
disease and healthy matched individuals. Coppedè F, Grossi E, Buscema M, Migliore L.,
PLoS One, Pub Med, NCBI, 12 August 2013.
Artificial Neural Networks, and Evolutionary Algorithms as a systems biology approach to a
data-base on fetal growth restriction, M.E. Street, M. Buscema, A. Smerieri, L. Montanini, E.
Grossi, in Prog Biophys Mol Biol., 2013, Jul 1.
A New Algorithm for Identifying Possible Epidemic Sources with Application to the German
Escherichia coli Outbreak, M. Buscema, Enzo Grossi, Alvin Bronstein, Weldon Lodwick,
Masoud Asadi-Zeydabadi, Roberto Benzi, Francis Newman in ISPRS International Journal of
Geo-Information, 2013, 2, 155-200.
Training with Input Selection and Testing (TWIST) Algorithm: A Significant Advance in
Pattern Recognition Performance of Machine Learning, M. Buscema, Breda M, Weldon
Lodwick W., Journal of Intelligent Learning Systems and Applications, 2013, 5, 29-38.
6.33.
6.34.
6.35.
6.36.
6.37.
6.38.
6.39.
6.40.
6.41.
6.42.
6.43.
6.44.
6.45.
6.46.
6.47.
6.48.
6.49.
6.50.
Law Enforcement and Artificial Intelligence, M. Buscema, in Intelligent Data Mining in Law
Enforcement Analytics, Ch. 01, Tastle W.J, (Eds) Springer, January 2013.
The General Philosophy of Artificial Adaptive Systems, M. Buscema, in Intelligent Data
Mining in Law Enforcement Analytics, Ch. 1 Tastle W.J, (Eds), Springer, January 2013.
A Brief Introduction to Evolutionary Algorithms and the Genetic Doping Algorithm, M.
Buscema, M. Capriotti, in Intelligent Data Mining in Law Enforcement Analytics, Ch. Tastle
W.J, (Eds), Springer, January 2013.
Artificial Adaptive Systems in Data Visualization: Pro-Active data, M. Buscema, in Intelligent
Data Mining in Law Enforcement Analytics, Ch.3, Tastle W.J, (Eds), Springer, January, 2013.
Supervised Artificial neural Networks: Back Propagation Neural Networks, in Intelligent Data
Mining in Law Enforcement Analytics,Ch.7, Tastle W.J, (Eds), Springer, January 2013.
Metaclassifiers, M. Buscema, S. Terzi, in Intelligent Data Mining in Law Enforcement
Analytics, Ch.9, Tastle W.J, (Eds), Springer, January 2013.
Auto Identification of a Drug Seller Utilizing a Specialized Supervised Neural Network, M.
Buscema, M. Intraligi, in Intelligent Data Mining in Law Enforcement Analytics, Ch. 10,
Tastle W.J (Eds), Springer, January 2013.
Theory of Constraint Satisfaction Neural Networks, M Buscema, Ch.13, in Intelligent Data
Mining in Law Enforcement Analytics, Tastle W.J, (Eds), Springer, January 2013.
Application of the Constraint Satisfaction Network, M. Intraligi, M. Buscema, in Intelligent
Data Mining in Law Enforcement Analytics, Ch.13, Tastle W.J, (Eds), Springer, January 2013.
Auto-Contractive Maps, h Function and the Maximally regular Graph: A new methodology for
data mining, M. Buscema, in Intelligent Data Mining in Law Enforcement Analytics, Ch.15,
Tastle W.J, (Eds), Springer, January 2013.
Auto Contractive Map sand Minimal Spanning tree: Organization of Complex datasets on
criminal behavior to aid in the deduction of network connectivity; G. Massini, M. Buscema,
Ch. 17, in Intelligent Data Mining in Law Enforcement Analytics, Tastle W.J, (Eds), Springer,
January 2013.
Data Mining Using Non-linear Auto Associative Artificial Neural Networks: The Arrestee
Dataset, in Intelligent Data Mining, M. Buscema, in Law Enforcement Analytics, Ch.18,
Tastle W.J, (Eds), Springer, January 2013.
Artificial Adaptive System for Parallel Querying of Multiple Databases, M. Buscema, in
Intelligent Data Mining in Law Enforcement Analytics, Ch.5, Tastle W.J, (Eds), Springer,
January 2013.
Assessing Post-Radiotherapy Treatment involving Brain Volume Differences in Children: An
Application of Adaptive Systems Methodology, M Buscema, F Newman, G Massini, E
Grossi, W J. Tastle, and A K. Liu, in Data Mining Applications Using Artificial Adaptive
Systems, Ch. 1, pp 1-23, Tastle W.J (Ed), Springer, New York 2013.
J-Net: an Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization,
M Buscema, R Passariello, E Grossi, G Massini , F Fraioli, G Serra, C Catalano, in Data
Mining Applications Using Artificial Adaptive Systems, Ch.2, pp 25-61, Tastle W.J (Ed),
Springer , New York 2013.
Population Algorithm: A New Method of Multi Dimensional Scaling, G Massini, S Terzi, M
Buscema, in Data Mining Applications Using Artificial Adaptive Systems, Ch.3, pp 63-73,
Tastle W.J (Ed), Springer , New York 2013.
Semantics of Point Spaces through the Topological Weighted Centroid and Other
Mathematical Quantities- Theory & Applications, M. Buscema, M. Breda, E. Grossi, L.
Catzola, PL Sacco, in Data Mining Applications Using Artificial Adaptive Systems, Ch.4, pp
65-139, Tastle W.J (Ed), Springer , New York 2013.
Meta Net: A New Meta-Classifier Family, M. Buscema, W. J. Tastle, S. Terzi, in Data Mining
Applications Using Artificial Adaptive Systems, Chap 5 171-181, Tastle W.J (Ed), Springer,
New York 2013.
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Optimal Informational Sorting: The ACS-ULA Approach, M. Buscema, P.L. Sacco, in Data
Mining Applications Using Artificial Adaptive Systems, Ch.6 pp 189-209, Tastle W.J (Ed),
Springer , New York 2013.
GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning, M. Buscema,
P.L. Sacco, in Data Mining Applications Using Artificial Adaptive Systems, Ch.7, pp 211-229,
Tastle W.J (Ed), Springer , New York 2013.
Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and
Space Extrapolation, M. Buscema, P.L. Sacco, E. Grossi, L. A. Lodwick, in Data Mining
Applications Using Artificial Adaptive Systems, Chap 8, pp 211-229, Tastle W.J (Ed), Springer,
New York 2013.
Similarity Coefficients for Binary Chemoinformatics Data: Overview and Extended
Comparison Using Simulated and Real Data Sets, R. Todeschini, V. Consonni, H. Xiang, J.
Holliday, M. Buscema, P. Willet, in Journal of Chemical Information and Modeling, n°52, pp
2884-2901, ACS Publications, USA October 19, 2012.
Fathoming Failure, M. Buscema, in Substance Use & Misuse, 47:1473-1474, Informa
Healtcare, November 2012.
The Non-Linear Relationship between Scientific Production and National States’ Journals, G.
Ferilli, M. Buscema, P.L. Sacco, in Advances in Computer Science and Engineering, Vol. 9
N°1, pp.47-65, Pushpa Publishing House, September 2012.
A Novel Mathematical Approach to Define the Genes/SNPs Conferring Risk or Protection in
Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and
Graph Theory, M. Buscema, S. Penco, E. Grossi, in Neurology Research International,
Volume 2012, Hindawi Publishing Corporation, August 2012.
The concept of individual semantic maps in clinical psychology: a feasibility study on a new
paradigm, E. Grossi, A. Compare, M. Buscema, in Quality & Quantity, Springer Publisher,
August 04th 2012.
A Short version of SIS( Support Intensity Scale): The Utility of the Application of Artificial
Adaptive Systems, T. Gomiero, L. Croce, E. Grossi, L. De Vreese, M. Buscema, U.
Mantesso, E. De Bastiani, in Us-China Education Review A2, pp 196-207, David Publishing,
2011.
The Interaction between Culture, Health and Psychological Wellbeing, E. Grossi, G. Tavano
Blessi, P.L. Sacco, M. Buscema, Journal of Happiness Studies, Springer Science+ Business
Media BV, pp. 1-20, 2011.
Artificial Neural networks accurately predict mortality in patients with nonvariceal upper GI
bleeding G. Rotondano, L. Cipolletta, E. Grossi, M. Koch, M. Intraligi, M. Buscema, R.
Marmo, Gastrointestinal Endoscopy Volume 73, No. 2 , 2011.
Multi factorial interactions in the pathogenesis pathway of Alzheimer’s disease: a new risk
charts for prevention of dementia, F. Licastro, E. Porcellini, P. Forti, M. Buscema, I.
Carbone, G. Ravaglia, E. Grossi, in Immunity & Ageing 7(Suppl 1):S4, 2010
How to predict a high rate of inappropriateness for upper endoscopy in an endoscopic
centre?, L. Buri, G. Bersani, C. Hassan, M. Anti, MA. Bianco, L. Cipolletta, E. Di Giulio ,G. Di
Matteo, L. Familiari, L. Ficano, P. Loriga, S. Morini, V. Pietropaolo, A. Zambelli, E. Grossi, M.
Intraligi, F. Tessari, M. Buscema, the SIED Appropriateness Working Group, in Digestive
and Liver Disease 42(9):624-8, September 2010 E-pub 21 March 2010.
Artificial Neural Networks Identify the Predictive Values of Risk Factors on the Conversion of
Amnestic Mild Cognitive Impairment, M. Tabaton, P. Odetti, S. Cammarata, R. Borghi, F.
Monacelli, C. Caltagirone, P. Bossù, M. Buscema, E. Grossi, in Journal of Alzheimer’s
Desease 19, (2010) 1035-1040.
The I.F.A.S.T. Model Allows the Prediction of Conversion to Alzheimer Disease in Patients
with Mild Cognitive Impairment with High Degree of Accuracy, M Buscema, E. Grossi, M.
Capriotti, C. Babiloni, P. Rossini, in Current Alzheimer Research, Vol.7, 2010, pp 173-187.
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Multivariable Network Associated with Cognitive Decline and Dementia, F. Licastro, E.
Porcellini, M. Chiappelli, P. Forti, M Buscema, G. Ravaglia, E. Grossi, inNeurobiology on
Aging 31, (2010), Elsevier, pp 257-269.
Appropriateness Guidelines and Predictive Rules to Select Patients for Upper Endoscopy: A
Nationwide Multicenter Study, L. Buri, C. Hassan, G. Bersani, M. Anti, M. A. Bianco, L.
Cipolletta, E. Di Giulio, G. Di Matteo, L. Familiari, L. Ficano, P. Loriga, S. Morini, V.
Pietropaolo, A. Zambelli, E. Grossi, M. Intraligi, Statitiscian, M. Buscema e the SIED
Appropriateness Working Group, in The American Journal of Gastroenterology, Nature
Publishing Group, 22 December 2009, pp 1-11.
The General Philosophy of Artificial Adaptive Systems, M. Buscema, in Artificial Adaptive
Systems in Medicine, Ch.1 pp.1-4, Bentham Science Publishers E-Book 2009
IFAST: Implicit Function as Squashing Time for EEG Analysis - Application, P.M. Rossini, M
Buscema, in Artificial Adaptive Systems in Medicine, Ch.11, pp.104-113, Bentham Science
Publishers E-Book 2009
IFAST: Implicit Function as Squashing Time for EEG Analysis - Theory, M Buscema, P. M.
Rossini, E. Grossi, C. Babiloni, in Artificial Adaptive Systems in Medicine, Ch.10 pp.90-103,
Bentham Science Publishers E-Book 2009.
The Topological Weighted Centroid and the Semantic of the Physical Space – Application, M
Buscema, E. Grossi, T. Jefferson, Ch.9 pp.79-89, in Artificial Adaptive Systems in Medicine
The Topological Weighted Centroid, and the Semantic of the Physical Space – Theory, M
Buscema, M. Breda, L. Catzola, in Artificial Adaptive Systems in Medicine, Ch.8 pp.69-78,
J-Net System: A New Paradigm for Artificial Neural Networks Applied to Diagnostic Imaging
– Application, E. Grossi, M. Buscema, in Artificial Adaptive Systems in Medicine, Ch.7
pp.60-68, Bentham Science Publishers E-Book 2009.
J-Net System: A New Paradigm for Artificial Neural Networks Applied to Diagnostic Imaging
– Theory, M. Buscema, in Artificial Adaptive Systems in Medicine, Ch.6 pp.48-59, Bentham
Science Publishers E-Book 2009.
Auto Contractive Maps, H Function and Maximally Regular Graph –Application, C. Helgason,
M. Buscema, E. Grossi, in Artificial Adaptive Systems in Medicine, Ch. 5pp. 42-47, Bentham
Auto-Contractive Maps, H Function and Maximally Regular Graph –Theory, M Buscema, in
Artificial Adaptive Systems in Medicine, Ch.4 pp. 25-41, Bentham Science Publishers E-Book
2009.
A Brief Introduction to Evolutionary Algorithms and the Genetic Doping Algorithm, M
Buscema, M. Capriotti, in Artificial Adaptive Systems in Medicine, Ch.3 pp.12-24, Bentham
A Brief Introduction to Artificial Neural Networks, M Buscema, in Artificial Adaptive Systems
in Medicine, Ch.2 pp.5-11, Bentham Science Publishers E-Book 2009.
Outbreaks source: A new mathematical approach to identify their possible location, M.
Buscema, E. Grossi, M. Breda, T. Jefferson, Physica A, 388 (2009), Elsevier, pp 4736-4762.
Images as Active Connection Matrixes: the J-Net System, M Buscema, L. Catzola, E. Grossi in
ICMED Journal, Vol. 2 n° 1/2008, pp.27 -53.
The Semantic Connectivity Map: an adapting self-organising knowledge discovery method in
data bases. Experience in gastro-oesophageal reflux disease, M. Buscema, E. Grossi in
International J. Data Mining and Bioinformatics, Inderscience Publishers, Vol. 2, n. 4, 2008,
pp. 362-404.
Auto-Contractive Maps: An Artificial Adaptive System for Data Mining. An Application to
Alzheimer Disease, M. Buscema, E. Grossi, D. Snowdon, P. Antuono, Current Alzheimer
Research, Bentham Science Publishers, Vol. 5 n.5-October 2008, pp. 481-498.
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La complessità strutturale dei distretti industriali: un approccio basato sulle similarità multidimensionali, V. Carlei, M. Nuccio, P. Sacco, M Buscema, Scienze Regionali – Italian Journal
of Regional Science, Vol. 7, n. 2/2008, pp. 55-86.
Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal
Upper GI Bleeding (UGIB), E. Grossi, R. Marmo, M. Intraligi, M. Buscema, Medical
Informatics Insights 2008: I 1-13.
Neuropathological findings processed by artificial neural networks (ANNs) can perfectly
distinguish Alzheimer's patients from controls in the Nun Study, E. Grossi, M. Buscema, D.
Snowdon e P. Antuono, BMC Neurology 2007, BioMed Central, pp. 7-15.
Is it possible to automatically distinguish resting EEG data of normal elderly vs. mild cognitive
impairment subjects with high degree of accuracy?, P. M. Rossini, M. Buscema, M. Capriotti,
E. Grossi, G. Rodriguez, C. Del Percio, C. Babiloni, Clinical Neurophysiology Vol. 119 n.72008, pp. 1534-1545.
New application of intelligent agents in sporadic Amyotrophic Lateral Sclerosis identifies
unexpected specific genetic background, S. Penco, M. Buscema, M.C. Patrosso, A. Marocchi,
E. Grossi, in BMC Bioinformatics 2008, 9:254.
Artificial neural networks in the recognition of presence of thyroid disease in patients with
atrophic body gastrics,, E. Lahner, M. Buscema, M. Intraligi, M. Centanni, L. Vannella, E.
Grossi, B. Annibale, in World Journal of Gastroenterology, 2008 January 28; 14(4):563-568.
