Curriculum vitae of Francesco Camastra

Curriculum vitae of Francesco Camastra
Personal details
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Francesco Camastra.
Polignano, Italy.
January 9th , 1960, Polignano, Italy.
Italian
Unmarried
via G.Longo 5/36, 16155 Genova, Italy.
+39-338-4447991
[email protected]
http://dist.uniparthenope.it/francesco.camastra
Education
• 2004 PhD in Computer Science at DISI, University of Genova.
PhD Thesis: ”Kernel Methods for Unsupervised Learning” defended on
May 28th 2004. Supervisor: Prof. Alessandro Verri.
The thesis was evaluated excellent by the examiners (Professors Vittorio
Murino, Marcello Pelillo, Paola Giannini) and the external reviewer (Dr.
Massimiliano Pontil).
The thesis was awarded with Eduardo R. Caianiello Award 2005, promoted by Italian Neural Network Society, for the best PhD. Thesis in
neural networks and machine learning.
• 1985 M.Sc in Physics at the University of Milan. Mark: 109/110.
• 1979 High school diploma at Liceo Scientifico Sante Simone, Conversano
(Italy). Full marks (60/60)
Current Position
• Ricercatore Universitario Confermato (∼ UK Lecturer) at University of
Napoli Parthenope, Faculty of Science and Technology, Department of
Applied Science.
Research activity
• Since July July 9th 2013 I was Ricercatore Universitario Confermato (∼
Tenured Assistant Professor) at University of Naples Parthenope, Department of Science and Technology.
• From February 1st 2009 to July 8th 2013 I was Ricercatore Universitario Confermato (∼ Tenured Assistant Professor) at University of Naples
Parthenope, Faculty of Science and Technology, Department of Applied
Science.
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• From February 1st 2006 to January 31st 2009 I was Ricercatore Universitario (∼ Assistant Professor) at University of Naples Parthenope, Faculty
of Science and Technology, Department of Applied Science.
• From March 2005 to January 2006 I was professore a contratto (∼ Adjunct
Professor) at University of Pisa (Polo Universitario Marconi della Spezia).
• From January 2001 to May 2004, I was Ph.D. student at Dipartimento
d’Informatica e Scienze dell’Informazione (DISI) of the University of Genova, Italy, under the supervision of the Professor Alessandro Verri. I
worked on Clustering with Kernel Methods.
• From 1997 to 2000 I worked in a 3-year research project (1000K Euro),
funded by Italian University and Scientific Research Ministery, on cursive
handwriting recognition based on neural networks.
• From 1992 to 1995, I worked in the 3-year First National Research Plan for
Bioelectronics (3000K Euro) funded by Italian University and Scientific
Research Ministery. I researched on the application of neural networks for
State Estimation and Identification in thermoelectrical plants, Predictive
Control, Time Series Prediction.
• From May 1987 to January 2006 I was in Elsag spa. (May 1987- March
2000: Central R&D Department; April 2000-January 2006: Automation
Division)
I have 61 publications, consisting in 1 book, 20 articles on international journals, 2 on national journals, 9 on LNCS/LNAI Series, 4 book reviews, 18 on
proceedings of referred conferences, 6 on workshops, 1 PhD Thesis. Many publications can be downloaded from my WWW page. My Research Interests are:
Machine Learning, Clustering Methods, Kernel Methods, Manifold Learning,
Time Series Prediction, Handwriting and Gesture Recognition.
Professional Activities
• Member of the editorial board of
– Computational Intelligence and Neuroscience (Impact Factor=0.596),
Hindawi Publishers, ISSN: 1687-5265
– International Scholarly Research Notices, Hindawi Publishers, ISSN:
2356-7872
– The Scientific World Journal (Impact Factor 2012=1.730), Hindawi
Publishers, ISSN: 1537-744X, since August 2013;
– ISRN Artificial Intelligence, Hindawi Publishers, ISSN: 2090-7435,
from July 2011 to February 2014;
– International Journal of Computational Intelligence Studies, Inderscience Publishers, ISSN: 1745-4985, since May 2008;
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– The Open Artificial Intelligence Journal, Bentham Publishers, ISSN:
1874-0618, Since November 2007;
• Lead Guest Editor of special issue Advances in Computational Methods for Genetic Diseases in Computational and Mathematical Methods
in Medicine (Impact Factor 2014=0.766), Hindawi, ISSN: 1748-670X
• Guest Editor of special issue Advances in Eye Tracking Technology: Theory, Algorithms, and Applications in Computational Intelligence and Neuroscience (Impact Factor 2014=0.596), Hindawi, ISSN: 1687-5265
• I have served as a book reviewer proposal for Springer.
• I served as a grant proposal reviewer for :
– SIR 2014 Program by Italian Ministery of Education and University
and Research (MIUR)
– Futuro in ricerca 2013 Program by Italian Ministery of Education
and University and Research (MIUR)
– the Academy of Sciences of the Czech Republic (proposal A100300702).
– COFUND 2012. INdAM Fellowships in Mathematics and/or Applications cofunded by Marie Curie Actions.
• Member of International Program Committee for:
– ICPRAM 2016 (5th International Conference on Pattern Recognition
Applications and Methods), February, 24-26 2016, Rome, Italyl;
– ICIAP 2015, 18th International Conference, Genova, Italy, September
9-11 2015,
– IWANN 2015, International Work Conference on Artificial Neural
Networks, Mallorca, Spain, June 10-12 2015,
– ICPRAM 2015 (4th International Conference on Pattern Recognition
Applications and Methods), January, 10-12 2015, Lisbon, Portugal;
– ICIAR 2015 (International Conference on Image Analysis and Pattern Recognition), July 22-24, 2015 Niagara Falls, Canada;
– ACCV2014 (12th Asian Conference on Computer Vision), November
1-5 2014, Singapore, Singapore.
