Copyright Notice: Since these papers are published, the copyright has been transferred to the respective publishers. Therefore, the papers cannot be duplicated for commercial purposes. The following is ACM's copyright notice; other publishers have similar ones.
Copyright © 199x by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that new copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted.S. Rovetta, F. Masulli, "Visual stability analysis for model selection in graded possibilistic clustering", Information Sciences, in press.
F. Masulli, AM., Massone, A. Schenone, "Evolution Strategy for the C-Means Algorithm:
Application to Multimodal Image Segmentation", International Journal on Current Science & Technology, 1(1), ISSN: 2320-5636, pp. 171-195, 2013. (pdf)
H. Mahmoud, F. Masulli,, S. Rovetta, "A Fuzzy Clustering Segmentation Approach for Medical Image Registration", in Computational Intelligence Methods for Bioinformatics and Biostatistics - Selected revised papers of CIBB 2012, Series Lecture Notes in Bioinformatics, LNCS/LNBI 7845, pp. 37-47, Springer-Verlag, Heidelberg (Germany), 2013. (pdf)
S. Rovetta, F. Masulli, "Spectral indexes of quality, diversity and stability in fuzzy clustering", Bruno Apolloni, Simone Bassis, Anna Esposito, Carlo F. Morabito (Ed.s), Neural Nets WIRN 2011- Proceedings of the 21nd Italian Workshop on Neural Nets, Series Frontiers in Artificial Intelligence and Applications, Vol. 234, pp. 112-119, IOS Press, Amsterdam, 2011. (pdf)
M. Filippone, F. Masulli, S. Rovetta, "Applying the Possibilistic C-Means Algorithm in Kernel-Induced Spaces", IEEE Transactions on Fuzzy Systems, 18/3, pp. 572-584, 2010. (pdf)
S. Rovetta, F. Masulli, M. Filippone, "Soft Ranking in Clustering", Neurocomputing, 72, pp. 2028-2031, 2009. (pdf)
S. Rovetta, F. Masulli, M. Filippone, "Clustering in the Membership Embedding Space'', Int. J. Knowledge Engineering and Soft Data Paradigms, 1, pp. 363-375, 2009. (pdf)
S. Rovetta and F. Masulli, "An experimental validation of some indexes of fuzzy clustering similarity", Series Lecture Notes in Artificial Intelligence, LNCS/LNAI 5571, pp. 132-139, Springer-Verlag, Heidelberg (Germany), 2009. (pdf)
M. Filippone, F. Masulli, S. Rovetta, ``An Experimental Comparison of Kernel Clustering Methods'', in B. Apolloni, S. Bassis, M. Marinaro (Ed.s), Proceeding of the Conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008, Series Frontiers in Artificial Intelligence and Applications; Vol. 193, pp. 118-126, IOS Press, Amsterdam, 2009. (pdf)
M. Filippone, F. Camastra, F. Masulli, S. Rovetta, "A survey of kernel and spectral methods for clustering", Pattern Recognition, 41, 1 pp. 176-190, 2008. Best Paper Award 2008 of the Pattern Recognition Society (consisting of a cash prize and a medal) for the best paper published by the Pattern Recognition journal in 2008. (pdf)
K. Honda, H. Ichihashi, F. Masulli, S. Rovetta, "Graded Possibilistic Approach to Variable Selection in Linear Fuzzy Clustering", IEEE Transactions on Fuzzy Systems, 15/5, pp. 878-889, 2007. (pdf)
S. Rovetta, F. Masulli, "Vector quantization and fuzzy ranks for image reconstruction", Image and Vision Computing, 25, 2, pp. 204-213, 2007. (pdf)
S. Rovetta, F. Masulli, M. Filippone, "Membership Embedding Space Approach and Spectral Clustering", Knowledge-Based Intelligent Information and Engineering Systems 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12- 14, 2007, Proceedings, Part III , Series Lecture Notes in Artificial Intelligence, vol. LNCS 4694, pp. 901–908, Springer-Verlag, Heidelberg (Germany), 2007.
M. Filippone, F. Masulli, S. Rovetta, "Possibilistic Clustering in Feature Space", Applications of Fuzzy Set Theory - Proceedings of the WILF’07- 2007 International Workshop on Fuzzy Logic and Applications (Camogli-Italy) , Series Lecture Notes in Artificial Intelligence, vol. LNCS/LNAI 4578, pp. 219–226, Springer-Verlag, Heidelberg (Germany), 2007. (pdf)
S. Rovetta, F. Masulli, "Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data", Pattern Recognition, 39, pp. 2415-2425, 2006. (pdf)
F. Masulli, S. Rovetta, Soft Transition from Probabilistic to Possibilistic Fuzzy Clustering'', IEEE Transactions on Fuzzy Systems, 14/4, pp. 516-526, 2006. (pdf)
K. Honda, H. Ichihashi, A. Notsu, F. Masulli, S. Rovetta, "Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering", in Salvatore Greco, Yutaka Hata, Shoji Hirano, Masahiro Inuiguchi, Sadaaki Miyamoto, Hung Son Nguyen and Roman Slowinski (Ed. s), Rough Sets and Current Trends in Computing, 5th International Conference, RSCTC 2006, Kobe, Japan, Series Lecture Notes in Computer Sciences, vol. LNCS 4259, pp. 939-948, Springer-Verlag, Heidelberg (Germany), 2006. (pdf)
P. Bogus, A. M. Massone, and F. Masulli, Simulated Annealing C-means Clustering Algorithm Convergence Proof, in Neural Networks and Soft Computing - Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, 2002 Polish Neural Networks Society and IEEE Neural Networks Council, L. Rutkowski and J. Kacprzyk (Editors), pp. 590-595, Advances in Soft Computing Series, Springer-Verlag, Heidelberg, Germany, 2003.