Immaginazione scientifica, rigore e ragionevolezza, M. Buscema, G. Maurelli, nel volume “La
ragionevolezza nella ricerca scientifica ed il suo ruolo specifico nel sapere giuridico” Tomo I.
Nova Juris Interpretatio, Atti del Convegno di Studi, Rome, 2-4 October 2007.
The Implicit Function as Squashing Time Model: A Novel Parallel Nonlinear EEG Analysis
Technique Distinguishing Mild Cognitive Impairment and Alzheimer’s Desease Subjects with
High Degree of Accuracy, M. Buscema, M. Capriotti, F. Bergami, C. Babiloni, P. Rossini, E.
Grossi. Computational Intelligence and Neuroscience. Vol. 2007.
Artificial neural networks can classify uninvestigated patients with dispepsia, con A. Andriulli,
E. Grossi, M. Buscema, A. Pilotto, V. Festa, F. Perri. European Journal of Gastroenterology
& Hepatology 2007, pp. 1055-1058.
Introduction to artificial neural networks, E. Grossi, M. Buscema, European Journal of
Gastroenterology & Hepatology 2007, pp. 1046-1054.
Images as Active Connection Matrixes: the J-Net System, L. Catzola, E. Grossi. International
Journal of Intelligent Computing in Medical Sciences and Image Processing (IC-MED), Vol. I
n.3 - 2007, pp. 187-213
Neuropathological findings processed by artificial neural networks (ANNs) can perfectly
distinguish Alzheimer's patients from controls in the Nun Study, con E. Grossi, D. Snowdon e
P. Antuono, BMC Neurology 2007, BioMed Central, pp. 7-15.
The added value of “Artificial Organisms” in the analysis of medical data: six years of
experience, E. Grossi, A. Mancini, M. Buscema , “NAFIPS 2007 Annual Meeting of the
North American Fuzzy Information Processing Society”, sponsored by Institute of Electrical
and Electronics Engineers (IEEE), pp. 502-507.
The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild
cognitive impairment and Alzheimer’s disease patients with high degree of accuracy, M.
Buscema, P.M. Rossini, C. Babiloni, E. Grossi, Artificial Intelligence in Medicine 40, pp. 127141, Elsevier 2007.
International experience on the use of artificial neural networks in gastroenterology, con E.
Grossi, A. Mancini, M. Buscema, in Digestive and Liver Disease 39 pp. 278–285, Elsevier
2007.
The Smart Library Architecture of an Orientation Portal, M. Buscema, S. Terzi, G. Maurelli,
M. Capriotti, V. Carlei, in Quality & Quantity, n. 40, pp. 911-933, Springer 2006.
GenD An Evolutionary System for Resampling in Survey Research, C. Meraviglia, G. Massini,
D. Croce, M. Buscema, in Quality & Quantity, n. 40, pp. 825-859, Springer 2006.
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Artificial Intelligence and Outcome Research, E. Grossi, M. Buscema, in Drug Development
Research, n. 67, pp. 227-244, 2006.
PST: An Evolutionary Approach to the Problem of Multi Dimensional Scaling, M. Buscema,
S. Terzi, in WSEAS Transactions on Information Science & Applications, Issue 9, vol. 3,
September 2006 pp. 1704-1710.
Using Sinusoidal Modulated Weights Improve Feed-Forward Neural Network Performances
in Classification and Functional Approximation Problems, M. Buscema , S. Terzi, M. Breda,
in WSEAS Transactions on Information Science & Applications, Issue 5, vol. 3, May 2006 pp.
885-893.
The Travelling Salesman Problem as a new screening test in early Alzheimer’s disease: an
exploratory study. Visual Problem-solving in AD, L. P. De Vreese, S. Pradelli, G. Massini, M.
Buscema, R. Savarè, E. Grossi, in Aging Clinical and Experimental Research, vol. 17, n. 6, pp.
458-464; 2005.
Progetto Esonet – Applicazione delle Reti Neurali Artificiali nella diagnosi della MRGE, G.
Caspani, M. Intraligi, G. Massini, M. Buscema, M. Capriotti, V. Carlei, G. Maurelli, A.
Mancini, in SAAB Sistemi Artificiali Adattivi in Biomedicina n. 2, vol. II, 2005, pp. 118-157, Di
Renzo Editore, Rome.
Reti Neurali Artificiali e Screening nella MRGE, P. Dominici, E. Grossi, M. Buscema, M.
Intraligi, in SAAB Sistemi Artificiali Adattivi in Biomedicina n. 2, vol. II, 2005, pp. 104-117, Di
Renzo Editore, Rome.
Un protocollo sperimentale di ottimizzazione basato su algoritmi neuro-evolutivi per la
classificazione dei pazienti con dispepsia e la previsione dell’efficacia del trattamento, E.
Grossi, M. Intraligi, N. Garbagna, A. Andriulli, M. Breda, in SAAB Sistemi Artificiali Adattivi
in Biomedicina n. 2, vol. II, 2005, pp. 42-103, Di Renzo Editore, Rome.
Identificazione delle variabili correlate al diabete mellito nella pancreatite cronica attraverso
l’applicazione delle Reti Neurali Artificiali, E. Gaia, N. Pagano, M. Intraligi, M Buscema, A.
Mancini, P. Salacone, C. Arduino, E. Grossi, in SAAB Sistemi Artificiali Adattivi in
Biomedicina n. 2, vol. II, 2005, pp. 10-40, Di Renzo Editore, Rome.
Innovazione scientifica, M Buscema, L. Marcellini Hercolani Gaddi, G. Maurelli, contributo
inserito nel “Dizionario della sicurezza stradale”, a cura di G. Guccione, Fondazione Luigi
Guccione Editrice, Cosenza, pp. 95-97, 2005.
Possible Contribution of advanced statistical methods (artificial neural networks and linear
discriminant analysis) in recognition of patients with suspected atrophic body gastritis, E.
Lahner, E. Grossi, M Buscema , M. Intraligi, V. D. Corleto, G. Delle Fave, B. Annibale in
World Journal of Gastroenterology, 2005, 11(37), pp. 5867-5873.
Artificial neural networks allow the use of simultaneous measurements of Alzheimer Disease
markers for early detection of the desease, M. De Luca, E. Grossi, B. Borroni, M.
Zimmermann, E. Marcello, F. Colciaghi, F. Gardoni, M. Intraligi, A. Padovani, M. Buscema
in Journal of Translational Medicine, 2005, pp. 1-7.
Two Different Alzheimer Deseases in Men and Women: Clues From Advanced Neural
Networks and Artificial Intelligence, E. Grossi, G. Massini, M. Buscema, R. Savarè, G.
Maurelli, Gender Medicine (2005) Vol. 2 n.5, pp106-117
Assessment of the Role of Genetic Polymorphism in Venous Thrombosis Through Artificial
Neural Networks, S. Penco, E. Grossi, S. Cheng, M. Intraligi, G. Maurelli, M.C. Patrosso, A.
Marocchi e M. Buscema, Annals of Human Genetics (2005), 69, pp. 693-706.
An Optimized Experimental Protocol Based on Neuro-Evolutionary Algorithms. Application
to the Classification of Dyspeptic Patients and to the Prediction of the Effectiveness of Their
Treatment, M. Buscema, E. Grossi, M. Intraligi, N. Garbagna, A. Andriulli, M. Breda, in
Artificial Intelligence in Medicine (AIIM), 2005, 34, pp: 279-305.
PST: un approccio evolutivo al problema delle riduzioni delle dimensioni, M. Buscema,
SAAB Sistemi Artificiali Adattivi in Biomedicina n. 3, vol. I, pp. 154-177, May 2005.
Genetic Doping Algorithm (GenD). Teoria e applicazione, M. Buscema, SAAB Sistemi
Artificiali Adattivi in Biomedicina n. 3, vol. I, pp. 116-153, May 2005.
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Mapping non lineare di descrittori dell’Alzheimer attraverso un nuovo algoritmo “evolutivo”:
uno studio pilota, Diagnosi precoce di Alzheimer (AD) attraverso l’elaborazione con Reti
Neurali Artificiali, M. Gallucci, A. Mancini, E. Grossi, F. Di Paola, S. Curtolo, M. Buscema,
M. Ronzon, SAAB Sistemi Artificiali Adattivi in Biomedicina n. 3, vol. I, pp. 104-115, May
2005.
Diagnosi precoce di Alzheimer (AD) attraverso l’elaborazione con Reti Neurali Artificiali
(RNA) dei marcatori piastrinici della cascata beta-amiloide, E. Grossi, M. Buscema, F.
Colciaghi, M. Zimmermann, A. Padovani, B. Borroni , G. Di Luca, G. Maurelli, M. Intraligi M.
SAAB Sistemi Artificiali Adattivi in Biomedicina n. 3, vol. I, pp. 88-102, May 2005.
Le reti neurali e gli organismi artificiali sono in grado di prevedere lo sviluppo della patologia
sulla base dello stato cognitivo e funzionale del paziente? M Buscema i, SAAB Sistemi
Artificiali Adattivi in Biomedicina, Di Renzo Editore, n. 3, vol. I, pp. 14-87, May 2005.
Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely
on the basis of clinical data, F Pace, M Buscema, P Dominici, M Intraligi, F Baldi, R Cestari, S
Passaretti, G Bianchi Porro, E Grossi , European Journal of Gastroenterology & Hepatology,
2005, 17, pp. 605-610.
Introduzione alla filosofia dei Sistemi Artificiali Adattivi e loro applicazioni, Buscema M., M.
Intraligi , G. Maurelli, in SAAB Sistemi Artificiali Adattivi in Biomedicina, Di Renzo Editore,
n. 1, vol. 1, pp. 104-163, January 2005.
Dolore addominale e alterazione dell’ alvo: è possibile semplificare l’iter diagnostico attraverso
l’uso di sistemi di Intelligenza Artificiale, E. Grossi, M. Astegiano, B. Demarchi, F. Bresso, N.
Sapone, A. Mancini, M. Intraligi, P. Dominici, M. Buscema, SAAB Sistemi Artificiali Adattivi
in Biomedicina, Di Renzo Editore, n. 1, vol. 1, pp. 66-102, January 2005.
Utilizzo delle reti neurali nella MRGE per discriminare i pazienti reflussori dai non reflussori
solo sulla base dei dati clinici, F. Pace, M. Buscema, P. Dominici, M. Intraligi, F. Baldi, R.
Cestari, S. Passaretti, G. Bianchi Porro, E. Grossi, SAAB Sistemi Artificiali Adattivi in
Biomedicina, Di Renzo Editore, n. 1, vol. 1, pp. 38-65, January 2005.
Gastrite cronica atrofica: diagnosi con le reti neurali artificiali, M. Buscema, E. Grossi, SAAB
Sistemi Artificiali Adattivi in Biomedicina, Di Renzo Editore, n. 1, vol. 1, pp. 12-36, January
2005.
CADMRM – A prototype software for automatic Computer Aided Detection and
Classification of Lesion in Contrast-Enhanced MR-Mammography, T. Vomweg, D. Mayer, H.
Faber, M. Buscema, E. Grossi, M. Mattiuzzi, pubblicazione interna Workshop Istituto
Superiore di Sanità, 13.12.2004.
The potential role played by Artificial Adaptive Systems in enhancing our under standing of
Alzheimer Disease, E. Grossi, M. Buscema, Neuroscience Research Communications, 2004,
vol. 35, n. 3, pp: 246-268.
Artificial Neural Networks for the Prediction of Diabetes Mellitus Occurrence in Patients
Affected by Chronic Pancreatitis, E. Lahner, M. Intraligi, M. Buscema, M. Centanni, L.
Vannella, E. Grossi, and B. Annibale, Journal of the Pancreas online, 2004, vol. 5, n. 5
supplement, p: 422. 2004
Artificial Neural Networks and Artificial Organisms can predict Alzheimer pathology in
individual patients only on the basis of cognitive and functional status, Buscema M, Grossi E,
Snowdon D, Antuono P, Intraligi M, Maurelli G, Savarè R, Neuroinformatics, Humana Press,
2004, vol. 2 n. 4, pp: 399-416.
Recognition of patients with cardiovascular disease by Artificial Neural Networks, D.
Baldassarre, E. Gross, M. Buscema, M Intraligi, M Amato, E. Tremoli, L.Pustina, S
Castelnuovo, S. Sanvito, L. Gerosa, CR Sirtori, in Annals of Medicine,; 36: pp. 630-640.2004
Genetic Doping Algorithm (GenD). Theory and Applications, M. Buscema, in Expert
Systems, May 2004, Vol. 21, No. 2, pp. 63-79.
Improved Understanding of Urban Sprawl Using Neural Networks, L. Diappi, P. Bolchim, M.
Buscema, nel volume “Recent Advances in Design and Decision Support Systems in
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Architecture and Urban Planning” a cura di J.P. Van Leeuwen & H.J.P. Timmermans, Kluwer
Academic Publishers, Dordrecht, The Netherlands, 2004.
Complexity in Sustainability: an Investigation of the Italian Urban System through SelfReflexive Neural Networks, M. Buscema, M Breda, S Terzi, nel volume “Evolving cities” a
cura di L. Diappi, Ashgate Publishing, England, 2004.
Seminars on Artificial Intelligence in Medicine, M. Buscema, Enzo Grossi, in Bracco –
Semeion Collection, Vol. 1, December 2003.
Filosofia dei Sistemi Artificiali Adattivi, M. Buscema, M. Intraligi in Dedalo, Vol. 1 n. 2
December 2003.
Improved Artificial Neural Networks in Dignity Prediction of Enhancing Lesions in ContrastEnhanced MR-Mammography con T.W.Vomweg, M. Buscema, H.U. Kauczor, A. Teifke, M.
Intraligi, S. Terzi, C.P. Heussel, T. Achenbach, M. Thelen, in Medical Physics, 30 September
2003.
Using Artificial Neural Networks for effective Police Deviance and Corruption Intervention
Planning, Implementation and Assessment, in “Police Corruption: Paradigms, Models and
Concepts Challenges for Developing Countries”, S. Einstein, M. Amir (eds), M. Buscema,
Office of International Criminal Justice (OICJ) 2003, Sam Houston State University, USA, pp.
253-304.
The contribution of artificial neural networks to the classification and treatment of patients
with uninvestigated dyspepsia con A. Andriulli, E. Grossi, M. Buscema, V. Festa, N.
Garba¬gna, M. Intraligi, P. Dominici, R. Cerutti, F. Perri, on behalf of the “N.U.D. look”
Study Group, in Digestive and Liver Disease, volume 35, n. 4. April 2003 pp. 222- 231.
Use of Artificial Networks in Clinical Trials: A Pilot Study to Predict Responsiveness to
Donepezil in Alzheimer’s Disease, con P. Mecocci, E. Grossi, M. Buscema, M. Intraligi, R.
Savarè, P. Rinaldi, A. Cherubini e U. Senin, in JAGS (Journal of American Geriatric Society),
vol. 50, n. 11, November 2002, pp.1857-18620.
Arti e scienze dell’artificiale, M. Buscema, in DNArt – I Biennale Merano arte, JuneSeptember 2002, De Agostini Rizzoli ar¬te&cultura, pp. 32-37.
A brief Overview and Introduction to Artificial Neural Networks, M. Buscema, in Substance
Use & Misuse, Special Issue on The Middle Eastern Summer Institute on Drug Use –
Proceedings: 1997/1999, Vol. 37 (8-10), June-August 2002, Marcel Dekker, Inc., New York,
2002, pp.1093-1148.
Palestinesi e israeliani fatevi martiri della pace, M. Buscema, in Avvenire, 25 April 2002.
Conclusioni sul processo di validazione, M. Buscema, in M. Buscema & Semeion Research
Group, Reti Neurali Artificiali per l’orientamento professionale, Franco Angeli, Milano, 2002,
pp. 279–282.