– ICIAR 2014 (International Conference on Image Analysis and Pattern Recognition), October 22-24, 2014 Vilamoura, Algarve, Portugal;
– ICANN 2014 (24th International Conference on Artificial Neural Networks), September, 15-19 2014, Hamburg, Germany;
– NN-FS 2014 (The 2014 International Conference on Neural NetworksFuzzy Systems), March 15-17 2014, Venice, Italy;
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– ICPRAM 2014 (3rd International Conference on Pattern Recognition
Applications and Methods), March, 6-8 2014, Angers, France;
– ICANN 2013 (23rd International Conference on Artificial Neural Networks), September, 10-13 2013, Sofia, Bulgaria;
– ACCV2010 (The Tenth Asian Conference on Computer Vision), November 10-12 2010, Queenstown, New Zealand.
– KES2010 (14th International Conference on Knowledge-Based and
Intelligent Information & Engineering Systems), September, 8-10
2010, Cardiff, United Kingdom;
– KES2009 (13th International Conference on Knowledge-Based and
Intelligent Information & Engineering Systems), September 27 - 30
2009, Santiago of Chile, Chile;
• Industrial Liasion Chair of ICIAP 2013, September, 11-13 2013, Napoli,
Italy.
• I have served as a reviewer for the conferences: ICIC 2015, IWANN15,
WIRN2014, ICANN2014, ICIC 2014, ICPR2014, WIRN2013, ICIAP 2013,
ICANN2013, IWANN13, ICIC2013, ICANN2012, ACCV2012, WIRN2012,
ICPR12, ICIC2012, ICIC2011, IWANN11, ACCV2010, INISTA 2010,
KES2010, SOFSEM2010, ACCV2009, KES2009, ICIC2009, IWANN09,
CIBB2008, ICIC2007, IJCNN07, IWANN07, ICPR06, ICANN2002, ICDAR2001, ICANN2000, ICANN1994.
• I have served as a reviewer for the journals:
– ACM Computing Surveys;
– AI Communications;
– Applied Soft Computing
– Artificial Intelligence
– Chaos: An Interdisciplinary Journal of Nonlinear Science;
– Cognitive Neurodynamics
– Computers & Geosciences;
– Computer Vision and Image Understanding;
– Control and Intelligent Systems;
– Cytokine;
– Data and Knowledge Engineering;
– Entropy
– Eurasip Journal on Advances on Signal Processing;
– Expert Systems with Applications
– IEEE Signal Processing Letters;
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– IEEE Transactions on Biomedical Engineering;
– IEEE Transactions on Image Processing;
– IEEE Transactions on Knowledge and Data Engineering;
– IEEE Transactions on Neural Networks;
– IEEE Transactions on Pattern Analysis and Machine Intelligence;
– IEEE Transactions on Signal Processing;
– IEEE Transactions on Systems Man Cybernetics-B ;
– IET Computer Vision;
– Information Processing and Management;
– Information Sciences;
– International Journal of Neural Systems;
– Journal of Artificial Intelligence Research;
– Journal of Classification;
– Journal of Intelligent and Fuzzy Systems;
– Journal of Machine Learning Research;
– Journal of Visual Communication and Image Representation;
– Journal of Zhejiang University-SCIENCE A;
– Machine Learning;
– Neural Processing Letters;
– Neural Computation;
– Neural Computing and Applications;
– Neurocomputing;
– Pattern Recognition;
– Pattern Recognition Letters;
– Theoretical Computer Science;
– The Scientific World Journal ;
• External Examiner of Ph.D. Theses by Claudio Ceruti, Rocco De Rosa,
Giorgio Martaló (Ph.D. in Mathematics and Statistics for Computational
Sciences) defended on December, 16th 2014.
Professional Societies Affiliation
• IEEE Member (number: 80038627);
• IEEE Computational Intelligence Society;
• Italian Neural Network Society (SIREN );
• Italian Group of Researchers in Pattern Recognition (GIPR).
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Supervision Activity in the University
• I supervised the following M. Sc. Theses:
– ”Categorizzazione di pagine web mediante grafo semantico e tecniche
di machine learning ” (in Italian) by Alessio Placitelli (joint supervision with A. Ciaramella), defended on June 19 2013.
• I supervised the following B. Sc. Theses:
– ”Metodi di Apprendimento Automatico per la computer security” (in
Italian) by Luca Iannelli, defended on July 15 2015;
– ”Metodi computazionali per lo studio delle malattie genetiche” (in
Italian) by Dario Forte, defended on April 27 2015;
– ”Sviluppo ed Implementazione in FPGA di un Algoritmo di Beamforming per Antenna Acustica” (in Italian) by Alessio Netti, defended
on March 26 2015;
– ”X3D: Uno standard per la costruzione di mondi virtuali” (in Italian)
by Simone Bernard, defended on July 22 2014;
– ”Sviluppo di un’ applicazione di Realt’a Virtuale, per fini didattici,
basato su Kinect” (in Italian) by Tiziana Ercolani, defended on April
28 2014;
– ”Un Riconoscitore di Gesti, per fini didattici, basato su Kinect” (in
Italian) by Liliana Romano, defended on April 28 2014;
– ”Rappresentazione, in Realtá Virtuale, dello stabile del Corso di Laurea In Informatica dell’ Universitá Parthenope” by Rosario Russo,
defended on December 18 2013;
– ”Sviluppo di moduli di un sistema di controllo di gestione di commessa
in un’ azienda” (in Italian) by Gennaro D’Onofrio, defended on September 23 2013;
– ”Un sistema di ausilio alla valutazione del rischio ambientale degli
organismi geneticamente modificati” (in Italian) by Gaetano Tortora,
defended on September 20 2012;
– ”Un Riconoscitore di Gesti, per fini didattici, basato su data glove”
(in Italian) by Domenico De Felice, defended on September 21 2011;
– ”Handy: Riconoscimento di semplici gesti mediante Webcam” (in
Italian) by Luigi Lamberti, defended (full marks cum laude) on September 21 2010;
– ”La classificazione automatica di testi” (in Italian) by Leopoldo Petricelli, defended on December 18 2007;
– ”Sviluppo di un archivio WEB di pubblicazioni scientifiche” (in Italian) by Mauro Mandaglio, defended on October 25 2007.