P. Bogus, K. Lewandowska, and F. Masulli, Regularization background of clustering algorithms, in Neural Networks and Soft Computing - Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, 2002 Polish Neural Networks Society and IEEE Neural Networks Council, L. Rutkowski and J. Kacprzyk (Editors), pp. 584-589, Advances in Soft Computing Series, Springer-Verlag, Heidelberg, Germany, 2003.
F. Beltrame, G. DeLeo, M. Fato, F. Masulli, and A. Schenone, Three-dimensional visualizzaztion and navigation tool for disgnostic and surgical planning applications, in Proceedings of SPIE - Medical Imaging 2001 - Visualizzation, Display and Image-Guided Procedure, pp. 507-514, vol. 4319, SPIE, Bellingam, Washington, USA, 2001.
F. Masulli, A.M. Massone, and A. Schenone, Fuzzy clustering methods for the segmentation of multimodal medical volumes, in P.S. Szczepaniak, P.J.G. Lisboa, and S. Tsumoto, editors, Fuzzy Systems in Medicine. Series Studies in Fuzziness and Soft Computing, editor J. Kacprzyk, Springer-Verlag, Heidelberg (Germany), pp. 335-350, 2000 (invited). (pdf)
A. M. Massone, F. Masulli, and A. Petrosino, Fuzzy Clustering Algorithms on LANDSAT images for detection of waste areas: A Comparison, in Advances in Fuzzy Systems and Intelligent Technologies, pp. 165-175, Shaker, Maastricht (NL), 2000. (pdf )
F. Masulli, A. M. Massone, and A. Schenone, Segmentation of multimodal medical volumes using evolutionary clustering, in Soft Computing, Multimedia, and Image processing, Proceedings of WAC 2000 World Automation Congress, pp. 215-220, TSI Press, Albuquerque, NM, USA, 2000. (pdf)
F. Masulli and A. Schenone, A fuzzy clustering based segmentation system as support to diagnosis in medical imaging, Artificial Intelligence in Medicine, vol. 16, pp. 129-147, 1999. (pdf)
P. Bogus, A. M. Massone, F. Masulli, and A. Schenone, Interactive graphical system for the segmentation of multimodal medical volumes using fuzzy clustering, Machine Graphics & Vision, vol. 7, pp. 781-791, 1998. (pdf)
F. Masulli, Hard and fuzzy clustering paradigms, in M. Kunt and L. Studer, editors, Proceedings of the 40th AVCP Course on Le traitement informatique du signal, Saillon, Valais (Switzerland), 1998, (invited).
P. Gurzi, A. Masulli, Spalvieri, M. L. Sotgiu, and G. Biella, Rough annealing by two-step clustering, with application to neuronal signals, Journal of Neuroscience Methods, vol 85(1), pp. 81-87, 1998.
P. Bogus and F. Masulli, Fuzzy and Possibilistic Approaches to Clustering, in CAI 98 Colloquia in Artificial Intelligence, Second Polish Conference on Theory and Applications of Artificial Intelligence, pp. 189-198, Lodz (Poland), 1998. KBN.
A. Schenone, F. Masulli, and M. Artuso, A neural bootstrap for the Possibilistic C-Mean algorithm, in F. C. Morabito, editor, Advances in Intelli-gent Systems, pp. 359-366, Amsterdam, 1997. IOS Press, (invited paper at the International Symposium on Intelligent Systems AMSE-ISIS 97, Reggio Calabria, Italy, September 11-13, 1997).
F. Masulli, P. Bogus, A. Schenone, and M. Artuso, Fuzzy clustering methods for the segmentation of multivariate images, in M. Mares, R. Mesia, V. Novak, J. Ramik, and A. Stupnanova, editors, Proceedings of the 7th International Fuzzy Systems Association Word Congress IFSA 97, vol. III, pp. 123-128, Prague, 1997. Academia. (pdf)
A. Schenone, F. Firenze, F. Acquarone, M. Gambaro, F. Masulli, and L. Andreucci, Segmentation of multivariate medical images via unsupervised clustering with adaptive resolution, Computerized Medical Imaging and Graphics, vol. 20, pp. 119-129, 1996.