Le Competenze Specifiche, in M. Buscema & Semeion Research Group, Reti Neurali
Artificiali per l’orientamento professionale, Franco Angeli, Milano, 2002, pp. 261–278.
Dalle Competenze Generiche alle Macro Professioni, M. Buscema, in M. Buscema &
Semeion Research Group, Reti Neurali Artificiali per l’orientamento professionale, Franco
Angeli, Milano, 2002, pp. 243–259.
Dal Questionario Tattico alle Competenze Generiche, M. Buscema, in M. Buscema &
Semeion Research Group, Reti Neurali Artificiali per l’orientamento professionale, Franco
Angeli, Milano, 2002, pp. 189–196.
Il metodo: le Reti Neurali Artificiali (introduzione, struttura e dinamica, modelli), M.
Buscema, in M. Buscema & Semeion Research Group, Reti Neurali Artificiali per
l’orientamento professionale, Franco Angeli, Milano, 2002, pp. 133–186.
La stima delle funzioni, M. Buscema, in M. Buscema & Semeion Research Group, Reti
Neurali Artificiali per l’orientamento professionale, Franco Angeli, Milano, 2002, pp. 53–72.
Competenze e lavoro, M. Buscema, in M. Buscema & Semeion Research Group, Reti Neurali
Artificiali per l’orientamento professionale, Franco Angeli, Milano, 2002, pp. 39–52.
Le Competenze Elementari, M. Buscema, in M. Buscema & Semeion Research Group, Reti
Neurali Artificiali per l’orientamento professionale, Franco Angeli, Milano, 2002, pp. 21–38.
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Lavoro e personalità: un problema di ottimizzazione, M. Buscema, in M. Buscema & Semeion
Research Group, Reti Neurali Artificiali per l’orientamento professionale, Franco Angeli,
Milano, 2002, pp. 17–19.
Artificial neural network assessment of substitutive pharmacological treatments in hospitalised
intravenous drug users, con M. C. Grassi, A. M. Caricati, M. Intraligi, M. Buscema e P.
Nencini, in Artificial Intelligence in Medicine, Vol. 24, 2002, Elsevier, Pp. 37-49.
Utilizzo delle reti neurali artificiali nei trial clinici: studio pilota per valutare la responsività al
donepezil in pazienti con malattia di Alzheimer utilizzando un sistema di reti neurali, con P.
Mecocci, E.Grossi, M. Buscema, M. Intraligi, V. Serafini, R. Savarè, P. Rinaldi, A. Cherubini e
U. Senin, Neurological Science, 2001, Springer Verlag, pp. 49-53.
Toward an integrative approach in the analysis of dependency problems, con S. Larsson, J.
Lilja, S. Borg, M. Buscema e D. Hamilton, in Substance Use & Misuse, Vol. 36 (9&10), JulyAugust 2001, Marcel Dekker, Inc., New York, 2001, pp. 1323-1356.
Ecologie della socialità e dell’identità: la complessità comportamentale in un’economia post–
industriale, M. Buscema, P.Luigi Sacco, in Kéiron, Vol. 7, June 2001, Edizione Farmindustria,
Rome. Pp. 116–127.
Reti neurali artificiali nelle tossicodipendenze, M. Buscema, in Personalità/Dipendenze, Vol.
7(1), April 2001, Erit–Italia e SDP, Mucchi Editore, Modena. Pp. 17–22.
Feedforward networks in financial predictions: the future that modifies the present, M.
Buscema P.Luigi Sacco, in Expert Systems, Vol.17(3), August 2000, Blackwell, Oxford UK.
Pp.149-170.
Redes neuronales y problemas sociales, M. Buscema, in Addiciones, Vol. 12(1), 2000,
Socidrogalcohol, Palma de Mallorca, Spagna, pp.99-126.
Artificial Neural Networks e loro applicazioni in medicina delle Tossicodipendenze, M.
Buscema in Annali dell’Istituto Superiore di Sanità Vol 36 n 1, 2000, pp. 77-85, Rome.
La costruzione adattiva dell’obiettività nelle Scienze Sociali: le Reti Neurali come strumento di
inferenze diagnostica, M. Buscema in Keiron, Farmindustria, n 3 April 2000, pp.122-139,
Rome.
Redes neuronales artificiales y toxicodependencias, in Addiciones, Vol. 11(4), 1999,
Socidrogalcohol, Palma de Mallorca, Spagna, pp. 295–297.
La struttura complessa delle città, Reti Neurali per un sistema cognitivo, con L. Diappi, in M
Buscema & Semeion Group, Reti Neurali Artificiali e Sistemi Sociali Complessi, Vol. II,
Franco Angeli, Milano, 1999, pp. 228–260.
Neoplasie: differenziazione tra benigne e maligne, con A. M. Caricati, in M Buscema &
Semeion Group, Reti Neurali Artificiali e Sistemi Sociali Complessi, Vol. II, Franco Angeli,
Milano, 1999, pp. 157–169.
Reti Neurali Artificiali per il riconoscimento della vulnerabilità da eroina e simulazione di
scenari dinamici, M.Buscema, M. Intraligi, in M. M Buscema & Semeion Group, Reti
Neurali Artificiali e Sistemi Sociali Complessi, Vol. II, Franco Angeli, Milano, 1999, pp.40–95.
Genetic Doping Algorithm, in M. M Buscema & Semeion Group, Reti Neurali Artificiali e
Sistemi Sociali Complessi, Vol. I, Franco Angeli, Milano, 1999, pp. 465–486.
Reti Neurali Ricorrenti, con M. Breda, in M. M Buscema & Semeion Group, Reti Neurali
Artificiali e Sistemi Sociali Complessi, Vol. I, Franco Angeli, Milano, 1999, pp. 440–464.
Reti Neurali Autoriflessive, con M. Breda e S. Terzi, in M. M Buscema & Semeion Group,
Reti Neurali Artificiali e Sistemi Sociali Complessi, Vol. I, Franco Angeli, Milano, 1999, pp.
343–393.
Vita e Salute, in P. Borsellino (a cura di), Prevenzione e Territorio. Le Tossicodipendenze,
Armando Editore, Roma, 1998, pp. 9-23.
The Risk Evaluation in Urban Sustainability: A threshold Methodology and a Neural Network
Investigation, (con L. Diappi et al.), 38th Congress of the European Regional Science
Association, Vienna, 28 Agosto-01 Settembre, 1998.
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A Neural Network Investigation of the Crucial Facets of Urban Sustainability, con L. Diappi,
M. Ottanà, in Substance Use & Misuse, Vol. 33, n. 3 (Applications), Marcel Dekker, Inc., New
York, 1998, pp. 793-817.
Application of Artificial Neural Networks to Eating Disorders, con M. Mazzetti di Pietralata,
V. Salvemini, M. Intraligi, M. Indrimi, in Substance Use & Misuse, Vol. 33, n. 3 (Applications),
Marcel Dekker, Inc., New York, 1998, pp. 765-791.
Artificial Neural Networks for Drug Vulnerability Recognition and Dynamic Scenarios
Simulation, con M. Intraligi, Renato Bricolo, in Substance Use & Misuse, Vol. 33, n. 3
(Applications), Marcel Dekker, Inc., New York, 1998, pp. 587-623.
Self-Recurrent Neural Network, in Substance Use & Misuse, Vol. 33, n. 2 (Models), Marcel
Dekker, Inc., New York, 1998, pp. 495-501.
MetaNet: The Theory of Independent Judges, in Substance Use & Misuse, Vol. 33, n. 2
(Models), Marcel Dekker, Inc., New York, 1998, pp. 439-461.
Self-Reflexive Networks, M. Buscema, in Substance Use & Misuse, Vol. 33, n. 2 (Models),
Marcel Dekker, Inc., New York, 1998, pp. 409-438.
Constraint Satisfaction Neural Networks, M. Buscema, in Substance Use & Misuse, Vol. 33,
n. 2 (Models), Marcel Dekker, Inc., New York, 1998, pp. 389-408.
Recirculation Neural Networks, M. Buscema, in Substance Use & Misuse, Vol. 33, n. 2
Back Propagation Neural Networks, M. Buscema, in Substance Use & Misuse, Vol. 33, n. 2
Theory: Foundations of Artificial Neural Networks, M. Buscema, in Substance Use & Misuse,
Vol. 33, n. 1 (Theory) , Marcel Dekker Inc., New York, 1998, pp. 17-164.
Introduction: Health and Life, M. Buscema, in Substance Use & Misuse, Vol. 33, n. 1
(Theory), Marcel Dekker Inc., New York, 1998, pp. 1-16.
The Sonda Project: Prevention, Prediction and Psychological Disorder, in Substance Use &
Misuse, Vol. 32, n. 9, Marcel Dekker, Inc., New York, 1997, pp. 1047-1147.
A General Presentation of Artificial Neural Networks, in Substance Use & Misuse, Vol. 32 n.
1, Marcel Dekker, Inc., New York, 1997, pp. 97-112.
Measurement of the difficulty communicating in the family with an alcoholic subject, using
artificial neural networks simulation, con M.P. Bisagni, C. Di Gennaro, C. Giuffredi, G.
Rastelli, M. Rastelli, P.P. Vescovi, in Alcologia n. 8(1), Giornale Europeo di Studi sull’Alcool,
Editrice Compositori Bologna, 1996, pp. 21-28.
Self-Reflexive Networks. Theory, Topology, Applications, in Quality & Quantity, Kluver
Academic Publishers, The Netherlands, Vol. 29 n. 4, November 1995, pp. 339-403.
Squashing Theory: a Prediction Approach for Drug Behavior, in Drug & Society, The
Haworth Press, Inc., PA, 1995 Vol. 8 n. 3/4, pp. 103-109; also in Prevention Practice in
Substance Abuse, C. G. Leukefeld and R.R. Clayton, The Haworth Press, Inc., PA, 1995, pp.
103-109.
The Neural Vision of a Competitive City: an Exploration on the Urban Winning Assest in the
European Context, con L. Diappi, M. Ottanà, S. Stabilini, presentato a Spa in Belgio al “Sixth
Colloquium of the European Association of Qualitative and Theoretical Geographic”. SPA
(Belgio) Settembre 1995.
Le Reti AutoRiflessive. Teoria, Topologia e Usi (pp. 9-74) e Constraint Satisfaction Networks”
(pp.93-126) in “Le Reti AutoRiflessive. Teoria, Topologia e Usi” e “Constraint Satisfaction
Networks” in “Reti Neurali AutoRiflessive. Teoria, Metodi, Applicazioni e Confronti”, (con G.
Didoné e M. Pandin), Quaderni di Ricerca n.1, Armando Edi-tore, Roma, 1994.
Ecologia umana: dalla Biodiversità alla Psicodiversità, in M. Ingrosso (a cura di) “La Salute
come Costruzione Sociale”, Franco Angeli, Milano 1994.
Una Teoria del Procedimiento de Prevención, in “Tratado Sobre Prevenciòn de las
Drogodependencias”, FAD, Gobierno Vasco, EDEX Kolektiboa, ESPANA, 1993.
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Squashing Theory - Sintesi, in Atti del Convegno “Educazione alla Salute. I Fatti, le Verifiche”,
organizzato dalla Regione Lombardia, Assessorato Coordinamento Servizi So¬ciali e dalla
USSL 78 Vigevano Lomellina. Vigevano (PV), 12 Novembre 1992.
Ecologia umana: dalla Biodiversità alla Psicodiversità, in Bollettino Sonda, anno II, n. 1/2,
1992, presentato all’International Symposium Beyond Dualism: “Health as a social
construction Theories, Practicies, Policies”, organizzato dall’Università di Parma e dal Consiglio d’Europa, Salsomaggiore Terme (Parma), 1992.
Gesturing Test: a model of qualitative ergonomics, (con Giulia Massini), in 2nd International
Conference “Vehicle Comfort Ergonomic, Vibrational, Noise and Thermal Aspects”, T.P.
Vol.1, pp.99-109, Un. of Southampton, ATA, Un. di Bologna, Bologna 1992.
Prima che il Cervello esploda, in Avvenimenti, Gennaio 1991, pp. 62-65.
Un Sistema Informativo Distribuito sulle Tossicodipendenze. In “Sonda”, Bollettino di
Informazione e di Verifica del Progetto Sonda, n.1/2, Edizioni Semeion, Roma, Luglio 1991.
Effetti Boomerang, in Multi Media, n. 1, Gennaio 1991, pp. 44-49.
La fatica di esistere, in “Scelta di vita scelta di morte”, atti del Convegno Europeo sulla
prevenzione primaria dei comportamenti autodistruttivi dei giovani, organizzato dal
Dipartimento Politiche Giovanili della Regione Veneto e dall’I.R.E.F.R.E.A., svoltosi a
Venezia Lido il 3-4-5 e pubblicato come supplemento a Veneto Sicurezza Sociale n.1, gennaiofebbraio 1990.
Il Computer nell’apprendimento: Problemi e Metodologie, in Paradigma Didamatico ‘85, Atti
del Convegno, Centro di Calcolo dell’Università di Camerino, Camerino 1985.
L’immagine del Fenomeno Criminalità nei Mass-Media, M. Buscema, Regione Lazio, 1984.
Semiotica, Didattica e Audiovisivi, in F. Mariani (ed.), “Semiotica e Scuola”, Editori Riuniti,
Roma, 1984, pp. 15.
Effetti Boomerang: la Comunicazione Dissuasiva, M. Buscema, in Delfino, Marzo-Aprile
1984, pp.24-26.
La Comunicazione nel Film a Luci Rosse, M. Buscema, in M Buscema e P. Di Maria, “Il Film
a Luci Rosse”, Libero Scambio, Firenze, 1982.
Diritto all’Informazione e Informazione Diritta, M. Buscema ,in “Diritto all’Informazione e
Manipolazione Televisiva”, Trieste, Consult, 1982.
Linguaggi e Film: la pista semiotica, in A. Magli, Dispense di Storia del Teatro e dello
Spettacolo, vol. II°, Bulzoni, Roma, 1981.
Vedere, Far Vedere, Nascondere, in E. Bruno “Per Alfred Hitchcok”, editore del Grifo, 1981,
pp. 53-62.
Traiettorie Cognitive dell’Inquadratura, in Atti del Convegno su “Semiotica della
Rappresentazione” Palermo, Novembre, 1980.
Linguaggio Visuale: Cinema e Televisione(Curatore), Filmcritica, 307/309. SettembreNovembre, 1980.
Co-traduttore dal francese del Saggio inedito in Italia e in Francia di A.J.Greimas, Semiotique
figurative et Semiotique plastique, per il numero 307/309 della Rivista Filmcritica, SettembreNovembre, 1980.
L’enunciazione Visiva II in Filmcritica 307-309, Settembre-Novembre, 1980, pp. 272-288.
L’oggetto cinema nel discorso delle Riviste, in Vita Italiana, n. 16, 1980, pp. 39.
Il Linguaggio nella Pagina di Cultura nei Quotidiani, in Vita Italiana, n. 16, 1980, pp. 31.
L’enunciazione Visiva, in Filmcritica 300, Dicembre 1979, pp. 229-237.
Semiotica dello Spazio Narrativo, in Filmcritica 295, Maggio 1979, pp. 229-237.
Testo Filmico e Racconto, in Filmcritica 292, Febbraio 1979, pp. 64-76
7. Papers presented at Conferences and proceeding
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7.10.
7.11.
7.12.
7.13.
Conference ‘Kan algoritmer ge oss storre forsta else for kultur och regional utveckling?’ at
‘Jonsered Manor House’, Jonsered Herrgård e Skaraborg. Svezia. September, 29, 2015.
Papers presented ‘Artificial Adaptive Systems’ to 11th World Congress: "De Gustibus
Disputandum Non Est!" Health Economics and Nutrition: an iHEA World Congress
Università Bocconi, Milan, 13 July 2015.
Locating the source of public health events using intelligent adaptive systems: 2011 United
States listeriosis outbreak linked to whole cantaloupes, with AC Bronstein, A Esfahani, WA
Lodwick, E Grossi, in North American Congress of Clinical Toxicology(NACCT 2011),
September 21-26, 2011, Washington, DC.