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• I am supervising the following M. Sc. Thesis:
– Domenico De Felice
• I am supervising the following B. Sc. Thesis:
– Raffaele Graviero
– Francesco Lombardi
– Francesco Tarallo
– Simone Starace
• I supervised the following TFA Dissertations by:
– Mattia Amato, Andrea Barbato, Angelo Barone, Crescenzo Diomaiuta,
Raffaele Parisi, defended on July 17 2015;
– Luciano Blandi, Gregory Casanova, Sonia Dal Vacchio, Mario Di
Mauro, Paolo Di Napoli, Annamaria Inserra defended on July 16
2013;
• I supervised the following PAS Dissertations by: Agata Aurilio, Maria
Rosaria Catapano, Raffaele Diomajuta, Rossella Ferraro, Cinzia Matarese
defended on July 15 2014;
• I was opponent of the following M. Sc. Thesis:
– Mario Eduardo Maresca, defended on December 18 2014;
– Roberto Melfi, defended on May 26 2014;
– Gennaro Luca Russo, defended on December 18 2013;
– Alfredo Starace defended on March 21 2013;
– Pasquale Massaro defended on December 18 2012;
Teaching Activity in the University
• I taught the following undergraduate courses:
– Laboratory of Multimedia Systems at University of Naples ”Parthenope”
(3 credits) (24 hours + supervision of exam projects of undergraduate students) (2nd year M.Sc. Computer Science): Academic Years
2009/10 (5 students), 2010/11 (4 students), 2011/12 (1 student),
2012/13 (7 students), 2013/14 (5 students), 2014/15 (5 students);
– Laboratory of Algorithms and Data Structures at University of Naples
”Parthenope” (48 hours + supervision of exam projects of undergraduate students) (2nd year B. Sc. Computer Science): Academic Years
2006/07 (80 students), 2007/2008 (110 students), 2008/09 (70 students), 2009/10 (70 students) , 2010/11 (60 students), 2011/12 (70
students), 2012/13 (70 students), 2013/14 (70 students), 2014/145
(70 students);
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– Multimedia Systems at University of Naples ”Parthenope” (6 credits)
(48 hours + supervision of exam projects of undergraduate students)
(2nd year M.Sc. Computer Science): Academic Years 2005/06 (3
students) and 2006/07 (6 students);
– Virtual Reality at University of Naples ”Parthenope” (6 credits) (48
hours + supervision of exam projects of undergraduate students)
(3rd year B.Sc. Computer Science): Academic Years 2008/09 (20
students), 2009/10 (10 students), 2011/12 (14 students) and 2012/13
(6 students), 2013/14 (6 students), 2014/15 (9 students);
– Multimedia Data Base and Laboratory at University of Naples
”Parthenope” (9 credits) (72 hours + supervision of exam projects of
undergraduate students) (2nd year M.Sc. Computer Science): Academic Years 2007/08 (4 students) and 2008/09 (3 students);
– Technologies for Image and Audio Signal Processing in Information
Systems (21 hours + supervision of exam projects of undergraduate students) (3rd year B.Sc. Computer Science): Academic Year
2004/05 (11 students) at University of Pisa (Polo Universitario Marconi della Spezia);
• I taught the following graduate course for Secondary School Teachers
(TFA):
– Teaching for Computer Science Foundations (18 hours), March-April
2013, Academic Years 2012/13, 2014/15.
• I taught the following graduate course in Percorsi Abiloitanti Speciali
(PAS):
– Teaching for Computer Science Foundations (18 hours), March-June
2014, Academic Year 2013/14
• I was Manager Didattico of Percorsi Abilitanti Speciali (PAS) (Class A042)
Academic Year 2013/14
• Since October 2008 I have been in the commission for student stages in
companies.
• I was member of the examination board for the admission of TFA (Training for Secondary School Teachers) in Computer Science at University of
Naples Parthenope
Teaching Activity in the Industry
• Course on Support Vector Machines: Theory and Applications (4 hours),
held at Centro Italiano Ricerche Aerospaziali (CIRA), Capua, Italy, July
2010.
• Course on Algorithms and Methods for OCR (24 hours), held at Central
Technical Direction of Poste Italiane, Rome, Italy, October 2003.
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• Course on Historical Data Series Prediction (4 hours), Master in Intelligence and Security, held at Link Campus University of Malta, Rome,
Italy, March 2003.
• Course on Clustering algorithms and Time series prediction (14 hours)
for graduate students of the Italian Second National Research Program on
Microelectronics and Bioelectronics, Genova, Italy, December 2001.
Invited Lectures
• Invited lecture on A Novel Kernel Method for Clustering, Department of
Computer Science, Royal Holloway University of London, Egham, UK,
September 14 2005.
• Eduardo R. Caianiello Lecture on Kernel Methods for Clustering, 16th
Workshop of Italian Neural Network Society (WIRN05), Vietri sul Mare,
Italy, June 10 2005.
• Invited lecture on Kernel Methods for Clustering, Department of Applied
Sciences, University of Naples ”Parthenope”, Naples, Italy, June 9 2005.
• Invited lecture on A Novel Kernel Method for Clustering, Department of
Computer Science, University of York, York, UK, February 23 2005.
• Invited lecture on Neural short-term prediction based on dynamics reconstruction, held at IDIAP, Martigny, Switzerland, October 2000.