F. Masulli, G. Valentini, An experimental analysis of the dependence among codeword bit errors in ECOC learning machines, Neurocomputing, 57C, pp. 189-214, 2004. (pdf)
F. Masulli, F. and G. Valentini, Effectiveness of Error Correction Output Coding Decomposition Schemes in Ensemble and Monolithic Learning Machines, Pattern Analysis and Application Journal, vol. 6, pp. 285-300, 2003. (pdf)N. Giusti, F. Masulli and A. Sperduti, Theoretical and Experimental Analysis of a Two-Stage System for Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 893-904, 2002. (pdf)
A. Eleuteri, F. Masulli, R. Tagliaferri, Learning with multiple machines: ECOC models vs Bayesian Framework, in, H. Szu, F.C. Morabito, editors, International Joint Conference on Neural Networks, Book of Tutorials, Portland, Oregon, IEEE Neural Network Society, Piscataway, NJ, USA, 2003.
G. Valentini and F. Masulli, NEURObjects: An object-oriented library for neural network development, Neurocomputing, vol. 48, no 1-4, pp. 623-646, 2002. (pdf)
G. Valentini and F. Masulli, Ensembles of Learning Machines, in M. Marinaro and R. Tagliaferri, editors, Neural Nets WIRN Vietri-02, Series Lecture Notes in Computer Sciences, Springer-Verlag, Heidelberg (Germany), Vol. 2486, pp.3-19, Springer-Verlag, Heidelberg (Germany), 2002 (invited review). (pdf)
F. Masulli, G. Valentini, Mutual information methods for evaluating dependence among outputs in learning machines, DISI - Dipartimento di Informatica e Scienze dell' Informazione - Universita` di Genova - Tech. Rep. TR-01-02, 2001. (pdf)
F. Masulli, M. Pardo, G. Sberveglieri, G. Valentini, Boosting Classifiers in Electronic Noses, in MCS2002, Multiple Classifier Systems, Series Lecture Notes in Computer Sciences, Vol. 2364, pp. 262 271, Springer-Verlag, Heidelberg (Germany), 2002. (pdf)
F. Masulli, and G. Valentini, Dependence among Codewords Bits Errors in ECOC learning Machines: An Experimental Analysis, in MCS2001 International Workshop on Multiple Classifier Systems, pp. 158 167, Lecture Notes in Computer Sciences, Vol. 1857, Springer-Verlag, Heidelberg (Germany), 2001. (pdf)
M. Pardo, G. Sberveglieri, F. Masulli, and G. Valentini, Decompositive Classification Models for Electronic Noses, Analitica Chimica Acta, vol 446, pp. 223-232, 2001. (pdf)
M. Pardo, G. Sberveglieri, D. Della Casa, F. Masulli, G. Valentini, Multiple classifiers for electronic nose data, 8th International Symposium on Olfaction and Electronic Noses, Washington, 2001. (pdf)
F. Masulli, and G. Valentini, Quantitative Evaluation of Dependence among Outputs in ECOC Classifiers Using Mutual Information Based Measures, in Proceedings of the International Joint Conference on Neural Networks IJCNN 01, pp. 784-789, vol. 2, IEEE, Piscataway, NJ, USA, 2001. (pdf)
F. Masulli and G. Valentini, Effectiveness of error correcting output correcting output codes in multiclass learning problems, in Proceedings of MCS2000 - First International Workshop on Multiple Classifier Systems, Cagliari (Italy), June 21-23, 2000, Lecture Notes in Computer Science, pp. 107-116, vol 1857, Springer-Verlag, Heidelberg (Germany). (pdf)
F. Masulli and G. Valentini, Parallel non linear dichotomizers, in Proceedings of IJCNN 20000, The IEEE-INNS-ENNS Int. Joint Conf. on Neural Networks, pp. 29-33, IEEE, Piscataway, NJ, USA, 2000. (pdf)
F. Masulli and G. Valentini, Comparing Decomposition Methods for Classification, in Proceedings of KES 2000-International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, vol. 2, pp. 788-792, IEEE, Piscataway, NJ, USA. (pdf)
G. Valentini and F. Masulli, NEURObjects: A set of library classes for neural networks development, in F. Masulli and R. Parenti, editors, Proceedings of the third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), Genova, pp. 184-190, Millet, Canada, 1999. ICSC. (pdf)
E. Canestrelli, P. Canestrelli, M. Corazza, M. Filippone, S. Giove, F. Masulli, “Local Learning of Tide Level Time Series using a Fuzzy Approach”, Proceedings of the International Joint Conference on Neural Networks 2007, Orlando, Fl, USA , IEEE Computational Intelligence Society, Piscataway, NJ, USA. (pdf)
D. Baratta, Gb. Cicioni, F. Masulli, L. Studer, Application of an Ensemble Technique based on Singular Spectrum Analysis to Daily Rainfall Forecasting, Neural Networks, vol. 16/3-4, pp.375-387, 2003.