Application of Adaptive Systems Methodology to Radiotherapy, with Francis Newman, Enzo
Grossi, William Tastle, at the North American Fuzzy Information Processing Society's 2010
Conference (NAFIPS 2010), sponsored by IEEE Systems, July 12th-14th,2010, Toronto,
Canada.
A Fuzzy TWC Approach to Intensive Data Mining: Unveiling the emergent world order, with
P.L. Sacco, at the North American Fuzzy Information Processing Society's 2010 Conference
(NAFIPS 2010), sponsored by IEEE Systems, July 12th-14th,2010, Toronto, Canada.
Activation and Competition System and Universe Lines Algorithm, with P. L. Sacco, at the
North American Fuzzy Information Processing Society's 2010 Conference (NAFIPS 2010),
sponsored by IEEE Systems, July 12th-14th,2010, Toronto, Canada.
Meta-Consensus: A New Meta-Classifier Based On Consensus Theory, with S. Terzi, William
Tastle, at the North American Fuzzy Information Processing Society's 2010 Conference
(NAFIPS 2010), sponsored by IEEE Systems, July 12th-14th,2010 Toronto, Canada.
Population: A New Method of Multi Dimensional Scaling, with G. Massini, S. Terzi, at the
North American Fuzzy Information Processing Society's 2010 Conference (NAFIPS 2010),
sponsored by IEEE Systems, July 12th-14th,2010, Toronto, Canada.
Artificial Adaptive Systems and Predictive Medicine: A Revolutionary Paradigm Shift, with E.
Grossi, at the North American Fuzzy Information Processing Society's 2010 Conference
(NAFIPS 2010), sponsored by IEEE Systems, July 12th-14th,2010 Toronto, Canada.
Assessing Post-Radiation Treatment involving Brain Volume Differences in Children: an
Application of Adaptive Systems Methodology, con F. Newman, G. Massini, E. Grossi, W.
Tastle, al North American Fuzzy Information Processing Society's 2010 Conference (NAFIPS
2010), sponsored by IEEE Systems, July 12th-14th, 2010 Toronto, Canada.
The contribute of powerful mathematics of artificial adaptive systems in the understanding of
complexity of human-microbe mutualism, with E. Grossi in 5th ”Probiotics & Prebiotics, New
Foods”, Urban University in Rome, September 13th -15th, 2009.
Central role of nutritional variables in a network of risck factor associated with cognitive e
decline in dementia, with F. Licastro, E. Porcellini, M. Chiappelli, P. Forti, G. Ravaglia, E.
Grossi, in 4th International Academy on Nutrition and Age Related Diseases: IAGG, July 5th,
2009. Paris.
The Transferal of Evidences Derived from Clinical Research to Single Patient Level:
Automatic Distinction of Normal Elderly vs. Mild Cognitive Impairment Subjects by Resting
EEG Data Processed by IFAST, a Novel Intelligent System with P. M. Rossini and E. Grossi
in “2008 Annual Meeting of the North American Fuzzy Information Processing Society
(NAFIPS 2008)”. New York, USA, May 20th -22th, 2008.
Powerful Computerized Spatial Epidemiology and Semantics Through the Use of Novel
Mathematical Objects: Can Artificial Intelligence Systems Identify Outbreak Sources?, with T.
Jefferson and E. Grossi in “2008 Annual Meeting of the North American Fuzzy Information
Processing Society (NAFIPS 2008)”. New York, USA, May 20th -22th, 2008.
Is Information Being Denied to the Scientific Community by the Reductionist Approach to
Data Analysis in Stroke Related Clinical Trials?, with C. Helgason ed E. Grossi in “2008
7.14.
7.15.
7.16.
7.17.
7.18.
7.19.
7.20.
7.21.
7.22.
7.23.
7.24.
7.25.
7.26.
7.27.
7.28.
Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS
2008)”. New York, USA, May 20 th -22 th, 2008.
J-Net System: a new paradigm for Artificial Neural Networks applied to diagnostic imaging
with E.Grossi in “2008 Annual Meeting of the North American Fuzzy Information Processing
Society (NAFIPS 2008)”. New York, USA, May 20 th -22 th, 2008.
The General Philosophy of Artificial Adaptive Systems in “2008 Annual Meeting of the North
American Fuzzy Information Processing Society (NAFIPS 2008)”. New York, USA, May 20 th
-22 th, 2008.
Four New Adaptive Systems for Four Medical Applications – Part 1 in “2008 Annual Meeting
of the North American Fuzzy Information Processing Society (NAFIPS 2008)”. New York,
USA, May 20 th -22 th, 2008.
Four New Adaptive Systems for Four Medical Applications – Part 2 in “2008 Annual Meeting
of the North American Fuzzy Information Processing Society (NAFIPS 2008)”. New York,
USA, May 20 th -22 th, 2008.
A novel adapting mapping method for emergent properties discovery in data bases: experience
in medical field in “2007 IEEE International Conference on Systems, Man and Cybernetics
(SMC 2007)”, 3457-3463. Montreal, Canada, October 7 th -10 th, 2007.
The added value of ‘Artificial Organisms’ in the analysis of medical data: six years of
experience, with E. Grossi, e A. Mancini, within the- “2007 Annual Meeting of the North
American Fuzzy Information Processing Society”. San Diego, California, USA, June 24 th -27 th
2007.
A new Evolutionary Approach to topographic mapping, with S. Terzi, Proceedings of the 7th
WSEAS International Conference on Evolutionary Computing, Cavtat, Croatia, June 12 th -14
th
, 2006, pp. 12-19.
A feed Forward sine based neural network for functional approximation of a waste incinerator
emissions, with S. Terzi e M. Breda, Proceedings of the 8th WSEAS Int. Conference on
Automatic Control, Modeling and Simulation , Praga, March 12 th -14 th, 2006.
New Recurrent Neural Architectures, with M. Breda and S. Terzi, Proceedings of the 2006
WSEAS Int. Conference on Mathematical Biology and Ecology, Miami, Florida, USA. 18January 20 th, 2006, pp. 174-201.
Pilot study on the use of Artificial Neural Networks in predicting cognitive decline from
qualitative and quantitative food consumption in Epic-Greek Study with E. Grossi, M.
Intraligi, A. Trichopoulou, D. Trichopoulou, U. Cornelli, Abstract Book Sorrento 2005 p. 55,
IX ITINAD Annual Meeting. Sorrento (NA), May 26 th /27 th /28 th, 2005.
Studio delle caratteristiche dei pazienti affetti da malattia di Alzheimer e da demenza vascolare,
using Self-Organizing Map (SOM) (with M. Gallucci, E. Grossi, M. Intraligi, V. Carlei, F. Di
Paola, S. Curatolo, M. Ronzon, A. Zanardo) Abstract Book Sorrento 2005 p. 48, IX ITINAD
Annual Meeting. Sorrento (NA), May 26 th /27 th /28 th, 2005.
Data Mining of brain aging descriptors from Nun Study through novel Artificial Adaptive
Systems (con D. Snowdon, P. Antuono, E. Grossi) Abstract Book Sorrento 2005 p. 21, IX
ITINAD Annual Meeting. Sorrento (NA), May 26 th /27 th /28 th, 2005.
The active connection matrix (ACM) system: a new paradigm for intelligent image processing.
Preliminary experience in DSA (F. Perona, E. Grossi) RSNA Chicago, November 28, 2004
(abstract).
Il miglioramento della ADL è funzione della riduzione della politerapia (with P.G. Zagnoni, S.
Ghiglia, C. Capellino, E. Grossi) VIII Annual Meeting ITINAD. Sorrento, June 3rd –5 th, 2004
(poster).
Beta-amyloid cascade components, processed with artificial neural networks, allow accurate
Alzheimer disease diagnosis in individual patients (with E. Grossi, M. Intraligi, F. Cociaghi, M.
Zimmermann, A. Padovani, B. Borroni, M. Di Luca) VIII Annual Meeting ITINAD. Sorrento,
June 3rd-5 th, 2004 (poster).
7.29.
7.30.
7.31.
7.32.
7.33.
7.34.
7.35.
7.36.
7.37.
7.38.
7.39.
7.40.
7.41.
7.42.
7.43.
7.44.
7.45.
Non linear mapping of Alzheimer descriptors through a new “evolutionary” algorithm: a Pilot
Study (with Maurizio Gallucci, Enzo Grossi) VIII Annual Meeting ITINAD. Sorrento, June
3rd-5 th, 2004 (poster).
Mapping distributed sources of cortical rhythms in mild Alzheimer’s disease. Preliminary
contributions by Itinad Group VI (with Claudio Babiloni, Guido Rodriguez, Giovanni Frisoni,
Enzo Grossi e Paolo M. Rossini) VIII Annual Meeting ITINAD. Sorrento, June 3rd-5, th 2004
(abstract).
Local Optimization Genetic Operators in GenD (M. Breda) Technical Paper n. 31 Vers. Ingl.
2003.
SuperVised Contractive Maps Technical Paper n. 30 Vers. Ingl 2003.
Bi Modal Networks Technical Paper n. 29 Vers. Ingl 2003.
Filosofia dei Sistemi Artificiali Adattivi (AAS), with M. Intraligi, Technical Paper n. 28 Vers.
Italiana, 2002.
Complex Recurrent Networks: a new type of Micro Artificial Organism (with M.Breda, S.
Terzi) Technical Paper n. 27 Vers. Engl 2002.
Classification of dyspeptic patients and prediction of the effectiveness of their treatment using
neural organisms in an optimized experimental protocol based on neuro-evolutionary
algorithms, (with E. Grossi, M. Intraligi, N. Garbagna, A. Andriulli, M. Breda) Technical Paper
n. 26 Vers. Ingl. 2002.
Artificial Neural Networks can ricognize individual patients affected by dementia only on the
basis of previous history (with E. Grossi, M. Intraligi, G. Maurelli, G. Cruciani, S. Bonaiuto)
VII Annual Meeting ITINAD (Italian Interdisciplinary Network on Alzheimer Disease) May
22 th -24 th, 2003 Sorrento (NA).
Artificial Neural Networks and Artificial Organism can predict Alzheimer Pathology in
individual patients just on the basis of cognitive and functional status (with E. Grossi, D.
Snowdon, P. Antuono) VII Annual Meeting ITINAD (Italian Interdisciplinary Network on
Alzheimer Disease) May 22 th -24 th, 2003 Sorrento (NA).
Travel salesman problem (TSP): un nuovo test neuro¬psi¬co¬logico per lo screening della
demenza (with Luc P. De Vreese, G. Massini, E. Grossi e S. Pra¬del¬li) e The Gender Factor
in Alzheimer disease: evidences from natural clustering of ad patients with advanced neural
networks (with E. Grossi, G. Massini, M. Intraligi). VI Annual Meeting ITINAD (Italian
Interdisciplinary Network on Alzheimer Disease) June 18 th -20 th, 2002 Sorrento (NA).
B-mode ultrasound measurements of carotid Intima media thickness and the assessment of
global cardiovascular risk. With D. Baldassarre, L. Pustina, M. Amato, E. Grossi, M. Intraligi,
C.R. Sirtori, E. Tremoli, R. Paoletti. 6th International Symposium on Global Risk of Coronary
Heart Disease and Stroke: Assessment, Prevention and Treatment. Firenze, 12th –15 th June,
2002.
Correlazione tra spessore medio-intimale, placche carotidee e lesioni coronariche. With D.
Baldassarre, E. Grossi, M. Intraligi, M. Amato, E. Tremoli, L. Pustina, S. Castelnuovo, C.R.
Sirtori. XII Congress of Cardiovascular Ultrasound. Milan, June 3rd–5 th, 2002.
Use of Artificial Neural Networks in predicting adverse drug reactions in patients receiving
contrast media. With E. Grossi, M. Intraligi, A. Seeberg. ECR Congress. Vienna, March 2002.
ANNs in the recognition of refluxer and non refluxer gerd patients only on the basis of clinical
data. With F. Pace, M. Intraligi, G. Massini, P. Dominici, F. Baldi, S. Passaretti, R. Cestari, G.
Missale, E. Grossi. Digestive Liver Disease. 2001.
Artificial Neural Networks (ANN) in predicting Atrophic Body Gastritis (ABG): evidence for
an high accuracy. With E. Grossi, E. Lanher, M. Intraligi, G. Massini, N. Garbagna, B.
Annibale. Digestive Liver Disease. 2001; 33: A1-6.
Reti neurali artificiali: identificazione di pazienti ad alto rischio cardiovascolare. With D.
Baldassarre, E.Grossi, M. Intraligi, M. Amato, L. Pustina, E. Tremoli, C. R. Sirtori. XV
Congresso Nazionale della Società Italiana per lo studio dell’Arteriosclerosi. Rome, November
29 th – December 1st 2001.
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Intima media thickness and valscular risk factors for the recognition of patients at high risk of
atherosclerosis. With D. Baldassarre, M. Amato, L. Pustina, E.Grossi, M. Intraligi, C.R. Sirtori,
E. Tremoli, R. Paoletti. XIV International Symposium on Drugs Affecting Lipid Metabolism.
New York, September 9 th –2 th, 2001.
Donepezil and behavioral disturbances in patients with Alzheimer disease: prototypical profile
of responders and non responders using a new model of artificial neural network. With
E.Grossi, R. Savarè, M. Intraligi. V Riunione ITINAD (Italian Interdisciplinary Network on
Alzheimer Disease). Rome, June 28 th –30 th, 2001.
Use of Artificial Neural Networks in predicting. Diagnosis in patients with gastro-esophageal
reflux disease. With E.Grossi, M. Intraligi, G. Massini, P. Dominici, R. Cerutti, F. Baldi, F.
Pace, S. Passaretti, G. Missale, R. Cestari. Gut: 49 (suppl. lll): 1475, 2001.
T&T: a new pre-processing tool for non linear data set, Technical Paper n. 25, Edizioni
Semeion, Rome, 2001.
New Recirculation, Technical Paper n. 24, Edizioni Semeion, Rome, 2001.
Use of Artificial Neural Networks in Predicting treatment response in patients with Alzheimer
Disease. With E.Grossi, R. Cerutti, M. Intraligi, P. Mecocci, A. Savaré, V. Senin. IV Riunione
Annuale ITINAD “Italian interdipliscinary network on Alzheimer disease”. Palermo, June
2000.
Squashing Theory and Contractive Map Network, Technical Paper n. 23, Edizioni Semeion,
Rome, 2000.
Genetic Doping Algorithm (GenD), Technical Paper n. 22, Edizioni Semeion, Rome, 2000.
Sine Net, (con Marco Breda e Stefano Terzi) Technical Paper n. 21, Edizioni Semeion, Rome,
2000-2002.
Genetic Doping and P.S.T.: A New Mapping System, Technical Paper n. 20, Edizioni
Constraint Satisfaction and Recirculation Neural Networks, Technical Paper n. 18, Edizioni
MAC.P.: Modello di Autorganizzazione Cognitiva in Parallelo, Technical Paper n. 15, Edizioni
Self-Reflexive Networks. Theory, Topology, Applications, Technical Paper n. 14, Edizioni
Teoria del Disagio in Incubazione, Technical Paper n. 13, Edizioni Semeion, Rome, 1994.
Dalle Macchine alle Reti, Technical Paper n. 12, Edizioni Semeion, Rome, 1992.
Codici e Linguaggi - Introduzione, Technical Paper n. 11, Edizioni Semeion, Rome, 1991.
Osservatorio permanente sul Disagio in Incubazione, (con Lorenzo Cassardo) Technical Paper
n. 10, Edizioni Semeion, Rome, 1990.
Il Cervello nel Cervello, Technical Paper n. 9, Edizioni Semeion, Rome, 1989.
Il Modello GT: Modello per lo studio dell’Ergonomia dell’Interfaccia Uomo/Macchina,
Technical Paper n. 8, Edizioni Semeion, Rome, 1988.