• Invited lecture on Prediction Methods held at IESI Institute of the Italian
National Research Council, Bari, Italy, January 1996.
Attended Schools and Courses
• Bioinformatics and Machine Learning, University of Naples Parthenope,
P. Baldi (lecturer), September 26th -27th , 2006.
• Principles of NonParametric Learning, International Centre for Mechanical Studies (CISM), N. Cesa Bianchi, L. Devroye, L. Gyorfi, M. Kohler,
G. Lugosi, M. Sebag (lecturers), Udine, Italy, July 9th -14th , 2001.
• NATO-ASI school Learning in Graphical Models, M.I. Jordan and D.
Heckerman (directors), Erice, Italy, 27th September -8th October, 1996.
• 2-week course on Statistic Learning Theory, F. Girosi and V. Vapnik (lecturers), DIST University of Genova, Genova, Italy, June 1994.
• NATO-ASI school From Statistics to Neural Networks, V. Cherkassky, H.
Wechsler and J. Friedman (directors), Les Arcs, France, June 21st - July
2nd 1993.
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Awards and Honors
• inclusion in Top Reviewers of Pattern Recognition Letters, in the period
2008-2012.
• Recipient of PR awards 2008, with M. Filippone, F. Masulli, S, Rovetta,
as coauthor of the paper ”A survey on spectral and kernel methods for
clustering”, awarded as the best paper published on Pattern Recognition
in the year 2008.
• Recipient of the Eduardo R. Caianiello Award 2005, promoted by Italian
Neural Network Society, for the best PhD. Thesis in neural networks and
machine learning.
• inclusion in Marquis Who’s Who in the World (since 2003 edition) and in
Who’s Who in Science and Engineering (since edition 2005-2006).
• Recipient of the Errico Award 1979 for excellence in studying in high
school (best student, born in Polignano, in Liceo Scientifico Sante Simone)
• Recipient of the Errico Award 1975 for excellence in studying in high
school (best student, born in Polignano, in Liceo Scientifico Sante Simone)
Software Packages and Databases
• I developed, with M. Spinetti and A. Vinciarelli, C-Cube (which can be
downloaded from ccc.idiap.ch), a public-domain database of offline cursive characters.
• I contributed, with M. Filippone, F. Masulli and S. Rovetta, to the development of FORECAST, a package, written in R language, for regression
and time series prediction.
Software Development Experience
• Programming Languages: C, C++, Java, VRML, X3D, Fortran, Pascal,
APL, Prolog.
• Experience on the following Operative Systems: Linux, WindowsXP, Windows Vista.
• Mathematical toolboxes: Mathematica, R language, Matlab.
Other
• The number of citations of my papers is:
– Scholar Google: 1691 (H-index= 14)
– Scopus Elsevier: 960 (H-index= 10) (without self-citations)
– WOS-ISI Thomson: 649 (H-index=9) (without self-citations)
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• My Erdös number is 5.
(Path: P. Kainen, V. Kurkova, M. Sanguineti, R. Zoppoli)
Languages
• English: fluent
• French: spoken: good, written: adequate.
• Italian: fluent (native speaker)
• German: poor.
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Reference Names
Professor Francesco Masulli
DISI Dept., University of Genova,
via Dodecaneso 35, 16146 Genova, Italy
[email protected]
Tel: +39-010 353 6604 Fax: +39-010-3536699
Dr. Alessandro Vinciarelli
IDIAP Research Institute
Centre du Parc, Rue Marconi 19, CP592 1920 Martigny, Switzerland
[email protected]
Tel: +41-27 7217724 Fax: +41-27 7217712
Professor Alessandro Verri
DISI Dept., University of Genova,
via Dodecaneso 35, 16146 Genova, Italy
[email protected]
Tel: +39-010 353 6601 Fax: +39-010-3536699
Dr. Daniele Ugolini
EC-JRC Ispra
Via Enrico Fermi 1
21020 Ispra (VA), Italy
Tel: +39-0332-783 595
[email protected]
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Publications
Books (2)
1. F. Camastra, A. Vinciarelli, Machine Learning for Image, Video and
Audio Analysis-Theory and Applications, Second Edition, Advanced Information and Knowledge Processing Series, Springer, ISBN 978-1-44716734-1, (2015)
2. F. Camastra, A. Vinciarelli, Machine Learning for Image, Video and Audio Analysis-Theory and Applications, Advanced Information and Knowledge Processing Series, Springer, ISBN 978-1-84800-006-3, December 2007,
(2007) (Scholar Google: 87 citations).
• Chapter 6: Clustering (Scholar Google: 4 citations)
• Chapter 10: Markovian Models for Sequential Data (Scholar Google:
4 citations; Scopus: 4 citations).
• Chapter 13: Automatic Face Recognition (Scholar Google: 2 citations)
• Chapter 14: Video Segmentation and Keyframe Extraction (Scholar
Google: 4 citations).
International Journals (20)
3. F. Camastra, A. Staiano, Intrinsic Dimension Estimation: Advances and
Open Problems, Information Sciences (IF 2014=4.038), 328, 20 January
2016, 26-41, Elsevier, (2016).
4. F. Camastra, R. Amato, M.D. Di Taranto, A. Staiano, Advances in Computational Methods for Genetic Diseases, Editorial, Computational and
Mathematical Methods for Medicine (IF 2014=0.766), Article ID 645649,
1-2, Volume 2015, Hindawi, (2015).
5. F. Camastra, M.D. Di Taranto, A. Staiano, Computational and Statistical Methods for Genetic Diseases: an Overview, Computational and
Mathematical Methods for Medicine (IF 2014=0.766), Article ID 954598,
1-8, Volume 2015, Hindawi, (2015).
6. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A.