F. Masulli and L. Studer, Time series forecasting and neural networks, in Harold Szu, editor, Tutorials of the IJCNN'99 - 1999 International Joint Conference on Neural Networks, Washington, DC. CDROM, IEEE, New York, 1999 (invited).
F. Masulli, R. Parenti, and L. Studer, Neural modeling of non-linear processes: Relevance of the Takens-Mane' theorem, International Journal on Chaos Theory and Applications, Vol. 4/2-3, pp. 59-74, 1999. (pdf)
L. Studer and F. Masulli, Building a neuro-fuzzy system to efficiently forecast chaotic time series, Nuclear Instruments and Methods in Physics Research, Section A, vol. 389, pp. 264-667, 1997. (pdf)
F. Masulli and L. Studer, Neuro-fuzzy system for chaotic time series forecasting, in B. Bosacchi, J.C. Bezdek, and D.B. Fogel, editors, Applications of Soft Computing - SPIE Proceedings Series, vol. 3165, pp. 205-215, San Diego, CA, 1997. SPIE - Bellingam, WA, USA.
L. Studer and F. Masulli, On the structure of a neuro-fuzzy system to forecast chaotic time series, Fuzzy Systems & A. I., Reports and Letters, vol. 4, pp. 31-37, 1995.
F. Masulli, F. Casalino, R. Caviglia, and L. Papa, Comparison of statistical methods and fuzzy systems in atmospheric pressure wave prediction, in S. K Roger and D. W. Ruck, editors, Applications and Science of Artificial Neural Networks - SPIE Proceedings Series, vol. 2492, pp. 1050 1061, Orlando, Florida, 1995. SPIE - Bellingam, WA, USA.
F. Masulli et al, Comprehensive Dictionary of Electric al Engineering, P. Laplante Editor, CRC Press LLC and IEEE Press, Boca Raton, Fl - USA, 1999 (invited contribution of 50 terms on Fuzzy Sets and Systems).
F. Casalino, F. Masulli, and A. Sperduti, Rule specialization in networks of fuzzy basis functions, Intelligent Automation and Soft Computing, vol. 4, pp. 73-82, 1998. (pdf)
N. Giusti, F. Masulli, and A. Sperduti, Competitive and hybrid neuro-fuzzy models for supervised classification, in Proceedings of 1997 IEEE International Conference on Neural Networks, INNC'97, pp. 516-519, Huston, USA, 1997. IEEE. (pdf)
F. Masulli, A. Sperduti, and D. Alfonso, A hybrid pattern recognition scheme, in B. Bosacchi and J. Bezdek, editors, Applications of Fuzzy Logic Technology III - SPIE Proceedings Series, vol. 2761, pp. 154-162, Orlando, Florida, 1996. SPIE - Bellingam, WA, USA. (invited paper).
M. Marinaro, F. Masulli, and D. Oricchio, Proof of the universal approximation of a set of fuzzy functions, in M. Marinaro and R. Tagliaferri, editors, Neural Nets - WIRN Vietri-96, Proceedings of WIRN 96 - 8th Italian Workshop on Neural Nets, pp. 132-136, London, 1997. Springer, Also, International Institute for Advanced Scientific Studies - Eduardo Caianiello -Internal Report IIASS-96-07.
F. Masulli and F. Casalino, A neuro-fuzzy system for Bayesian classification, in Proceedings of EUFIT 95 Third European Congress on Intelligent Techniques and Soft Computing, pp. 1425-1429, Aachen (Germany), 1995. Verlag und Druck Mainz. (invited at the session on Fuzzy Classification Rules).
F. Casalino, F. Masulli, A. Sperduti, and F. Vannucci, Semantic phase transition in a classifier based on an adaptive fuzzy system, in Proceedings of the Third IEEE International Conference on Fuzzy Systems, IEEE-FUZZ94, vol. 2, pp. 808-812, Orlando, FL, USA, 1994. IEEE. (pdf)
F. Masulli, F. Casalino, and F. Vannucci, Bayesian properties and performances of adaptive fuzzy systems in pattern recognition problems, in M. Marinaro and P. G. Morasso, editors, Proceedings of the European Conference on Artificial Neural Networks, ICANN-94, pp. 189-192, Sorrento, Italy, 1994. Springer.
R. Battiti and F. Masulli, BFGS optimization for faster and automated supervised learning, in B. Widrow and B. Angeniol, editors, International Neural Network Conference, INNC 90 PARIS (International Neural Network Society and IEEE), vol. 2, pp. 757-760, Dordrecht, 1990. Kluwer Academic Publishers.
F. Masulli and M. Penna, Improving learning speed and generalization in multi-layer perceptrons through principal component analysis, in S.K Roger and D.W. Ruck, editors, Applications and Science of Artificial Neural Networks II - SPIE Proceedings Series, vol. 2790, pp. 85-95, Orlando, Florida, 1996. SPIE - Bellingam, WA, USA.