Il Panorama teorico del MAC P, Technical Paper n. 7, Edizioni Semeion, Rome, 1988.
Intelligenza Artificiale: Sistemi Esperti e Sistemi Complessi, Technical Paper n. 6, Edizioni
Introduzione al Modello MQ, Technical Paper n. 5, Edizioni Semeion, Rome, 1985.
Teoria della Procedura di Prevenzione, Technical Paper n.4, Edizioni Semeion, Rome, 1985.
Dinamiche Violente, Technical Paper n. 3, Edizioni Semeion, Rome, 1985.
L’immagine della Criminalità nei Mass-Media, La Criminalità nei Telefilm, Technical Paper n.
1/2, Edizioni Semeion, Rome, 1984.
Verbi d’Azione e Verbi di Passione, in Proceedings at the R. Chandler Conference, Cattolica,
September, 1980, Typescript (pp. 23).
8. Teaching in specialized course
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PROFESSOR in the Advanced Course CRIF ‘Artificial Adaptive Systems – Intelligent Data
Mining EURISC’ 3rd phase. The course was held in Bologna at the headquarters of CRIF May
19th -20 th 2015.
Mining EURISC’ 2nd phase. The course was held in Rome at the headquarters of Semeion
April 13 th 2015.
Mining EURISC’ 1st stage. The course was held in Rome at the headquarters of Semeion
March 25 th -27 th 2015.
PROFESSOR in the Advanced Course “Dissecting complexity of chronic diseases with
Artificial Adaptive Systems” at the Scientific Culture Center “Alessandro Volta”, Como, May
26 th - 30 th 2014.
PROFESSOR in the seminar "Artificial Adaptive Systems and Their Applications" held at the
Center for Computational and Mathematical Biology (CCMB) at the University of Colorado
Denver, May 16 th – June 6 th , 2011.
DIRECTOR and PROFESSOR of the 7th training course "Artificial Intelligence in Medicine",
organized by Bracco SpA as part of a program of medical specialists on the Theory and
Methods of Artificial Intelligence. The course was held in Rome at the headquarters of
Semeion May 7 th -9 th 2009.
Semeion July 9 th -12 th, 2008
Semeion June 11 th -14 th, 2008.
Semeion May 14 th -17 th 2008.
DIRECTOR and PROFESSOR of the 3rd training course "Artificial Intelligence in Medicine",
Semeion November 14 th -17 th 2007.
DIRECTOR and PROFESSOR of the 2nd training course "Artificial Intelligence in
Gastroenterology - Back to the Future", organized by Bracco SpA as part of a training program
for medical specialists on the Theory and Methods of Artificial Intelligence. The course was
held in Rome at the headquarters of Semeion September 5 th -8 th, 2007.
DIRECTOR and PROFESSOR of 1st training course "Artificial Intelligence in
Gastroenterology - Back to the Future", organized by Bracco SpA as part of a training program
for medical specialists on the Theory and Methods of Artificial Intelligence. The course was
held in Rome at the headquarters of Semeion July 4 th -7 th 2007.
PROFESSOR in multidisciplinary elective course entitled "Animals and medical science" with
a lecture on "Artificial Adaptive Systems in Medical Research", under the heading "Alternative
methods to animal testing", organized by the Faculty of Medicine and Surgery, University of
Bologna. Bologna, January 23rd , 2007.
PROFESSOR in "Central Drug Trafficking Database and Artificial Neural Networks Training
Course" as part of CDTD Project, for the group of experts at New Scotland Yard. Rome, July
3rd-7 th 2006.
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PROFESSOR in the seminar "Innovation Management" with a lecture on "Scientific Research
and Innovation". Trent March 1st, 2006.
PROFESSOR in the XIII edition of the Master in "Communication, Banking and Insurance,"
2006, organized by Heraclitus 2000, with a lecture on "Scientific Research and Innovation".
Pisa, February 24 th, 2006.
PROFESSOR in the "Supervised Neural Networks, and Evolutionary Algorithm
AutoAssociate PST", under the CDTD Project, the group of experts at New Scotland Yard.
March 2005.
PROFESSOR in the "1st National Seminar on Software Subnuclear Physics and Applied",
organized by the Istituto Nazionale di Fisica Nucleare (INFN) Alghero (SS) June 7 th -11th
2004. The lecturer had as theme: "Foundations of Neural Networks: Complex Systems Vs
complicated systems." Artificial Adaptive Systems (ANN and EP). Connections Active Matrix
(ACM).
PROFESSOR at Semeion of a course for a delegation of specialists of the Strategic
Intelligence Unit of New Scotland Yard on the theme: "Use of Artificial Neural Networks in
the fight against organized crime." December 9 th -10 th 1999.
PROFESSOR at E .Vanoni School Tax on "Organizational Behavior and Processes."
December 16 th -18 th 1998.
PROFESSOR of the course "Introduction to data analysis with Artificial Neural Networks",
made for young graduates in psychology at the University of Turin. June 23 th -24 th 1998.
PROFESSOR of the seminar "Artificial neural networks: Theory, Models and Applications"
held at the Department of Sociology, University of Milan. May 14 th, 1998.
PROFESSOR of the seminar "Artificial neural networks: Theory, Models and Applications"
held at the Department of Sociology, University of Milan. September 16 th, 1997
PROFESSOR of the course on "Artificial Neural Networks - Software Architectures and
Applications of Data Base" made for operators of Therapeutic Communities Israelis,
Americans and Finns, at the headquarters of Semeion. September 1st-04 th 1997.
PROFESSOR of the course on "Artificial Neural Networks" made for operators of ENEA
Working Group, at the headquarters of Semeion. February 11 th -13 th 1997
PROFESSOR of the course on "Artificial Neural Networks" made by Israeli operators of
Therapeutic Communities, at the headquarters of Semeion. October 21th-25 th 1996.
PROFESSOR of the course on "Artificial Neural Networks and Squashing Theory" made for
operators of SERT, ULSS of Padua. Financing Veneto Region. January to March and
September 1996.
PROFESSOR of the course "Theoretical and Practical on Artificial Neural Networks"
performed by the technicians of the Central School Tax E. Vanoni, Ministry of Finance.
February 8 th -10 th 1996.
PROFESSOR of the course on "Neural Networks" conducted by the team of the Polytechnic
of Milan, Department of Planning. Milan, July 17 th -19 th 1995.
PROFESSOR of the course on "Squashing Theory and Neural Networks" made for the
operators of the City of SG Valdarno part of the "Permanent Observatory on School and
Forecasting". S. G. Valdarno (AR) Italy. February 8 th -9 th 1995.
operators of the project team probe of Castelfranco Veneto. Rome, October 18 th -21 th 1994
operators of the project team probe of La Spezia. Rome, September 12 th -15 th 1994.
PROFESSOR of the "Workshop on Active Relational Dynamics" made to 40 professional
operators with the functions of coordination USSL 78 Vigevano Lomellina. Vigevano (PV)
from January to May 1994.
PROFESSOR of the course project "Prevention and treatment of military tossicofili the
catchment area of the Military Hospital of Verona," performed for the neuropsychiatric
department of the Military Hospital of Verona, and psychologists of the Department of Health
Mental Health Units of n. 25 in Verona. Verona, February 15 th -18 th 1994.
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PROFESSOR of the course "Prevention and Communication", performed by the operators of
the USL n. 78 Vigevano (PV). Vigevano, October-December 1993.
PROFESSOR of the course on "Neural Networks", performed by teams of Project Probe
Region of Veneto. Cittadella (PD), September 28 th -29 th 1993.
PROFESSOR of the course on "Squashing Theory and Neural Networks", carried out for
operators of USSL 76 of Casale Monferrato. C. Monferrato, July 13 th -16 th 1993
DIRECTOR of the course on "Neural Networks and Model MQ", performed by the team of
Project Probe Brugherio (MI). Rome, 6 th -8 th July 1993
DIRECTOR of the course on '"Agency of the ideas in the Territory", performed by teams of
Project Probe Region of Veneto. Portogruaro, May 18 th -20 th 1993.
DIRECTOR of the course on '"Agency of Ideas in School, 2 nd module", performed by teams
of Project Probe Region of Veneto. Conegliano, March 23 th -25 th 1993
DIRECTOR of the course on '"Agency of Ideas in School, 1 º form", performed by the teams
of Project Probe of Veneto Region. Castelfranco Veneto, March 2nd-4 th 1993.
PROFESSOR of the course on "Neural Networks" conducted for the “Progetto Sonda”
Parma. Rome September 1st-4th 1992.
DIRECTOR AND PROFESSOR of the course "The Agency of Ideas in the Community",
held in the following cities of the Project Probe: Brugherio (MI) October 1991, Genoa June
1992, Parma June 1992.
PROFESSOR Course "Inland Territory Ideas", held at the city's Sonda Project on the
following dates: Brugherio (MI), September-October 1991, Genova, June 1992, Parma June
1992.
PROFESSOR of a specialist course (32 hours) on the theme "Cognitive Theory of Prevention
and Discomfort", organized by the Municipality of Modena in Modena, the Emilia Romagna
and the Mental Health Center of Modena. February 1988.
PROFESSOR IN CHARGE by the Veneto Region - Department for Youth and Prevention a series of lectures on cybernetics in the "Course for psychologists of public and private
services agreement, operating in the area of addiction," the course was organized by the Social
Services and the University of Padova. 1988.
PROFESSOR Course Practitioner Training and Health Care School in Noventa Vicentina
(Vicenza and Veneto), on "Theory of Cognitive Discomfort from the procedure Prevention",
organized by the Local Health Noventa Vicentina and the School Superintendency of Vicenza.
NOVENTA VICENTINA, September 16th-18th, 1987.
PROFESSOR and DIRECTOR of the course "Introduction to Science Communication
applied to the somatic and cognitive behavior" in the Anthropology Seminar Theater, made at
the invitation of the Italian Institute of Culture and the Embassy of Italy in Venezuela by the
University of Caracas. The course was conducted under the auspices of the Italian Institute of
Culture, Ministry of Education of Venezuela, and the Neumann Foundation of the University
of Caracas. CARACAS January 10th-25th 1986.
COURSE DIRECTOR of "The MQ Model: Theory, Formalization and Computerization",
managed by Semeion and Abel Group, operators of Abel Group, preparatory to Project Probe.
TURIN, November-December 1985..
PROFESSOR of the graduate course "Communication theory applied to the analysis of
persuasive discourse", organized by the Region of Sardinia and IAROS. November-December
1985.
PROFESSOR of the specialized course "Theory of Communication", organized by the Lazio
Region and kept by the company EUROBIT SpA November 1985.
PROFESSOR of the specialized course "Theory of Communication", held in Rome, organized
by the Lazio Region and IAROS. July 1985.
PROFESSOR of the specialized course of 44 hours, organized by Unità Sanitaria Locale “Alto
Tevere Umbro” di Città di Castello, on subject “Metodologie computerizzate per l’analisi del
territorio contro il disagio giovanile”. 4 th -9 th February 1985.
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Coordinator and PROFESSOR of the course of 30 hours, organized by the Province of Rome
and the Democratic Teachers' Centre Initiative (CIDI) on "visual manipulation". From January
to March 1985
Coordinator and PROFESSOR of the course of 30 hours, organized by the Province of Rome
and the Democratic Teachers' Centre Initiative (CIDI) on "visual manipulation". From January
to March 1985.
PROFESSOR for a course of 30/40 hours at the Cooperative GULLIVER (Emilia Romagna)
on the theme: "Body, sound and image in socioanimazione". The course was commissioned by
the Coop. Emilia. April-May 1983.
9. Scientific software programmed
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Creator and programmer of the software Missing Net (v 1, Massimo Buscema, 2015) Given a
matrix of data with missing spread (code missing: "9999999"), a population of ANNs
supervised fills the missing with an estimate. And 'necessary that in the starting data there are
no columns or rows completely void. (Semeion Software n. 69).
AWIT (A What If Theory, v 1, Massimo Buscema, 2014). A dataset considered the "gold
standard" of a domain is compared with other datasets of the same domain in order to
determine the degree of similarity of the latter, defining the possibility of measuring the
distance from the dataset "ideal" and, therefore, deduce procedures "treatment" of the dataset
in order to reduce the distance. (Semeion Software n. 68).
Creator and programmer of the software Hubness (v 1.5, Massimo Buscema, 2015) Given a
file * .grp that defines the matrix of adiecenze a fully connected graph, the sw calculates
Hubness of the graph and its table of pruning. Furthermore with the help of an evolutionary
algorithm (GenD) attempts to draw a second graph with similarity 'weak, medium or strong to
the first. (Semeion Software n. 67).
MST index (v 1.4, Massimo Buscema, 2014). Given a data file *.nna with p variables (columns)
and n records (rows) defined some indices of similarity of the MAT generated. (Semeion
Software n. 66).
Dynamic Naive Bayes (v 1.1, Massimo Buscema, 2014). Given a data file *.nna with p
variables (columns) and n records (rows) in temporal succession, creates the rules and the
sparse graphs between those variables. (Semeion Software n. 65)
Quakes (v 4.5, Massimo Buscema, 2012). Program for the Research Project on the earthquakes
predictability. (Semeion Software n. 63).
Multi Metric Adaptive KNN (v 2.5, Massimo Buscema). Implementing an adaptive KNN.
From the selection of the metric and after standardization of data, genetic algorithm
determines the K GenD great and select the relevant input in the context of a procedure for
train-test. The generated model is then projected on a sample of blind prediction. (Semeion
Software n. 62).
Creator and programmer of the software Simple Adaptive KNN (v 2.0, Massimo Buscema).
Implementing an adaptive KNN. From the selection of the metric and after standardization of
data, genetic algorithm determines the K GenD great and select the relevant input in the
context of a procedure for train-test. The generated model is then projected on a sample of
blind prediction. (Semeion Software n. 61).
Creator and programmer of the software ver. 1.5. Metrics Machine. Application of supervised
type. From different metrics (Linear Correlation, Prior Probability, and various measures of
distance), is defined as a best combination that generates an MST that defines the class of each
record. (Semeion Software n. 60, 2012).
Creator and programmer of Auto Contractive Maps Software Composition with Hyper-CM
HC ver. 1.0. The network AutoCM redefines the records in the input array and then the
transposed matrix on the basis of fuzzy logic implemented by the equations KCM. Is then
defined a new metrice square in which are fused record information on the variables and, on
which is riapllicatoa AutoCM the network to obtain a global MST. (Semeion Software n. 59,
2012).
Creator and programmer of the software PathNet Auto Contractive Maps Composition with
Hyper-CM HC ver. 4.0. On the matrix of weights resulting from a learning phase by a
population of Networks Autossociate recirculation is applied to the procedure of TDM
Clustering (Target Diffusion Model) for the definition of the networks excitatory and
inhibitory. The network operates AutoCM a summary of this procedure by isolating a tensorial
matrix of the records originated. (Semeion Software n. 58, 2012).
Creator and programmer of the software NNR Result Analysis ver. 2.0. Software for
processing and analysis of NMR files, results of calculations with different neural networks,
including the results encoded Weka. Allows a calculation of the similarity of processing errors
Massimo Buscema - Curriculum Vitae -44Aggiornamento 18/03/2016
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and the generation of a file to generate an MST and the resulting dendrogram. (Semeion
Software n. 57, 2011)
Author Designer and Programmer of the software Metanet Multi-Train v. 1.0. The software
allows training on a dataset that records show otherwise sampled. (Semeion Software n. 55,
2010).
Author Designer and Programmer of the software ACM Fusion v. 3.5. The system is capable
of merging multiple images capturing the most significant traits of each and improving the
final result (Semeion Software n. 54, 2010).
Author Designer and Programmer of the software Twisting Theory v. 2.0. The system is
capable of simulating the effects of movements of objects on the floor, in space 2 and 3
dimensions. (Semeion Software n. 53, 2010).