Staiano, G. Staiano, A. Starace, A Fuzzy Decision System for Genetically
Modified Plant Environmental Risk Assessment using Mamdani Inference,
Expert System with Applications (IF 2014=2.240), 42(3), 16 February
2005, 1710-1716, ISSN: 0957-4174, Elsevier, (2015) (Scholar Google: 9
citations; Scopus: 7 citations, ISI-WEB: 5 citations).
7. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A.
Staiano, G. Staiano, A. Starace, TERA: A Tool for the Environmental
Risk Assessment of Genetically Modified Plant, Ecological Informatics
(IF 2014=1.727), 24, 186-193, November 2014, ISSN: 1574-9541, Elsevier,
(2014).
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8. F. Camastra, A. Ciaramella, A. Staiano, A note on some mathematical models of exposure to Bt-maize pollen, Ecological and Environmental
Statistics (IF 2014= 0.925), 21(3), 477-485, 15 August 2014, ISSN: 13528505, Springer (2014) (Scholar Google: 2 citations; Scopus: 2 citations,
WOS-ISI: 2 citations).
9. F. Camastra, A. Ciaramella, A. Staiano, Machine Learning and Soft
Computing for ICT Security: an Overview of Current Trends, Journal
of Ambient Intelligence and Humanized Computing, 4(2), 235-247, April
2013, ISSN: 1868-5137, Springer (2013) (Scopus: 7 citations, Scholar
Google: 12 citations, ISI-WEB: 4 citations).
10. L. Lamberti, F. Camastra, Handy: A Real-time Color Glove-based Gesture Recognizer with Learning Vector Quantization, Expert Systems with
Applications (IF 2012= 1.854), 36(12), 10489-10494, 15 September 2012,
ISSN: 0957-4174, Elsevier (2012) (Scholar Google: 14 citations; Scopus: 7
citations; WOS-ISI: 7 citations).
11. F. Camastra, M. Filippone, A Comparative Evaluation of Nonlinear Dynamics Methods for Time Series Prediction, Neural Computing and Applications (IF 2009= 0.812), ISSN: 0941-0643, 18(8), 1021-1029, November
2009, Springer (2009) (Scholar Google: 12 citations; Scopus: 7 citations;
WOS-ISI: 6 citations).
12. F. Camastra, A SVM Greek Character Recogniser, International Journal
of Intelligent Defence Support Systems, ISSN: 1872-4981, 1(4), 290-299,
InderScience, 2008, (2008) (Scholar Google: 1 citation, Scopus: 1 citation).
13. M. Filippone, F. Camastra, F. Masulli, S. Rovetta. A survey on spectral
and kernel methods for clustering, Pattern Recognition (IF 2008= 3.279),
ISSN: 0031-3203, 41(1), 176-190, January 2008, Pergamon, (2008) (Scholar
Google: 518 citations; Scopus: 329 citations; WOS-ISI: 209 citations) (The
paper was awarded with PR award 2008 that selects the best manuscript
published on Pattern Recognition in the year 2008).
14. F. Camastra, A SVM-based cursive character recognizer, Pattern Recognition (IF 2007= 2.019), ISSN: 0031-3203, 40(12), 3721-3727, December
2007, Pergamon, (2007) (Scholar Google: 81 citations; Scopus: 49 citations; WOS-ISI: 32 citations).
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15. F. Camastra, A. Verri, A Novel Kernel Method for Clustering, IEEE
Transaction on Pattern Analysis and Machine Intelligence (IF 2005= 3.810),
ISSN: 0162-8828, 27(5), 801-805, May 2005, IEEE Computer Society,
(2005) (Scholar Google: 272 citations; Scopus: 191 citations; WOS-ISI:
128 citations).
16. F. Camastra, Data Dimensionality Estimation Methods: A Survey, Pattern Recognition (IF 2003= 1.611), ISSN: 0031-3203, 36(12), 2945-2954,
December 2003, Pergamon, (2003) (Scholar Google: 185 citations; Scopus:
110 citations; WOS-ISI: 81 citations).
17. F. Camastra, A. Vinciarelli, Combining Neural Gas and Learning Vector Quantization for Cursive Character Recognition, Neurocomputing (IF
2003= 0.592), ISSN: 0925-2312, 51C, 147-159, April 2003, Elsevier, (2003)
(Scholar Google: 38 citations; Scopus: 31 citations; WOS-ISI: 22 citations).
18. F. Camastra, A. Vinciarelli, Estimating Intrinsic Dimension of Data
with a Fractal-Based Method, IEEE Transaction on Pattern Analysis and
Machine Intelligence (IF 2002= 2.923), ISSN: 0162-8828, 24(10), 14041407, October 2002, IEEE Computer Society, (2002) (Scholar Google: 185
citations; Scopus: 106 citations; WOS-ISI: 74 citations).
19. F. Camastra, A. Vinciarelli, Intrinsic Dimension Estimation of data:
An approach based on Grassberger-Procaccia Algorithm, Neural Processing
Letters (IF 2001= 0.379), ISSN: 1370-4621, 14(1), 27-34, August 2001,
Springer Netherlands, (2001) (Scholar Google: 52 citations; Scopus: 25
citations; WOS-ISI: 22 citations).
20. F. Camastra, A. Vinciarelli, Cursive Character Recognition by Learning
Vector Quantization, Pattern Recognition Letters (IF 2001= 0.552), ISSN:
0167-8655, 22(6-7), 625-629, April 2001, Elsevier (2001) (Scholar Google:
46 citations; Scopus: 30 citations; WOS-ISI: 25 citations).