F. Masulli, M. Riani, E. Simonotto, and F. Vannucci, Boltzmann distributions and neural networks: Models of unbalanced interpretations of reversible patterns, in D. W. Ruck, editor, Science of Artificial Neural Networks-SPIE Proceedings Series, vol. 1710, pp. 267-277, Orlando, Florida, 1992. SPIE - Bellingam, WA, USA.M. Riani, F. Masulli, and E. Simonotto, Perceptual alternation of ambiguous patterns: A model based on an artificial neural network, in S. K. Roger, editor, Application of Artificial Neural Networks II - SPIE Proceedings Series, vol. 1469, pp. 166-177, Orlando, Florida, 1991. SPIE - Bellingam, WA, USA.
M. Riani and F. Masulli, Stochastic dynamics and input dimensionality in a two-layer neuronal network for modelling multistable perception, in B. Widrow and B. Angeniol, editors, International Neural Network Conference, INNC 90 PARIS (International Neural Network Society and IEEE), vol. 2, pp. 1019-1022, Dordrecht, 1990. Kluwer Academic Publishers.
F. Masulli, M. Riani, and E. Simonotto, Neural network models of perceptual alternation of ambiguous patterns, in V. Cantoni, L. P. Cordella, S. Levialdi, and G. Sanniti di Baja, editors, Progress in Image Analysis and Processing, pp. 751-758, Singapore, 1990. World Scientific Publisher Co.
M. Riani and F. Masulli, Modeling perceptual alternation by using ANNs, in E. R. Caianiello, editor, Second Italian Workshop on Parallel Architectures and Neural Networks, pp. 43-50, Singapore, 1990. World Scientific Publisher Co.
F. Masulli and M. Riani, Ambiguity and structural information in the perception of reversible figures, Perception & Psychophysics, vol. 45 (6), pp. 501-513, 1989.
O. Martinoli, F. Masulli, and M. Riani, Metric and structural aspects of pattern codes, in V. Cantoni, V. Di Gesu', and S. Levialdi, editors, Image Analysis and Processing II, pp. 287-293. Plenum Publishing Corporation, 1988.
O. Martinoli, F. Masulli, and M. Riani, Metric and structural aspects of pattern codes, in J. Rose, editor, Cybernetics and Systems: Present and Future, vol. 1, pp. 393-397, Lytham St. Annes (England), 1987. Thales Publications Ltd.
VIRTUAL REALITY
SC. Snoek, P. Youngblood, A. Martin, H. Nishimura, J. Durso, F. Masulli, S. Rovetta, S. Hayes, M. Napolitano, G. Russo, "Leveraging Virtual Professional Networks: The Science Circle as a Case Study in Best Practices", Journal of Virtual Studies, 2/1, pp. 42-43, 2011 (abstract). ISSN:2155-0107.
D. Muresu, L. Cito, F. Masulli, S. Rovetta, Pp. Basso, O. Olabinjo, A. Giordano, G. Russo, "DigiSLab: example of Web 3.0 application", Journal of Virtual Studies, 2/1, pp. 39, 2011 (abstract).ISSN:2155-0107.
C. Snoek, P. Youngblood, A. Martin, H. Nishimura, J. Durso, F. Masulli, S. Rovetta, S. Hayes, M. Napolitano, G. Russo, "What is 'education' in a virtual world? ScienceCircle Network experience", Journal of Virtual Studies, 2/1, pp. 82-83, 2011 (abstract). ISSN:2155-0107.
APPLICATIONS TO BIOINFORMATICS
S. Rovetta, F. Masulli, G. Russo,
"Validation of a context analysis method for microRNA
data", Nuovo Cimento, 35C/5s1, pp. 109-117, 2012 (DOI
10.1393/ncc/i2012-11340-4). ISSN:2037-4909. (pdf)
F. Masulli, "Natural Computing and Bioinformatics", in
SETIT 2012 6th International Conference: Sciences of
Electronic, Technologies of Information and
Telecommunications, March 21-24, 2012, Sousse, TUNISIA
(invited tutorial), SETIT
2012 Best Tutorial Award. (pdf)
S. Rovetta, F. Masulli, M.E. Monville, G. Russo, "Context Analysis in microRNA Data: A Rosetta Stone Approach", in B. Apolloni, S. Bassis, F. C. Morabito (Ed.s), Neural Nets WIRN 2010, pp. 135-143, Series Frontiers in Artificial Intelligence and Applications, vol. 226 IOS Press, Amsterdam, 2011. (pdf)
M. Filippone, F. Masulli, S. Rovetta,
"Simulated Annealing for Supervised Gene Selection",
International Journal of Soft Computing, A Fusion of
Foundations, Methodologies and Applications, 15/8, pp.
1471-1482, 2011. (pdf)
E. Nosova, R. Tagliaferri, F. Masulli, S.
Rovetta, "Biclustering by resampling", in Computational
Intelligence Methods for Bioinformatics and Biostatistics
- Selected revised papers of CIBB 2010, Series Lecture
Notes in Bioinformatics, LNCS/LNBI 6685, pp.147-158,
Springer-Verlag, Heidelberg (Germany), 2011.