Creator and programmer of the software P-Fast ver. 6.1. Pre-processing system to translate the
spatial dimension signals that develop over time. Using metrics is available in the literature
(Euclidean distance, linear correlation, etc..) Metric is designed by Semeion
(AutoContractiveMap, Prior Probability, etc..), Through the application of the Minimum
Spanning Tree (MST) shows the structure between the minimum variables that make up the
database, also floating window allows to reconstruct the sequence of events in space over time.
(N Semeion Software. 52, 2011).
Programmer and creator of Modular Auto-Associative ANN software v. 14.0. Experimental
software based on the assumption that the type networks autoassociato can get better
performance in learning and generalization than traditional supervised networks. In a
classification problem a global dataset is decomposed into a number of datasets equal to the
number of targets, each consisting of records belonging to each class. Each dataset was
processed by a network autoassociata. (N Semeion Software. 51, 2011).
Creator and programmer of the software Auto-Associative ANN Supervised v. 4.5.
Experimental software based on the assumption that the type networks autoassociato can get
better performance during learning and generalization than traditional supervised networks. In
a classification problem a global dataset is decomposed into a number of datasets equal to the
number of targets, each consisting of records belonging to each class. Each dataset was
processed by a network autoassociata. (N Semeion Software. 50, 2012).
Creator and programmer of the software Sort Index (v 0.5, 2008), Software utility 'to compare
the files pty of various algorithms (such networks Constraint Satisfaction, software n. 14, the
pty files are made on the basis of the original weights of each algorithm and their linear
correlation). (Semeion Software n. 49).
Creator and programmer of the software AutoPoietic Networks v 2.1. Software that
implements a different version of the Self Organising Maps, compared to software n. 19. It
also generated a *. WTX for the MST, based on Euclidean distances between variables based
on the codebook. (N Semeion Software. 48, 2008).
Creator and programmer of the software SOM Maps and Errors, v. 1.5. Starting from
calculations with the SOM, the software displays the output maps and determines four new
types of errors: quantization error, error of compactness, the centroid error and topological
error. The error of Compactness of the Map (MP) and the compactness of the centroids (CC)
are percentualizzati correctly. (N Semeion Software. 47, 2008).
Creator and programmer of the software Aloc CS (At Least One Connection), v. 5. Software
for querying data through the parallel selection of variables belonging to different DB. It is a
ystem that hala ability to relate dynamic data from different databases. DB Data N, N, and N
records that have different variables, can be connected together if you can build a tree graph
between the variables of all N DB. Given this condition, the system calculates the weights
using the equations of co-if applicable, between a variable and any other of each of the DB
connected. (N Semeion Software. 45, 2009).
Creator and programmer of Metanet Software, ver. 1.0. This software is designed to allow the
generation of metaclassificatori. From the results of calculations based on artificial neural
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networks, are launched 5 different learning algorithms to generate 5 metaclassificatori for
performance optimization. (N Semeion Software. 44, 2007).
Creator and programmer of the software Hidden Input Discovery, ver. 1.0. The software is
based on the algorithm evolutionary GenD that, given a dataset of n variables and m records,
generates an n +1- th column, attempting to "reconstruct" what may be called "hidden
variable". The aim is to better performance on the new supervised neural network training data
set "extended" result. (n Semeion Software. 43, 2007).
Creator and programmer of software ACM Color ver. 1.0. This is a software architecture that
implements the algorithms ACM (Active Matrix Connection) for the processing of color
images. (N Semeion Software. 41, 2007).
Creator and programmer of the software TWIST (Input Search & T & T reverse), ver. 2.0. The
software combines the functions of the software T & T 2 (no. 16) and IS (no. 17). On the basis
of an evolutionary algorithm of the type GenD and starting from a db of independent and
dependent variables (better if multinomial), the system identifies a distribution in two rows
with the same probability density function with the least possible number of independent
variables in the first file to estimate the employees of the second file. The evolution of the
population provides two functions: the evaluation of the fitness of each individual (through a
cross-validation performed in a blinded fashion by a neural network type MLP) and
recombination (crossover) of certain individuals in order to create new individuals with better
characteristics . (N Semeion Software. 39, 2007).
Creator and programmer of the software MST ver. 4.1. From the data generated by a CS
network, the software generates the Minimum Spanning Tree and analyzes it in terms of
connectivity of nodes (variables) and the measurement of their ability to constitute a hub, in
order to define the structural characteristics and the degree of complexity of the system
analyzed, in relation with the entropy of the graph. (N Semeion Software. 38, 2007).
Creator and programmer of the software Cluster GenD, ver. 3.0 The software allows you to
create a dataset based clusterizzazioni GenD evolutionary algorithm, operating on the weight
matrix generated from a CS network (n Semeion Software. 37, 2006).
Creator and programmer of the software PVT 3D v 3.0, M. Buscema (2013) Process
management, image processing with models based on Neural Networks, implementing the
model of PVT, patented in 2003, in the version in 3 sizes. The screen summarizes the results
of the analysis of the different slices. The original (top left) is compared with the segmentation
of the radiologist, immediately below, and with the output provided by the neural network
model positioned to the right. The injured area is highlighted with the color red in both cases.
It is evident that the more similar the two images are more the system is effective. (Semeion
Software n. 36).
Creator and programmer of the software Cluster PST, ver. 2.0 This is a system based on the
algorithm evolutionary GenD able to carry out the clustering of maps created by the program
PST, to define the centroids of the clusters on the map and to assign to each point on the map
the membership with respect to the centroid of belonging (Semeion No software. 34, 2006).
Creator and programmer of the software Batch ACM, ver. 2.0 for the preprocessing of images.
The software has already been used for breast microcalcifications (60x60 windows), and for
breast masses (windows 200x200). (N Semeion Software. 33, 2007).
Creator and programmer of the software IFAST autoassociative Metatask, ver. 7.0
autoassociative Metatasks. This SW is capable of translating a list of files, each represented by a
time series of cardinality variable and a fixed number of variables in the values of the
connections of an ANN AutoAssociata. The connections that emerge from each file are
learned parameters that summarize the implicit function to which that series belongs
multivariate. In this way, it creates a new file in which each record a summary of the original
file (No Semeion Software. 32, 2007).
Creator and programmer of the program VISUAL DB, ver. 4.0 for the analysis of databases
that have a high number of variables and a low number of cases, the software part in the
9.34.
9.35.
9.36.
9.37.
9.38.
9.39.
9.40.
9.41.
9.42.
9.43.
9.44.
9.45.
problems of the models bi-clustering, and is capable of displaying a DB as a problem of
imaging. (N Semeion Software. 31, 2005).
Creator and programmer of the program, ACM (Active Connection Matrix), ver. 9.0 for image
analysis by Artificial Adaptive Systems. (N Semeion Software. 30, 2004-2006).
Creator and programmer of the program LAWS LEARNING SIMULATION ver. 1.0. System
to test the power of the various laws of learning by creating a system of autonomous
generation data between ANNs coupled. (N Semeion Software. 27, 2003). (Programming
Language C + + Builder, Windows operating environment).
Creator and programmer of the program MOS (Maps Organizing System) vers. 2.0. New
software that integrates various processing systems, including neural network SOM (SelfOrganinzing Maps), and evolutionary systems PST and TSP. (N Semeion Software. 26, 20022003). (Programming language C + + Builder ¬ tion, the Windows operating environment).
Creator and programmer of the program supervised Recall ver 6.5. System for gene ¬ rare
ANN already trained and supervised organizations for the purpose of recall. (N Semeion
Software. 24, 2003). (Programming language C + + Builder ¬ tion, the Windows operating
environment).
Creator and programmer of the program OPTIMIZER VER 1.0. This is a software based on
the algorithm that finds the evolutionary GenD logical rules (If. .... then) that connect
databases. (C programming language, operating system, Windows) (Software Semeion n. 22,
2003).
Creator and programmer of the program ECONET VER 1.0. This is a software that allows
you to simulate interactive games between individual agents, each constructed according to
rules developed by the agents of evolutionary game theory. Moreover, the Sofware implements
four new types of neural agents, each equipped with its own learning law: Agents Back
Propagation, SineNet Agents, Agents and Agents Bi Modal Contractive Maps. The software
also allows you to choose the criteria for meeting the Agents (Random VS Sympathy), to save
all the interactive and dynamic scores and prepare data files for further analysis of simulation
results with other complex systems. (C + + programming language, operating system
Windows) (Software Semeion n. 21, 2003).
Creator and programmer of the program AUTO-ASSOCIATIVE RECALL. Recall program
on new data that implements the algorithm of the network New Recirculation with re-entry to
perform queries. No Semeion Software. 20, Rome 2001-2005. (Programming language C + +
Builder, Windows operating environment).
Creator and programmer of the PST program-RECALL version 2.0. Program for displaying
maps bi-dimensional implicit variables in a database built from PST program. No Semeion
Software. 18, Rome 2001-2005. (Programming Language C + + Builder, Windows operating
environment).
Creator and programmer of the system I.S. (Input Search) ver. 2.0, to carry through ANNs and
Evolutionary Programming the selection of the most significant independent variables for a
given function. No Semeion Software. 17, Rome 2002. (Programming Language C + +
Builder, Windows operating environment).
Creator and programmer of the T & T (Training and Testing) ver. 3.0, to carry through ANNs
and Evolutionary Programming an optimal distribution of a sample of data into N sub-samples
of data with the same function of the probability density. No Semeion Software. 16, Rome
2001-2005. (Programming Language C + + Builder, Windows operating environment).
Creator and programmer of the program Contractive Maps, ver. 1.0, Artificial Neural
Networks for programming algorithms based on contraction. No Semeion Software. 15,
Rome, 2000-2002. (Programming Language C + + Builder, Windows operating environment).
Creator and programmer of the program Constraint Satisfaction Networks ver. 9.0, Artificial
Neural Networks for Constraint Satisfaction program. No Semeion Software. 14, Rome 20002007. (Programming Language C + + Builder, Windows operating environment).
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Ideator Creator and programmer of the program autoassociative ver. 8.0, to plan associative
memories. No Semeion Software. 13, Rome 2000-2007. (programming language C + +
Builder, Windows operating environment)
Creator and programmer of the program supervised ver. 12.5, for programming Artificial
Neural Networks and Feed Forward Highly Recurrent. No Semeion Software. 12, Rome 20002007. (programming language C + + Builder, Windows operating environment).
Creator and programmer of the PST program ver. 7.0, which implements a specific genetic
algorithm (GenD) for put in map in two dimensions any data base with the automatic insertion
of hidden unit. No Semeion Software. 11, Rome 1999-2006. (programming language C + +,
Windows operating environment).
Creator and programmer of the program GenD TSP-ver. 3.0, which implements a specific
genetic algorithm (GenD) to find the shortest path problem to the Traveling Sales Problem
person. No Semeion Software. 10, Rome 1998-2006. (programming language C + +, Windows
operating environment).
Author and Programmer Metanet program, which implements a neural network that processes
and optimizes the results of other Neural Networks, Expert Systems and Statistical Models of
pro-intelligent classification problems. No Semeion Software. 9, Rome 1996 (programming
language: C + +, operating environment: MS DOS).
Author and Programmer of the MAPS program, Shell for self-reflexive neural network (neural
network designed by the author in 1989, owned by Semeion). No Semeion Software. 7, Rome,
1993-1996 (programming language: C + +, operating environment: MS DOS)
Author and Programmer of the program SCHEMA, Shell for Constraint Satisfaction Neural
Network, Back Propagation, Recirculation. No Semeion Software. 6, Rome, 1994-1999 (language programming: C + +, operating environment: MS DOS).
Author and Programmer of the program SQUASH vers. 15.0, the environment for Feed
Forward and Recurrent Neural Networks, Software Semeion n. 5, Rome, 1993-1999
(programming language: C + +, operating environment: MS DOS).
Author of VERY-NET, computerized theoretical model, patented by Semeion to re-look
"assessment of drug addicts treated by the Public Services UULL.SS. research and testing of an
assessment methodology ", Veneto Region, Department of Social Services, Department for
Youth Policy and Prevention. No Semeion Software. 4, Rome 1990-1991-1992.
Author and Programmer of the Quester. Computer program, designed by Semeion
collaboration with the Working Group for Social and Health Education Service USSL 78
Vigevano, search for "Check on communication strategies for action on AIDS". Rome 19901991-1992 (programming language: QB; operating environment: MS DOS).
Author of an expert system software architecture for distributed intelligence on public works,
on behalf of Cassa Edile of Teramo. Rome 1991.
Author and Programmer's gesturing Test Network, patented by Semeion computerized
theoretical model, which operates the simulations with Forward Networks. Rome 1990
Author and Programmer of the different versions dell'MQ-QUANT, computer theoretical
model patented by Semeion-authorized, the aim of analyzing communication and interaction in
small groups, the system provides diagnosis in natural language, using the logic nuanced and
simulations neural networks. No Semeion Software. 2, Rome 1989-1991-1992-1993
Author of Test gesturing, patented by Semeion computerized theoretical model for the analysis
of gestures. Rome 1988.
Author and Programmer of the different versions dell'MQ-COLL, theoretical model
computer-authorized by the patented Semeion, aimed at analyzing the discomfort in
incubation. No Semeion Software. 1, Rome 1988-1989-1990-1991-1992 (programming
language: C + + and QB; operating environment: MS DOS).
Patents
1. Active Connection Fusion (ACF): A new class of Algorithms for Image fusion. Applicant:
Semeion Research Center & CSI. Inventor: M Buscema.
1.USA Patent: S/N 13/085,240. Deposited April 12 2011
2. Target Diffusion Model (T.D.M.): An algorithm to model the causation process of a discrete
process. Applicant: Semeion Research Center & CSI. Inventor: M Buscema.
1. USA Patent: 13/070,854. Deposited 24 March 2011.
3. Twisting Theory (TWT): a new theory and a new class of Algorithms able to model the global
deformations of the space, considering the trajectories of only a little sample of points along the
time flow. Applicant : Semeion Research Center & CSI. Inventor: M Buscema.
1.USA Patent : 12/969,887 . Deposited 16-Dec-2010.
4. Harmonic Center A new class of algorithms able to define from a sample of points distributed
into 2 or 3 dimensional space the different membership of harmonics of any geometrical point
of the surface. Applicant: Semeion Research Center. Inventor: M Buscema.
1.USA Patent: 12/969,620 . Deposited 16-Dec-2010.
5. Recurrent MST: A new class of algorithms able to define from a sample of points distributed
into 2 or 3 dimensional space the set of the geometrical points implicated from that
distribution. Applicant: Semeion Research Center. Inventor: M Buscema.
1.USA Patent: 12/969,673 . Deposited 16-Dec-2010
6. Pick & Squash Tracking An Algorithm for projecting information data belonging to a
multidimensional space into a space having less dimensions a method for the cognitive analysis
of multidimensional information data based on the said algorithm and a program comprising the
said algorithm stored on a recordable support. Applicant Semeion Research Centre Inventor
M. Buscema
1. International Patent: Application n. PCT/EP2004/051190 deposited 06-22-2004.
2. USA Patent US 7,792,869 B2 Sep. 7, 2010.
7. Sine Net : AN ARTIFICIAL NEURAL NETWORK. Applicant Semeion Research Centre.
Inventor M. Buscema
1. European Patent(Application n. 03425582.8 deposited 09-09-2003).
2. USA Patent No US 7,788,196 B2 - Aug.31,2010.
3. International Patent: Application PCT/EP2004/05189 deposited 08-28-2004.
8. Training & Testing System : System and method for optimisation of a database for the training
and testing of prediction algorithms. Applicant Semeion Inventor M. Buscema
1. USA Patent US7,711,662 B2 – May 4 2010 (Application n. US60/440,210 deposited
01-15-2003).
2. International Patent : Application n. PCT/EP04/00157 deposited 01-13-2004
9. Guacamole: A population of Unsupervised ANNs able to perform supervised pattern
recognition. Applicant Semeion Research Center. Inventor: M Buscema.