21. F. Camastra, A. Vinciarelli, Isolated Cursive Character Recognition based
on Neural Nets, Kunstliche Intelligenz, ISSN: 0933-1875, 13(2), 17-19,
June 1999, (1999) (Scholar Google: 4 citations; Scopus: 2 citations)
22. F. Camastra, A.M. Colla, Neural short-term prediction based on dynamics reconstruction, Neural Processing Letters (IF 2000= 0.365), ISSN:
1370-4621, 9(1), 45-52, February 1999, Springer Netherlands, (1999) (Scholar
Google: 22 citations; Scopus: 19 citations; WOS-ISI: 12 citations).
National Journals (2)
23. M. Barabino, S. Bruzzo, F. Camastra, A.M. Colla, S. D’imporzano, D.
Laudato, A. Mella, Applicazione della reti neurali per il controllo avanzato
on-line su impianto (in Italian), Automazione e Strumentazione, ISSN:
0005-1284, 97-102, February 1996, (1996).
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24. M. Barabino, N. Bonavita, S. Bruzzo, F. Camastra, A.M. Colla, Stima
Neurale dello Stato di una linea A.P. di Preriscaldo (in Italian), Automazione e Strumentazione, ISSN: 0005-1284, 97-103, May 1995, (1995).
Book Reviews (4)
25. F.Camastra, Book Review: Image Processing: Principles and Application by Tinku Acharaya, Ajoy K. Ray, IEEE Transaction on Neural Networks (IF= 2.205), ISSN: 1045-9227, 18(2), 610-610, March 2007, (2007)
(Scholar Google: 2 citations; Scopus: 2 citations).
26. F. Camastra, Book Review: Nonlinear Predictive Control Theory and
Practice by B. Kouvaritakis and M. Cannon, IEEE Transaction on Neural Networks (IF= 2.205), ISSN: 1045-9227, 17(2), 535-535, March 2006,
(2006).
27. F. Camastra, Book Review: Differential Neural Networks for Robust
Nonlinear Control by A.S. Poznyak, E.N. Sanchez and Wen Yu, IEEE
Transaction on Neural Networks (IF= 2.205), ISSN: 1045-9227, 15(1),
226-227, January 2004, (2004).
28. F. Camastra, Book Review: Information dynamics: foundations and
applications by G. Deco and B. Schurmann, IEEE Transaction on Neural Networks (IF= 2.205), ISSN: 1045-9227, 13(5), 1251-1252, September
2002, (2002).
Springer LNCS/LNAI Series (9)
29. F. Camastra, Dimensionality Estimation: Achievements and Challanges,
in F. Masulli, A. Petrosino, S. Rovetta, Clustering High-Dimensional
Data, International Workshop on Clustering High-Dimensional Data (CHDD12),
May 15th 2012, Naples, Italy, , Lectures Notes on Artificial Intelligence
Series 7627, 87-101, (2015).
30. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, S.
Sposato, A. Staiano, G. Staiano, A. Starace, Rule Learning in a Fuzzy Decision Support System for the Environmental Risk Assessment of GMOs,
in F. Masulli, G. Pasi, R. Yager (eds.), WILF 2013, Genova, November,
19-21, 2013, Lectures Notes on Artificial Intelligence Series 8256, 226-233,
Springer, (2013), (Scholar Google: 1 citation).
31. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A.
Staiano, G. Staiano, A. Starace, Environmental Risk Assessment of Genetcally Modified Organisms by a Fuzzy Decision Support System, in A. Petrosino, L. Maddalena, P. Pala (eds.), New Trends in Image Analysis and
Processing- ICIAP 2013, Lectures Notes on Computer Science Series 8158,
428-435, Springer, ISBN: 978-3-642-41189-2 , (2013), (Scholar Google: 1
citation).
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32. L. Lamberti, F. Camastra, Real-time Hand Gesture Recognition using
a Color Glove in G. Maino and G. L. Foresti (eds.) Image Analysis and
Processing - ICIAP 2011, 16th International Conference, Ravenna, Italy,
September 14-16 2011, PART I, Lectures Notes on Computer Science Series 6978, 365-373, Springer, ISBN: 978-3-642-24084-3, (2011) (Scholar
Google: 36 citations; Scopus: 6 citations, ISI-WEB: 4 citations).
33. F. Camastra, A. Petrosino, Kernel Methods for Graphs: A comprehensive Approach in I. Lovrek, R.J. Howlett, L. Jain (eds.) KES 2008, PART
II, Lecture Notes on Artificial Intelligence Series 5178, 662-668, Springer,
ISBN: 978-3-540-85564-4 (2008) (Scholar Google: 9 citations; Scopus: 4
citations; WOS-ISI: 2 citations).
34. F. Camastra, Handwritten Greek Character Recognizer with Learning
Vector Quantization, in B. Apolloni, R.J. Howlett, L. Jain (eds.) KES
2007/WIRN 2007, PART III, Lecture Notes on Artificial Intelligence Series no. 4694, 267-274, Springer, ISBN: 978-3-540-74828-1, (2007).
35. F. Camastra, M. Filippone, SVM-based Time Series Prediction using
Nonlinear Dynamics Methods, in B. Apolloni, R.J. Howlett, L. Jain (eds.)
KES 2007/WIRN 2007, PART III, Lecture Notes on Artificial Intelligence Series no. 4694, 300-307, Springer, ISBN: 978-3-540-74828-1, (2007)
(Scholar Google: 6 citations; Scopus: 3 citations; WOS-ISI: 2 citations).
36. F.Camastra, Kernel Methods for Clustering, in B. Apolloni, M. Marinaro, G. Nicosia and R. Tagliaferri (eds.) Proceedings of 16th Workshop
of Italian Neural Network Society (WIRN05), pp. 1-9, June 8-10 2005, Vietri sul mare, Italy, Lectures Notes on Computer Science Series no. 3931,
Springer (invited paper, as recipient of Eduardo R. Caianiello Award
2005), ISBN: 3-540-33183-2, (2006) (Scholar Google: 9 citations; Scopus:
4 citations; WOS-ISI: 2 citations).