G. Russo, A. Puca, F. Masulli, S.
Rovetta, L. Cito, D. Muresu, F. Rizzolio, A. Giordano,
"Epigenetics, microRNAs and Cancer: an Update", in A.
Giordano and M. Macaluso Ed.s, Cancer Epigenetics:
Biomolecular Therapeutics for Human Cancer, pp. 101-112,
John Wiley & Sons, Inc., 2011. (pdf)
F. Masulli, S. Rovetta, S. G. Russo,
"Predicting microRNA Prostate Cancer Target Genes", in U.
Maulik, S. Bandyopadhyay and J. T. L. Wang, Ed.s,
Computational Intelligence and Pattern Analysis in Biology
Informatics, John Wiley & Sons, pp. 99\u2013118, 2010,
(invited).
F. Masulli, S. Mitra, "Natural Computing Methods in Bioinformatics: A Survey", International Journal of Information Fusion, 10/3, pp. 211-216, 2009. (pdf)
F. Masulli, A. Parini, S. Rovetta, G. Russo, "Searching for microRNA Prostate Cancer Target Genes'', Proceedings of the International Joint Conference on Neural Networks 2009, Atlanta, GA, USA, pp. 2021-2026, IEEE Computational Intelligence Society, Piscataway, NJ, USA. (pdf)
V.N.M. Aradhya, F. Masulli, S. Rovetta, "Biclustering of Microarray Data based on Modular Singular Value Decomposition", CIBB 2009: Computational Intelligence Methods for Bioinformatics and Biostatistics, Proceedings of DMI, v. 3, DMI Univ. Salerno, Italy, 2009. (pdf)
M. Filippone, F. Masulli, S. Rovetta, "Comparing Fuzzy
Approaches to Biclustering", in "Computational
Intelligence Methods for Bioinformatics and Biostatistics
- Selected revised papers of CIBB 2008", Series Lecture
Notes in Bioinformatics, LNCS/LNBI 5488, pp. 91-101,
Springer-Verlag, Heidelberg (Germany), 2009. (pdf)
M. Filippone, F. Masulli, S. Rovetta, S. Mitra, H. Banka,
"Possibilistic Approach to Biclustering: An Application to
Oligonucleotide Microarray Data Analysis", in Proceedings
of CMSB 2006, Computational Methods in Systems Biology,
Series Lecture Notes in Bioinformatics, Vol. LNCS/LNBI
4210, pp. 312- 322, Springer-Verlag, Heidelberg (Germany),
2006. (pdf)
G.B. Ferrara, L. Delfino, F. Masulli, S. Rovetta, R.
Sensi, A Fuzzy Approach to Image Analysis in HLA Typing
using Oligonucleotide Microarrays, Fuzzy Sets and Systems,
vol. 152, pp. 37-48, 2005. (pdf)
F. Masulli, S. Rovetta, Random Voronoi ensembles for gene selection, Neurocomputing, vol. 55/3-4, pp. 721-726, 2003. (pdf)
F. Masulli, S. Rovetta, Gene selection using Random Voronoi Ensembles, in B. Apolloni, M. Marinaro, R. Tagliaferri, editors, Neural Nets Wirn Vietri-03, Series Lecture Notes in Computer Sciences, Springer-Verlag, Heidelberg (Germany), Vol. 2859, pp.302-307, Springer-Verlag, Heidelberg (Germany), 2003.
S. Bulotta, H. Mahmoud, F. Masulli, E. Palummeri, S. Rovetta, "Fall Detection Using an Ensemble of Learning Machines", in B. Apolloni, S. Bassis, A. Esposito, F. C. Morabito (Ed.s), Neural Nets and Surroundings, 22nd Italian Workshop on Neural Nets, WIRN 2012, May 17-19, Vietri sul Mare, Salerno, Italy Springer, Series: Smart Innovation, Systems and Technologies, Vol. 19, pp. 81-90, ISBN 978-3-642-35466-3, 2013.
P. Rosso, F. Masulli, D. Buscaldi, Un Metodo Automatico para la Desambiguacion Lexica de Nombres, Revista Colombiana de Computacion, Vol.4/1, pp. 57-64, 2003.
P. Rosso, F. Masulli, D. Buscaldi, F. Pla, and A.G. Molina, Automatic Noun Disambiguation, in A. Gelbukh, editor, Computational Linguistics and Intelligent Text Processing 4th International Conference, CICLing 2003, Mexico City, Mexico, Series Lecture Notes in Computer Sciences,Vol. 2588, pp.273-276, Springer-Verlag, Heidelberg (Germany), 2003 (pdf).