1. European Patent: 09425114.7 deposited 20/03/2009.
10. Pixel Vector Theory A method for encoding image pixels, a method for processing images and
a method for processing images aimed at qualitative recognition of the object reproduced by one
or more image pixels. Applicant Semeion. Inventor M. Buscema
1. European Patent : Application n. 02425141.5 deposited 03-11-2002;
2.
3.
4.
5.
International Patent :Application n. PCT/EP03/02400 deposited 03-10-2003;
USA Patent US 7,672,517 B2 – Mar 2 2010.
China patent n. 478548, 18-03-2009
Japan patent n. 4303598, 01-05-2009
11. Genetic Doping Algorithm for Resolution Travelling Sales Person Problem Method and
system to evaluate the cognitive performance of an individual. Applicant Semeion - Bracco.
Inventor M. Buscema & E. Grossi
1 International Patent: Application n. PCT/IT01/00542 deposited 10-24-2001.
2 Japan patent n. 4085061, 22-02-2008
12. Active Connection Matrix J-Net An algorithm to recognize relationships between data of a
database and a method for image pattern recognition based on the said algorithm. Applicant
Semeion Research Center Inventor M. Buscema
1. European Patent: Application n. 07425419.4 deposited 07-06-2007.
13. Implicit Function As Squashing Time Method of processing multichannel and
multivariate signals and method of classifying sources of multichannel and multivariate
signals operating according to such processing method Applicant Semeion Research Centre
Inventor M. Buscema
1. International Patent: Application n. PCT/EP2007/055646 deposited 06-08-2007
2. European Patent: Application n. 06115223.7 deposited 06-09-2006.
14. Active Connection Matrix An algorithm for recognizing relationships between data of a
database and a method for image pattern recognition based on the said algorithm. Applicant
Semeion Research Centre Inventor M. Buscema
1. European Patent : Application n. 03425559.6 deposited 08-22-2003.
2. International Patent : Application n. PCT/EP2004/05182 deposited 08-18-2004.
11. Design of Algorithms©
11.1.
11.2.
11.3.
11.4.
11.5.
11.6.
11.7.
11.8.
11.9.
Inverse Reply Algorithm (IRA), June 2015: After an Auto-Associative learning phase it is
possible to set up the coordinates of the final attractor, and a GenD algorithm will try to find
out the best setting of the variables able to optimize it.
The Generalized Hyper Composition Algorithm (GHC), June 2015: After an Auto-Associative
learning phase with any algorithm, another algorithm can be used in query batch mode with
hidden units activated. A new D-Matrix {Variables+Records) x Variables} is generated and a
new Auto CM, and/or any other Auto-Associative algorithm, can learn the Hyper Composed
dataset and project it into a weighted graph (directed or undirected).
The Recall One Shot (ROS), May 2015: This equation may be used after the learning phase of
any Auto-Associative algorithm, in order to recall new input pattern for completion and/or
scenarios simulation (suggestion by Roberto Benzi).
The new K-CM weighted equations for assigning the class is changed, May 2015.
Missing Net, May 2015: a population of SV ANNs are able to complete a Data Matrix of
incomplete data, if no row and no columns is completely empty.
New 4 systems for Semeion Intelligent Traffic Organization (SITO), May 2015 (see
documentation: New Traffic L Theory(may 2015).pptx).
New equations for Gauss Net, April 2015.
Semeion Intelligent Traffic Organization (SITO). (Febbraio 2015).
Textual Conceptual Map. (Febbraio 2015).
11.10.
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11.12.
11.13.
11.14.
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11.21.
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11.26.
11.27.
Harmonic CM. (Gennaio 2015).
Predictive Twisting Theory. (Dicembre 2014-Gennaio2015).
MST Index : An Algorithm able to evaluate the metric of any unsupervised algorithm (Jan
2014).
AWIT: ANNs-What If Theory (Completed) (Jan 2014).
Dynamic AutoCM (with G Massini): A system and an algorithm able to detect the anomalies
of the data flow, in terms of variables and in terms of records (Feb 2014).
F&O, Frequency And Order: A new algorithm able to code any type of word for pattern
recognition (Feb 2014).
Data Matrix Theory: the new operator Fusion able to process together datasets with different
variables, different records and same output/target (March 2014).
TWC σ (with G Massini): A New Algorithm to detect the source of a process recorded by the
intensity of sensors located in 2d space (March-April 2014).
AutoCM Sparse Graph: A new algorithm to use the a-symmetric matrix of AutoCM to cluster
data in sparse physical networks (April 2014).
TWC full semantics: a new algorithm to force the TWC to consider X-metrics not based on
the geometrical coordinates (March 2014).
TWC σ with function approximation: A New Algorithm to detect the source of a process
recorded by the intensity of sensors located in 2d space using ANNs (April 2014):
a. Multilayer Back Prop;
b. Supervised Contractive Map.
Optimal Window: a new technique to find out the optimal length for a temporal series (May
2014).
Selfie ANN: Selfie algorithm (June 2014) learns the position of each Entity in relation to any
other. In this way the position of each Entity is learned in a collective and convergent modality
by the other Entities. When a new point appears in a specific position, all the trained Entities
will try to modify its position in relation to the logic that they have previously learned (the
Hyper Surface computed). During the test phase we may have 3 typical cases: Normal case 1:
The new point has the same position of someone of the trained entities: in this case the new
position assigned to it will be similar to its original position (according to the training
error).Normal case 2: The new point has different coordinates from any of the trained
entities: in this case the new position assigned to it will be different to its original position, in
order to maximize the function learned. Relevant case: The new point has different
coordinates from any of the trained entities, but this time its position remains the same.
Consequently, this new point belong to the learned function more that the trained Entities. All
the new points with different coordinates from any of the trained entities, whose position
remain unchanged during the test phase, have to be considered the Hidden Entities of the
computed function. These new points belong to the function more than the trained Entities.
Consequently, they have to be considered the kernel of the function itself.
Gauss Net (October 2014): Supervised ANN with the first layer is trained with Gaussian
nodes,and the second layer tries to minimize the square error.
Supervised NewRecirculation (SV-NRC) (October 2014): Supervised ANN composed by an
Unsupervised New Recirculation Neural Networks (NRC) and a Multilayer Preceptron (MLP).
Both ANNs are trained together and in independently. The Hidden layer of MLP provides
dynamically the Input vector for the MLP.
Temporal TWC (T TWC). (December 2014). When the coordinates of the points are ranked in
a temporal series, the T TWC is suitable to be applied. All the TWCs from 3 points to N need
to be calculated incrementally. The average of the TWCs is the Temporal TWC.
Predictive Twisting Theory (P TWT) (December 2014). Using PVT for the pre-processing of
data generated by TWT is possible to train an ANN to predict:
a. The next positions (x,y) of all the GPS points assigned;
b. The next shape of the whole landslide (look at Figure 1a and 1b).
Active Twisting Theory (ATWT) Each point of the grid becomes active moving the points
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11.30.
11.31.
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11.48.
within its neighborhood proportionally to the shift that it has received. (December 2014).
A family of Algorithms able to evaluate the quality and the quantity of the metric of any
unsupervised algorithm (Jan 2013).
Many TWC Alpha Point (Jan 2013).
Conic ANN (Feb 2013).
A Scalar Field of Excitations and Inhibitions generated by TDM_C (TDM_C(E-I Field) using
the TWC Beta field as boosting (March 2013).
TDM_C 2D (April 2013).
TDM_C & LEM for invariants extraction (April 2013).
Meta-Alpha (April 2013).
Multi Scale Ranked ROM [MS ROM] (May 2013).
Flock Net (May 2013).
Spin Net (July-August 2013).
Auto Associative Naïve Bayes (July 2013).
ANNs What If Theory – AWIT (Sept 2013).
From Pixel To Matrix – FPTM (Sept 2013).
Image Inverse Average – IAV – (Sept 2013).
PVT Extended (October 2013).
Dynamic Naïve Bayes (DNB) (November 2013).
TWC Meta Distance (September-November 2012)
TWC (Massimo Buscema, September 2012) :
a. TWC Theta (θ): TWC(θ) is new scalar field given by the proximity of any geometrical
point to the Non Linear MST;
b. TDM Path: Consider every point of the path connecting, in TWC(γ), each point to any
other , passing through the mass centre. For each one of these new points their distances
from each of the assigned points is calculated and all those distances are saved in a new
dataset. TDM_C is applied to this new dataset to find the optimal networks of excitations
and the optimal networks of inhibitions among the assigned points.
c. Meta TWC(α): the recursive iteration of the normalized matrices of distances to find all
the possible paths of entropy minimization is applied.
A_KNN (Adaptive KNN) July 2012: KNN is a powerful classification algorithm, with many
positive features and some weakness. The first weakness of KNN is to be too much sensitive
to the noisy attributes of the assigned dataset; The second weakness is that KNN results are
very dependent from an arbitrary value of K; The third weakness is that KNN results are very
sensitive to the metric used to build the distance matrix.
Meta-Distance ( May 2012): The algorithm K-CM, or any other algorithm based on the
philosophy KNN, once trained on the sample of Training, and 'able to represent in a semantic
map weighing the records of the sample of Testing, on each of which, as already seen , it
redefines the values of the input vector (typing) and assumes the classification (recognition).
The specific algorithm by which you make this projection takes the name of "Meta-Distance".
In formal terms, it calculates the Euclidean distance of each record of testing (input + target
assumed) from each record used for the training (inputs + real target).
"Supervised Metrics Machine" (SMMS) is an evolutionary algorithm (GenD) found that the
combination of iterative great distances (Meta nth DISTANCES), calculated with different
metrics, such as to maximize the first neighbors of an MST with respect to the class
(supervision) it belongs to each Node-Record.
The advantages of the SMM are different:
a. Identifies the sequence of combinatorial artificial metrics that more 'natural metric to
approximate the dataset supervised;
b. Relates to all records in a dataset of MST which clarifies the relationship and allows further
statistical characterization;
c. Place each new record in STD testing training, sometimes changing it appropriately,
clarifying its position in the tree and its similarity 'with which other training.
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(April 2012).
“TDM Clustering” TDM(C): specific equations are applied to any
Dataset of
Transformations, generated:
a. by a Multivariate Temporal Process);
b. by any Associative Memory Recall Process.
TDM(C) main goal is to define the two main cause-effect networks among the variables:
a. The direct graph of the cause-effect excitatory connections;
b. The direct graph of the cause effect inhibitory connections.
The new two Matrices, the excitatory and the inhibitory one, are non symmetric matrices.
They describe the direct (sparse) graph of the analyzed dynamics.
These graphs show also the natural clustering of the assigned dynamics (where the Variables
that are never source and target of any transformation are isolated).
(Febbraio 2012).
Lines of Energy Minimization (L.E.M.): a squared matrix representing the I/O parameters of
interaction of the variables of a data matrix is given:
a. The open minimal path from any variable to any other is calculated;
b. Each path represents the Line of Energy Minimization by means each variable is
transformed into others.
c. The transformations Lines of Energy Minimization of each variable is saved and the
frequency of transformation of each variable is counted;
d. A new squared matrix, with null main diagonal, representing the frequencies by means any
variables is transformed into any other is represented;
e. A direct graph representing this transformation process is projected.
(Gennaio 2012).
“Hyper Composition Matrix” (H-CM): si tratta di un algoritmo in grado di sintetizzare in una
sola matrice quadrata, coordinate (variabili) e iper punti (records) di una dataset. (Gennaio
2012).
"Mass Information Matrix": this is a new algorithm to define the "mass information" (in a
pseudo-physical) variables and records in a dataset. (October 2011).
"MRG Hyper" is an algorithm that can define a graph whose nodes (eg records) are composed
of sub paragraphs (variables), in which are defined as those variables are organized for each
record. (June 2011 Colorado-USA).
"Multi-Scale Entropy Density" (MDE) and "Multi Window Scale Entropy" (MWE): they are
two algorithms that use the Multi Scale Sample Entropy to find the time invariant (MDE) and
spatial (MWE) of a sequential system. (June 2011 - Colorado - USA).
New algorithm for calculation of the TWC: each distance (i, j) is calculated as the average of
the sum of the other distances. The matrix generated is not symmetric. The iterative procedure
of the sum of negative exponential growth of the parameter "Alpha" minimizes the entropy of
the system of points awarded, by defining the coordinates (x, y) of the new point of origin of
the process as possible. (June 2011 - Colorado - USA).
Setting the "Data Matrix Theory" (DMT): it is a theory that treats each matrix of real numbers
as a discrete representation of two implicit functions. The DMT develop new algebra of
operators able to manipulate the matrix assigned to create new data arrays. (June 2011 Colorado - USA).
“Quakes Contraction and Resonance Energy” e’ un insieme di algoritmi in grado di aggiornare
le previsioni di un ANN circa la Magnitudo dei terremoti, considerando la correlazione nello
spazio e nel tempo degli eventi, la loro risonanza e l'eventuale energia contratta (energia
superficiale).(Marzo –Novembre 2011).
Designed "ATDM" (Target Atemporal Diffusion Model), a new algorithm to approximate
quickly the relations of the third order in very large datasets. (March 2011).
Designed a new algorithm called "PathNet". Through the learning of a population of
Recirculation ANNs, each record is recoded as a matrix that defines the pseudo-temporal
trajectory of that record to its fixed-point attractor. (October 2011).
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11.79.
Designed new algorithm "K-CM" of supervised ANN for pattern recognition of multinomial
type. K-CM during the training phase to build a mental model of explicit input variables in the
form of directed graph and rewrites each variable in each record of the entire dataset (Training
and Testing) in the form of a codebook. (January 2011).
Designed new algorithm TMD (Target Diffusion Model), for defining probabilistically
(probability) the cause-effect processes in multi-temporal signal (September 2010)
Designed a new algorithm Metanet, best of all the previous ones: Meta Consensus Net (May
2010).
Designed a new algorithm and theory for calculating the nonlinear shift of all points in the
plane 2d and 3d, starting from the displacement of some points awarded: Twisting Theory
(Feb 2010 - March 2010).
Designed a new algorithm of the ACM family, for the identification of the wires in the
pictures: Wave Net (Feb 2010).
Designed a new algorithm to merge multiple images and improve: Active Connection Fusion,
ACF (January 2010 - March 2010)
Designed two new family of ACM algorithms for image segmentation in a single cycle:
Maximum Information Entropy (MY) and Maximum Entropy and Gradient (MEG) (June-July
2009).
Designed a new algorithm for the identification of missing dots in a 2D distribution of points
awarded: Implicit through Recurrent Points MST (RCR_MST) (May 2009)
Designed a new algorithm for Armonico's breakfast of a distribution center any point in space
dim N: Harmonic Center (d Harm) (May 2009).
Designed three new algorithms for the Theory of Inverse localization, based on the theory of
probability ': Likelihood Maximization Variance (LVM), Negative Exponential Summation
(NES) and Mexican Hat Probability (Prob Mex) (May 2009).
Designed a new algorithm for weight optimization of Meta-Nets, Meta Weights Optimization
(April 2009).
Designed a new algorithm memory self-associated, Activation & Competition System, ACS,
capable of learning the function of Decay for each individual node (March 2009).
Designed a new algorithm called P_FAST. This is a system for pre-processing to translate in
the spatial dimension signals that develop over time. Starting from a metric among those
available in literature (Euclidean distance, linear correlation, etc.). That between those devised
by Semeion (AutoContractiveMap, Prior Probability, etc.).., The application of the Minimum
Spanning Tree (MST) puts in evidence the minimum structure among the variables that make
up the database and the floating window allows to reconstruct the sequence of events in space
in time (March 2009).
Designed a new algorithm, called Semantic TWC, for integration in the semantic part of the
TWC through AutoCM (Feb 2009).
Designed a new algorithm Recursive and Dynamic Meta NET, Meta-Vector (January 2009).
Designed two new algorithms for vector quantification, and AVQ1 AVQ2 for supervised
classification (January 2009).