37. F. Camastra, A.M. Colla, Short-term Load Forecasting based on Correlation Dimension Estimation and Neural Nets, in W. Gerstner, A. Germond,
M. Hasler and J.D. Nicoud (eds.) proc. of 7th International Conference
on Artificial Neural Network (ICANN 97), 1035-1040, Lausanne, Switzerland, October 8th -10th 1997, Lectures Notes on Computer Science Series
no. 1327, Springer, ISBN: 3-540-63631-5, (1997) (Scholar Google: 3 citations).
International Refereed Conferences (18)
38. A. Netti, G. Diodati, F. Camastra, V. Quaranta, A FPGA implementation of a real-time filter and sum Beamformer for Acoustic Antenna, in
INTER-NOISE and NOISE-CON Congress and Conference Proceedings,
August 9-12 2015, San Francisco, USA, 250(3), 3458-3469, Institute of
Noise Control Engineering, (2015).
17
39. F. Camastra, A. Ciaramella, A. Placitelli, A. Staiano, Machine Learningbased Web Pages Categorization by Semantic Graphs, in S. Bassis, A.
Esposito, F. C. Morabito (eds.), Advances in Neural Networks: Computational and Theoretical Issues proc. of 25th Workshop of Italian Neural
Network Society (WIRN 2014), May 15-16 2014, Vietri sul Mare, Salerno,
Italy, Smart Innovation, System and Technologies, 27, 75-82, Springer,
ISBN: 978-3-319-18163-9 (2015) (Scholar Google: 1 citation).
40. F. Camastra, A. Ciaramella, V. Giovannelli, M. Lener, V. Rastelli, A.
Staiano, G. Staiano, A. Starace, A Fuzzy Decision Support System for the
Environmental Risk Assessment of Genetically Modified Organisms, in S.
Bassis, A. Esposito, F. C. Morabito (eds.), Recent Advances of Neural Network Models and Applications, proc. of 24th Workshop of Italian Neural
Network Society (WIRN 2013), May 23-25 2013, Vietri sul Mare, Salerno,
Italy, Smart Innovation, System and Technologies, 26, 241-249, Springer,
ISBN: 978-3-319-04128-5 (2014) (Scholar Google: 3 citations; Scopus: 1
citation).
41. F. Camastra, L. De Felice, A LVQ-based Hand Gesture Recognizer using a Data Glove, in B. Apolloni, S. Bassis, A. Esposito, F.C. Morabito
(eds.), Neural Nets and Surroundings, Proc. of 23rd Workshop of Italian
Neural Network Society, WIRN12, May 17-19, Vietri sul Mare, Salerno,
Italy, Smart Innovation, System and Technologies, 19, 159-168, Springer,
ISBN: 978-3-642-35466-3, (Scholar Google: 8 citations, Scopus: 4 citations), (2013).
42. F. Camastra, M. Spinetti, A. Vinciarelli, Cursive Character Challange:
A New Benchmark for Machine Learning and Pattern Recognition Algorithms, Proc. of. 18th International Conference on Pattern Recognition
(ICPR06), Vol. II, pp. 913-916, IEEE Press, ISBN: 0-7695-2521-0, (2006)
(Scholar Google: 24 citations, Scopus: 16 citations, WOS: 5 citations).
43. F.Camastra, A.Verri, A Novel Kernel Method for Clustering, in B. Apolloni, M. Marinaro and R. Tagliaferri (eds.) Biological and Artificial Intelligence Environments. Proc. of 15th Workshop of Italian Neural Network
Society WIRN04, September 14th -17th 2004, Perugia, Italy, Springer, pp.
245-250, ISBN: 1402034318, (2005) (short version of [9]).
44. F. Camastra, A. Vinciarelli, A Neural Cursive Character Recognizer, in
M. Marinaro and R. Tagliaferri (eds.) proc. of 12th Workshop of Italian
Neural Network Society (WIRN01), May 17th -19th 2001, Vietri sul Mare,
Italy, 172-177, Perspectives in Neural Computing Series, Springer, ISBN:
1-85233-505-X, (2001) (Scholar Google: 1 citation)
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45. C. Scagliola, G. Nicchiotti, F. Camastra, Enhancing cursive word recognition performance by the integration of all the available information, in
L.R. Schoemaker and S. Impedovo (eds.) proc. of 7th International Workshop on Frontiers in Handwriting Recognition (7th IWFHR), 363-372, Amsterdam, September 11th -13th , 2000 (2000) (Scholar Google: 7 citations;
Scopus: 3 citation).
46. F. Camastra, E. Cepollina, A.M. Colla, Word Recognition by MLP-based
Character Spotting and Dynamic Programming, in M. Marinaro and R.
Tagliaferri (eds.) proc. of 9th Workshop of Italian Neural Network Society
(WIRN97), May 22nd - 24th 1997, Vietri sul Mare, Italy, pp. 183-188,
Perspectives in Neural Computing Series, Springer, ISBN: 3-540-76157-8,
(1997) (Scholar Google: 2 citations).
47. S. Bruzzo, F. Camastra, A.M. Colla, M. Rosso, M. Mazzotti, M. Morbidelli, A. Beltramini, Simulation and Neural Estimation of Desalination
Process in proc. of 27th International Conference AUTOMATION96,
November 26th - 28th 1996, Milan, Italy (1996).
48. M. Barabino, S. Bruzzo, F. Camastra, A.M. Colla, Neural Nets for hybrid on-line plant in M. Marinaro and R. Tagliaferri (eds.) proc. of 8th
Workshop of Italian Neural Network Society (WIRN96), May 23rd -25th
1996, Vietri sul mare, Italy, 239-244, Perspectives in Neural Computing
Series, Springer, ISBN: 3-540-76099-7, (1996).