R. Parenti, C. Penno, D. Baratta, and F. Masulli, Implementing very high Speed hierarchical MLP-based Classification Systems in real-time industrial environments, KES - International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 5, pp. 179-186, 2001. (pdf)
F. Masulli, D. Sona, A. Sperduti, A Starita, and G. Zaccagnini, A system for the automatic morphological analysis of mediaeval manuscripts, Journal of Forensic Document Examination, vol. 9, pp. 45-55, 1996, (invited). (pdf)
R. Parenti and F. Masulli, Drive-train for electric/hybrid vehicles improved by soft-computing, in P. G. Anderson and K. Warwick, editors, Proceedings of the International ICSC Symposium on Industrial Intelligent Automation (IIA 96) and Soft Computing (SOCO 96), Reading, England, pp. A162-198, Millet Alberta, Canada, 1996. ICSC.
B. Bayaraktar, S. Vurgun, E. Alpaydin, and F. Masulli, A comparison of fuzzy neural networks with radial basis functions and multi-layer perceptrons for handwritten digit recognition, in H. A. Guverin, K. Oflazer, V. Akman, and S. Kocabas, editors, TAINN 95 The Fourth Turkish Symposium on Artificial Intelligence and Neural Networks, pp. 75-85, Gebze Kocaeli, Turkey, 1995. Tubitak.
F. Masulli, Bayesian classification by feedforward connectionist systems, in F. Masulli, P. G. Morasso, and A. Schenone, editors, Neural Networks in Biomedicine - Proceedings of the Advanced School of the Italian Biomedical Physics Association - Como (Italy) 1993, pp. 145-162, Singapore, 1994. World Scientific. (pdf)
F. Masulli, F. Vannucci, F. Casalino, M. Garcia, F. Pasini, and M. Penna, Neural methods for handwritten character recognition, in G. Marcone and G. Orlandi, editors, Proceedings of the First Italian Workshop on Digital Image Processing by Neural Networks, pp. 43-48, Rome, Italy, 1993. Fondazione Bordoni.
M. Pardo, G. Faglia, G. Sberveglieri, M. Corte, F. Masulli, and M. Riani, A time delay neural network for estimation of gas concentrations in a mixture, Sensors and Actuators B, vol. 65/1-3, pp. 267-269, 2000.M. Pardo, G. Faglia, G. Sberveglieri, M. Corte, F. Masulli, and M. Riani, Monitoring reliability of sensors in an array by neural networks, Sensors and Actuators B, vol. 67, pp. 128-133, 2000. (pdf)
M. Corte, F. Masulli, M. Riani, M. Pardo, G. Faglia, and G. Sberveglieri, Estimation of gas concentrations in a mixture using a neural dynamical model, in Technical Digest of the 7th International Meeting on Chemical Sensors, pp. 770-772, 1998, International Academic Publisher, Beijing (China).
A.M. Massone, L. Studer, F. Masulli, "Possibilistic Clustering Approach to Trackless Ring Pattern Recognition in RICH Counters", International Journal of Approximate Reasoning, 41/2, pp. 96-109, 2006. (pdf)
O. Bartalini, M. Capogni, C. Gaulart, F. Masulli, A. M. Massone and A. Zucchiatti, Clustering algorithms for the reconstruction of events in the GRAAl segmented BGO calorimeter, in New Computing Techniques in Physics Research VI - AIHENP99 Sixth International Workshop on Software Engineering Artificial Intelligence and Expert Systems, pp. 201-205, Parisianou S. A., Athens (Greece), 2000.A. M. Massone, L. Studer, F. Masulli, and G. Valentini, Pattern Recognition in RICH Counters Using the Possibilistic C-Spherical Shell Algorithm, in Proceedings of KES 2000-International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, vol. 2, pp. 791-795, IEEE, Piscataway, NJ, USA. (pdf)
A. Zucchiatti, D. Moricciani, A. M. Massone, F. Masulli, M. Copogni, M. Castoldi, A. D Angelo, F. Ghio, B. Girolami, P. Levi Sandri, and M. Sanzone, Optimization of clustering algorithms for the reconstruction of events started by a 1 GeV photon beam in a segmentated BGO calorimeter, Nuclear Instruments and Methods in Physics Research, Section A, vol. 425, pp. 536-548, 1999.
M. Castellano, F. Masulli, and M. Penna, Fuzzy systems in High Energy Physics, in B. Bosacchi and J. Bezdek, editors, Applications of Fuzzy Logic Technology III - SPIE Proceedings Series, vol. 2761, pp. 162-171, Orlando, Florida, 1996. SPIE - Bellingam, WA, USA.
F. Masulli, S. Mitra (Guest Editors), "Special issue on Natural Computing in Bioinformatics", International Journal of Information Fusion, 10/3, 2009.
F. Masulli, R. Tagliaferri, G. Valentini (Guest Editors), "Special issue on Computational Intelligence and Machine Learning Methods in Bioinformatics", International Journal of Artificial Intelligence in Medicine, 45/2-3, 2009. (pdf)
F. Masulli, A. Petrosino (Guest Editors), "Special issue on Advances in Fuzzy sets and Rough sets", International Journal of Approximate Reasoning, vol. 41, n.2, 2006.
F. Masulli and R. Parenti (Guest Editors), Special Paper Selection on Soft Computing and Industrial Applications, KES - International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 5, n. 3, 2001.