Designed new algorithms for Meta-Classifiers: Fuzzy Meta, Meta-Einstein, Meta-Expn (Sept.
2008).
Designed a new algorithm called GUACAMOLE (General Unsupervised Adaptive Algorithm
for Modular Organization Classification of Learning evolution), for the use of ANNs car
Associate and Supervisiionate not as effective substitutes for Classificatiori Supervised (May
2008)
Designed a new algorithm for the definition of Topological Weighted Centroid and other
mathematical quantities related: TWC (Alfa), TWC (Beta), TWC (Gamma), TWC_Paths
(January 2008).
Designed a new equation to calculate the topological complexity of a graph: the function H
and Delta H (January 2007).
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Designed a new algorithm for determining the maximally Regular Graph (MRG), from MST
(Feb 2007).
Designed a new image processing system called H-Net, the network-based Auto-CM, the
function H and the MRG. The initial experimental results are encouraging (July 2007).
Designed two new algorithms for metaclassificatori Meta-Sum, Meta and Meta-PPA-AutoCM:
the first with a local calculation of the weights from synthetic results (confusion matrix)
components of the ANNs (Meta-Sum) and the other two with the overall calculation of the
weights the analytical results of all ANNs components (PPA and Meta-Meta-AutoCM) (July
2007).
Designed a new process, called Hidden Input Discovery (HID) aimed at identifying of '"Input
Missing" in a dataset with the dependent variables. The process is capable of improving the
prediction of the dependent variables significantly. We have developed an experimental
software (Ver 1.0 HID), which has allowed us to verify the results that proved immediately
attractive (May 2007).
Designed a new type of clustering called Dynamic Clustering acting through montecarlo
exploration of the space of the attractors of a CS network and / or a network NRC, with
processing of the trajectories sampled through AutoCM sequential, and display of new clusters
using MST, MTG and MRG . The model was implemented in autoassociative SW CS 9.0 and
8.0 (April 2007).
Designed a new classifier called AVQ vector, using the Gauss function, Sigmoid, and Mexican
Hat, and has been implemented in SW Supervised 12.5 (May 2007).
Designed a new Metaclassificatore called Multigen, based on optimization of the thresholds of
the classifier components and deployed it on Supervised SW ver. 11.5 (May 2007)
Designed a new model called the Connect to generate data in the data-mining to discover the
hidden network of connections with respect to a truth established date, the model has been
implemented experimentally on SW Connect 2.0 and 3.0 (March-April 2007).
Designed and programmed networks (SOM SomMax): 1) three criteria for the development of
the Learning Rate (March 2007), 2) establishment of two new types of criteria for analyzing the
complexity of the dataset that the SOM has to learn: Compactness Error Map (MP ) and
centroids Compactness Error (CC). Both implemented on an experimental basis in SW
SomError (March 2007).
Within the study of processes of Imaging has developed the definition of an image as a sparse
graph, whose pruning reveals the deep structure of the image itself and the extent of its
quantity information (March 2007).
Creator of function H (2006-2007) "Hubness global", discovered during the research work
developed on contractive maps and graph theory, with particular attention to MST, but not
limited to the MST, but applies more generally to different types of graphs. In 2007 we have
added three new findings: 1) the new equation with gradient valid for all types of graphs
(January 2007), 2) definition of the Minimum Temporal Graph (MTG), a definition of the
Maximum Regular Graph (MRG) (February 2007) .
Creator of the network AutoCM (2000-2007), whose theoretical inspiration dates back to 1994,
which is a neural network where the learning process occurs through a change of connections
according to the energy minimization, and corresponds to the continuous accelerations and
decelerations of speed of the signal within the matrix of the connections of the network. The
connections of the second layer of the network car-CM (the ones that go from the Hidden
units to units of output) are the point where the energy released by the nodes, from one layer
to another, is trapped. In 2007 the findings of this network are: 1) the iteration of the model
with Aloc AutoCM and CS Batch for validation (January 2007), 2) iteration AutoCM and CS
Batch for dynamic clustering (February 2007), and 3) the 'use of the CS network with optimal
choice of inhibitions AutoCM (January 2007); 4) the spontaneous CS network with choice
attractors (February 2007), 5) use of learned responses to a CS network from a AutoCM that
reusing the CS define the minimum threshold in turn defines the natural clusters of responses
set in the initial phase (March 2007).
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The ACM (Active Connection Matrix) developed since 2003 has had in 2007 the addition of
several discoveries that have extended and improved the functioning of the system, and are
implemented in the latest software versions on: 1) discovery of the parameter Alfa with its
automatic scanning, 2) function of learning and K-means clustering of multiple images
(February 2007).
Creator of method ALOC (At Least One Connection), which allows the connection of data
from different databases. The minimum requirement to run Aloc is the presence of at least one
variable in common between the DB and interact. There is no theoretical limit to the number
of DB that can be connected (June-October 2005).
Creator of J-Net a new algorithm inserted into the ACM system capable of improving the
ability to image processing showing more clearly the definition of the edges, and that lends
itself to useful applications in the field of bio-medical imaging (September 2005 ).
Creator of the method IFAST (Implicit Function As Squashing Time). The method IFAST
multivariate analyzes a sequence of signals, generated from the same source, considering it as a
complex dynamic system asynchronous and non-linear, in which the behavior of each channel
can only be understood in relation to all others. The central idea of the method IFAST is the
belief that a pattern of signals on multiple channels can be summarized by the parameters of
the connections of a neural network AutoAssociata, whose transfer functions are nonlinear
and differentiable at every point (April 2005).
Creator of Top Net systems is the type of dynamic space and time variations ACM, both the
units on the links. The systems were added to the SW version of the seventh ACM (February
2005).
Creator of the operator "Look Around" as the SW optimizer for PST. This operator
evolutionary shifts in the coordinates of each gene map is dynamically projected by PST with a
jump in its reasoned around (January 2005).
Creator of the system Local-Sine, algorithm that allows the analysis of the resonances of the
color images, within the specialized systems for the analysis of the quality of the fabric of the
images. Semeion, September 2004.
Creator of the system called Visual DB to analyze so-Bi Clustering Database with the particular
characteristic of having the number of variables far exceeds the number of records, such as
microarrays, the system allows a completely new way of viewing the matrix representing source from which the database was created. Semeion, March 2004.
Creator of the system called Pop Net, algorithm analysis designed the fabric quality of images.
The model is equipped with 9 perspective views of the way of image processing, and displays,
with three-dimensional effects, the texture of an image showing significant abnormalities.
Semeion, February 2004.
Creator of the system ACM (Active Matrix Connection), for analysis of any phenomenon
whose topology is relevant (eg all visual phenomena at 1, 2 and 3 dimensions). The ACM is a
theory and a method based on the idea that each visual phenomenon as it expresses a specific
geometry. The purpose of ACM is to provide visual event mathematics to dynamically express
its specific geometry, instead of adapting to a geometry already known to the person who
operates analysis. The system ACM contains algorithms that perform different functions:
New-IAC, New CS and PMH designed for the analysis of the edges of the images, Contractive
Maps designed for the image segmentation. For the system ACM has filed a European patent.
Semeion, June 2003.
Creator of a new version of the Bi-Modal ANNs. This version consists in the definition of a
new equation of learning, in such a way that the convergence and the best definition of the
function to compute a complex weighting occurs by means of radial functions and
hyperplanes. Semeion, 2003.
Creator of a new version of the Cross-Over to PST. This new Cross Over for the PST, which
is an optimization problem non-sequential and repetitive, is based on local optimization
instead of the classical random recombination of a pair of individuals. The two individuals
chosen for the marriage are aligned with respect to a gene selected at random and are later
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selected genes from the father or mother, that I better locally-nimizzano the distance between
the real and the assumed distance. Semeion, 2002.
Creator of a new version of MetaGen: this new version is completely different from the
previous one (Buscema, 1997, vd. 7.13). This new release features:
a. SOM algorithm that clusterizza in a grid to 2D data input;
b. GenD an evolutionary algorithm (see 7.12) that associates each cell of the ANN Som:
I. una specifica ANN componente (MetaGen base)
II. a group of ANNs components (MetaGen complex or MultiGen). Semeion, 2002.
Creator of a new version of Metanet: a new architecture and consists of adding an additional
algorithm to define the parameters of Metanet. In classical Metanet (Buscema, 1995, vd. 7.6),
the output of the ANNs input components became Metanet Metanet and weights were trained
locally: each ANN component was defined with specific weights that took into account their
specific capabilities, all was performed with three algorithms to choose from:
a. an algorithm based on the ANN Back Propagation;
b. an algorithm based on ANN car Reflective (see 4.2.30 and 5.14);
c. an algorithm based on optimization of concordance and discordance of Predi-tion of cases
of ANN component testing (called Bayesano). Metanet 2002 presents a new architecture in
which the weights of Metanet are trained globally with all the ANNs components in
parallel. In addition, the three previous algorithms, it was added a fourth based on ANN
Auto Contractive Map (see 5.20) Semeion, 2002.
Creator of a system to generate Virtual Data (X *) from the ANN has learned the function,
where w = parameters. In practice it is the reconstruction of the inverse of any function.
SW Program: Supervised Ver.3.0. Semeion, February 2001.
Creator of a new law learning for ANN defined J-Net. SW Program: Supervised Ver.3.0.
(Reserved). Semeion, November 2000.
Creator of a new law called supervised learning for ANN Contractive Map. SW Program:
Supervised ver.6.45. Semeion, May 2003.
Creator of a new law called for ANN learning Bi-Modal Network. SW Program: Supervised
Ver.3.0. Semeion, November 1999.
Creator of the algorithm for mapping PST so unsupervised in a room for two-dimensions, on
the basis of any dimensionality and complexity. Programme SW: PST. Semeion, October 1999
- 2003.
Creator of the algorithm for mapping PST so unsupervised in a room for two-dimensions, on
the basis of any dimensionality and complexity. Programme SW: PST. Semeion, October 1999
- 2003.
Gen_D optimizer for problems of non-repetitive, like TSP, Buscema etc., 1999c. Programme
SW: Jan 22.c and Gen_FLT 2a.c. Semeion, October 1998.
Creator of an algorithm intertribal coupling between populations with different evolution,
within the GenD. Programme SW: Jan 22.c. Semeion, September 1998.Creator of the system
of equations to extract useful knowledge from contractive maps. Programme SW: contractive
maps, and TP Semeion AutoRicorrenti. Semeion, December 1998.
Creator the system of equations to extract useful knowledge from contractive maps.
Programme SW: contractive maps, and TP Semeion AutoRicorrenti. Semeion, December
1998.
Creator of Dynamic Cluster Recurrent, Recurrent Ann higher order, with connections
belonging to other connections. Programme SW: SQUASH v. 14. Semeion, December 1998.
nventor of Dynamic Cluster Recurrent, Recurrent Ann higher order, with con-nections
belonging to other connections. Programme SW: SQUASH v. 14. Semeion, December 1998
Creator of a new algorithm that allows Recurrent Networks and Cluster AutoRecurrent to
learn the number of feedback with which to learn each new input vector. Semeion, July 1998.
Publication Buscema 1999b
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Creator of a new algorithm that allows Self-Reflexive Networks to learn the level of Free Units
by vector quantification, which is combined with the method of gradient descent. Semeion,
March 1998. Publication in the 1999th Buscema.
Creator of a new algorithm for the Self-Reflexive Networks that allows them to have a new
layer of hidden units, arbitrary cardinality (Free Units), between the hidden layer and the
output. Free Units layer allows the Self-Reflexive Networks clustering and mapping in a nonsupervised data from the input. Semeion, April 1997. Publication in the 1999th Buscema.
Creator of Semeion Net (1997), a new type of organism that can autonomously find the
composition of functions that make it almost a linear function is not linear. In the benchmarks,
Semeion Net has always solved the problem of denial (3 XOR), with only 3 hidden units and
without IO connections, with an average of 6 presentations, the problem of equal to 4, 5 and 6
bits with an average of 8 -9 presentations without ever falling into local minima, and starting
from randomly initialized weights always. Publication reserved. Programme SW: Buscema,
SQUASH, Semeion Software confidence.
Creator of MetaGen (1997), a hybrid system Neural Networks and GenD able to optimize the
connections more Neural Networks, without changing the values of the connections. Internal
publication. Programme SW: Buscema, MetaGen, Semeion Software reserved.
Creator of Gen-D (1997), a new kind of genetic algorithms based on the growth of struc-tural
biodiversity, solidarity towards the weakest and the award of the medium. In the benchmarks,
it has proved more effective measures of several traditional genetic algorithms. Publications in
Buscema 1998. Programme SW: Buscema, Jan 15, Semeion Software reserved.
Creator of a new Neural Network Complainant called Cluster Network (1997). This is an
organization composed of 2 Networks, a network and a classical supervised Self Reflexive
cooperating on a recurring basis, for the problems of recognition and prediction time.
Publications in Buscema 1998. Programme SW: Buscema, SQUASH, Software Semeion No. 5,
1992-1998, Rome.
Creator of a new algorithm for the correction of weights in the networks' Interactive
Activation and Competition (IAC), called algorithm Buscema (1997). Publications in Buscema
1998. Programme SW: G. Massini, IAC, Software Semeion No. 7, 1995-1998, Rome.
Creator of a new neural network called Self Recurrent Recurrent Network (1997). This is a
system capable of dynamically learn the learning of their hidden unit. Publications in Buscema
1998. Programme SW: Buscema, SQUASH, Software Semeion No. 5, 1992-1998, Rome.
Creator of a new adaptive system called "Map contractive" (1997). This is a system capable of
projecting in the space of the weights relations of plasticity and stability of the models of input,
in the form ologrammatica. Internal Publication: 1997 Buscema. Programme SW: Buscema,
CM, Semeion Software reserved.
Creator of 2 new algorithms for backpropagation, the Freud and Jung Rule Rule (1996) to
redistribute the importance of connections in the temporal prediction problems. Publications
in Buscema 1997, 1998. Programme SW: Buscema, SQUASH, Software Semeion No. 5, 19921998, Rome.
Creator of Metanet (1995), a neural network can improve the performance of the N systems
(neural, statistical, etc..) Using as consultants in troubleshooting multi-nomiali. Applied to the
recognition of the defects of steel plates at the Center for Materials Development (Italy).
Publications in Buscema 1998. Programme SW: Buscema, Metanet, Software Semeion No. 9,
1996, Rome.
Creator of a new type of neural network to Recirculation (1991). It is a network to recirculation
able to carry out the convergence by using a single array of connections. Publications in
Buscema 1998. Programme SW: Buscema, SCHEMA, Software Semeion No. 6, 1992-1998,
Rome
Creator of Freezing (1990), an algorithm that can increase the speed of convergence of the
Back Propagation ANN problems with binary output. Publications in Buscema 1994a, 1998.
Programme SW: Buscema, SQUASH, Software Semeion No. 5, 1992-1998, Rome.
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Creator of the Re-Entry (1989), a technique to allow a neural network to make-namic of their
own process of recall. The Re-Entry allows the ANN to reinterpret their responses recursively,
to minimize its internal energy. Publications in Buscema 1994a, 1994b, 1995, 1997 and 1998.
Programme SW: Buscema, SCHEMA, Software Semeion No. 6, 1992-1998, Rome.
Creator of Self Momentum (1989), a new algorithm to improve the learning networks. The Self
Momentum has proved useful in avoiding overfitting of learning. Publications in the 1994th
Buscema (first version), 1997 and 1998 (enhanced version). Programme SW: Buscema,
SQUASH, Software Semeion No. 5, 1992-1998, Rome.
Creator of a new neural network called Self-Reflexive Network (1989), a network capable of
unsupervised learning the spatial and temporal relations between the input patterns.
Publications in 1993 Buscema, 1994b Buscema, Buscema 1995, Buscema Pandin 1996 and
1998 SW Program: Buscema, MAPS, Software Semeion No. 8, 1990-1998, Rome.

Curriculum Vitae of Paolo Massimo Buscema

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