49. M. Barabino, S. Bruzzo, F. Camastra, A.M. Colla, Neural hybrid on-line
controllers in proc. of IEEE Mediterrean Symposium on New Direction on
Control and Automation (MSCA’96), 11-16, June 10th -13th 1996, Maleme,
Krete, Greece (1996).
50. S. Bruzzo, F. Camastra, A.M. Colla, Estimation of unmeasurable variables in a dynamical system by Resource Allocating Network, in proc. of
the IEEE Symposium on Circuits and Systems (ISCAS 95), 1712-1715,
Seattle, USA, April 29th - May 3rd 1995, IEEE, ISBN: 0-7803-2570-2,
(1995) (Scholar Google: 2 citations).
51. S. Bruzzo, F. Camastra, A.M. Colla, M. Barabino, N. Bonavita, Neuralbased Forecasting of Physical Measures in a Power Plant, in M. Marinaro
and R. Tagliaferri (eds.) proc. of 7th Workshop of Italian Neural Network
Society (WIRN95), Vietri sul Mare, Italy, May 18th - 20th 1995, World
Scientific Publishing, ISBN: 981-02-2603-9, (1995).
52. M. Barabino, N. Bonavita, S. Bruzzo, F. Camastra, A.M. Colla, Neural
State Estimators in a Power Plant in proc. of AMCA/IEEE International
Workshop on Neural Networks Applied to Control and Image Processing
(NNACIP94), Mexico-City, Mexico, November 7th - 11th 1994 (1994).
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53. M. Barabino, N. Bonavita, S. Bruzzo, F. Camastra, A.M. Colla, Neural
Networks for State Estimation in a H.P. Feedwater Line in proc. of 38th
conference of the Italian Association for the Automation (ANIPLA94),
October 1994, Perugia, Italy (1994).
54. M. Barabino, N. Bonavita, S. Bruzzo, F. Camastra, A.M. Colla, T.
Parisini, R. Zoppoli, Continuous Process State Estimation by Neural Nets:
A case study in a power plant, in M. Marinaro and P.G. Morasso (eds.)
proc. of the International Conference on Artificial Neural Networks
(ICANN’94), Sorrento, Italy, May 26th - 29th 1994, 1231-1234, Springer,
ISBN: 0-387-19887-3, (1994).
55. F. Camastra, A. Della Ventura, P. Mussio, A. Rampini, Object’s Location and Description in Natural Images in V. Cappellini and R. Marconi
(eds.), in proc. of International Conference Advances in Image Processing
and Pattern Recognition, December 10th -12th 1985, Pisa, Italy, Elsevier,
ISBN: 0-444-70068-4, (1985).
Workshops (6)
56. A. Petrosino, F. Camastra, A. Ciaramella, A. Ferone, L. Maddalena,
A. Maratea, A. Staiano, ”MACHINE LEARNING AND COMPUTER
VISION AT UNIPARTHENOPE: 2008-2009 ACTIVITIES”, in proc of
GIRPR 2010, June 18th − 20th 2014, Marina di Ascea (Salerno).
57. A. Petrosino, F. Camastra, A. Ciaramella, A. Ferone, L. Maddalena, A.
Maratea, G. Salvi, A. Staiano, ”COMPUTER VISION AND PATTERN
RECOGNITION @ CVPRLAB-UNIPARTHENOPE”, in proc of GIRPR
2014, June 10th − 11th 2010, Marina di Ascea (Salerno).
58. F. Camastra and A.M. Colla, A comparison of MLP and ARMA models
for Electrical Load Forecasting in A.M. Colla, E. Pessa, R. Pessa (eds.)
proc of 3rd SIREN Workshop on Evaluation criteria of neural net efficiency in industrial applications, December 5th 1997, Vietri sul Mare,
Italy (1997).
59. F. Camastra, S. Bruzzo, P. Pedrazzi, A.M. Colla, Efficacy of Linear
Principal Component Analysis in Different Application Fields, in A.M.
Colla, E. Pessa, R. Serra (eds.) proc. of 2nd SIREN Workshop on Evaluation criteria of neural net efficiency in industrial applications, December
10th 1996, Vietri sul Mare, Italy (1996).
60. M. Barabino, S. Bruzzo, F. Camastra, A.M. Colla, Neural Nets applications in power plants: an industrial experience in A.M. Colla, E. Pessa,
R. Serra (eds.) proc. of SIREN Workshop on Evaluation criteria of neural
net efficiency in industrial applications, December 12th 1995, Vietri sul
mare, Italy (1995).
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61. F. Camastra, M. Del Canto, P. Piano, D. Sciarra, Cohesistence of opposite reasoning paradigms in the shell CIP in proc. of 2nd conference of
AIIA (Italian Association of Artificial Intelligence), October 1991, Palermo,
Italy, (1991).
Theses (2)
62. F. Camastra, Kernel Methods for Unsupervised Learning, Ph.D Thesis,
DISI, University of Genova, March 2004 (Scholar Google: 17 citations,
Scopus: 5 citations).
63. F. Camastra, Un laboratorio di interpretazione di immagini astronomiche
(in Italian), M.Sc. Thesis, University of Milan, November 1985.
Technical Reports (3)
64. F. Camastra, A. Ciaramella, A. Staiano, Comment to Increased mortality is predicted of Inachis io caused by Bt-maize pollen in European
farmland, Ecological Modelling, 2013, ArXiv document 1308.6243, 2013.
65. F. Camastra, A. Ciaramella, A. Staiano, A note on some mathematical
models of exposure to Bt-maize pollen: novel results, ArXiv document
1210.7967, 2012 (early draft of [4]).
66. F. Camastra, Kernel Methods for Computer Vision: Theory and Applications, PhD Thesis Proposal, November 2001 (Scholar Google: 2 citations).
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