A. M. Colla, F. Masulli, and R. Plamondon (Guest Editors), Special issue on Advances in Handwriting and Drawing Analysis, Intelligent Automation and Soft Computing, vol. 7, n. 3, 2000.
F. Masulli, R. Tagliaferri, and G.M. Verkhivker (Editors), Computational Intelligence Methods for Bioinformatics and Biostatistics - Selected revised papers of CIBB 2008, Series Lecture Notes in Bioinformatics, LNCS/LNBI 5488, Springer-Verlag, Heidelberg (Germany), 2009.
F.Masulli, A. Micheli, A. Sperduti (Editors), Computational Intelligence and Bioengineering - Essays in Memory of Antonina Starita, Series Frontiers in Artificial Intelligence and Applications, 196, Springer-Verlag, IOS Press, 2009.
D. Bordo, F. Masulli, M. Muselli, P. Romano (Editors), Proceedings Sixth Annual Meeting of the Bioinformatics Italian Society BITS 2009, Genova, 10-13 March 2009, vol. 1, Libero di Scrivere, Genova (Italy), ISBN 978-88-7388-255-1, 2009
F. Masulli, L. Peterson, R. Tagliaferri (Editors), Proceedings of the CIBB 2009: Computational Intelligence Methods for Bioinformatics and Biostatistics (Oratorio San Filippo Neri, Genova -Italy), Proceedings of DMI, v. 3, DMI Univ. Salerno, Italy, ISBN 978-88-903537-2-7 (memory drive), 2009.
F. Masulli, R. Tagliaferri, and G.M. Verkhivker (Editors), Proceedings of the CIBB 2008: Computational Intelligence Methods for Bioinformatics and Biostatistics (Vietri-Italy), Proceedings of DMI, v. 2, 2008 (compact disk). ISBN: 978-88-903537-1-0, DMI Univ. Salerno, Italy, 2008.
F. Masulli, and R. Tagliaferri (Editors), Notes of the CI-BIO 2007, Workshop on Computational Intelligence Approaches for the Analysis of Bioinformatics Data, Orlando, FL, USA, Aug , 2007.
F. Masulli, S. Mitra, and G. Pasi (Editors), Applications of Fuzzy Set Theory, Series Lecture Notes in Artificial Intelligence, LNCS/LNAI 4578, Springer-Verlag, Heidelberg (Germany), 2007.
V. Di Gesu, V., F. Masulli, and A. Petrosino (Editors), Fuzzy Logic and Applications, Series Lecture Notes in Artificial Intelligence, LNCS/LNAI 2955, Springer-Verlag, Heidelberg (Germany), 2006
A. Bonarini, F. Masulli, and G. Pasi (Editors), Soft Computing Applications - Proceedings of the WILF 01 - 2001 Italian Workshop on Fuzzy Logic (Milan-Italy), Series Advances in Soft Computing (Kacprzyk, J.Ed.), Springer-Verlag, 2003.
F. Masulli, R. Parenti, and G. Pasi (Editors), Advances in Fuzzy Systems and Intelligent Technologies, Shaker, Maastricht (NL), 2000.
R. Parenti and F. Masulli (Editors), Proceedings of the third ICSC Symposia on Intelligent Industrial Automation (IIA 99) and Soft Computing (SOCO 99), Genova, ICSC, Millet, Canada, 1999.
A. M. Colla, F. Masulli, and P. Morasso (Editors), Proceedings of the 8th Biennial Conference of the International Graphonomics Society IGS 97, International Graphonomics Society, Nijmegen (Holland), Genova (Italy), 1997.
A. Bonarini, D. Mancini, F. Masulli, and A. Petrosino (Editors), New Trends in Fuzzy Logic - Proceedings of the WILF 95 - 1995 Italian Workshop on Fuzzy Logic (21-22 Sept 1995, Napoli-Italy), World Scientific, Singapore, 1996, (listed in D. Dubois, H. Prade, S. Sessa Recent Literature, Fuzzy Sets and Systems 89 (1997) 129-13 and in D. Dubois, H. Prade, S. Sessa Recent Literature, Fuzzy Sets and Systems 91 (1997) 409-413).
F. Masulli and L. Studer (Session's Chairs), Session6 (invited): Forecasting Chaotic Time Series, with contributions by F. Masulli and L. Studer, M. Ghil, F.C. Morabito, and R. Ghilmore, in B. Bosacchi, J.C. Bezdek, and D.B. Fogel, editors, Applications of Soft Computing - SPIE Proceedings Series, vol. 3165, pp. 203-259, San Diego, CA, 1997. SPIE - Bellingam, WA, USA.
F. Masulli, P. G. Morasso, and A. Schenone (Editors), Neural Networks in Biomedicine - Proceedings of the Advanced School of the Italian Biomedical Physics Association - Como (Italy) 1993, World Scientific, Singapore, 1994, (Rewieved by N. Maglaveras Physiological Measurements, 14(4) p. 321).