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Francesco Masulli: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Paolo Rosso, Francesco Masulli, Davide Buscaldi, Ferran Pla, Antonio Molina
    Automatic Noun Sense Disambiguation. [Citation Graph (0, 0)][DBLP]
    CICLing, 2003, pp:273-276 [Conf]
  2. Maurizio Filippone, Francesco Masulli, Stefano Rovetta, Sushmita Mitra, Haider Banka
    Possibilistic Approach to Biclustering: An Application to Oligonucleotide Microarray Data Analysis. [Citation Graph (0, 0)][DBLP]
    CMSB, 2006, pp:312-322 [Conf]
  3. Riccardo Parenti, Carla Penno, Daniela Baratta, Francesco Masulli, M. Tausel
    A Very High Speed Industrial Neural Network Classification System Based on Custom VLSI Implementation. [Citation Graph (0, 0)][DBLP]
    IIA/SOCO, 1999, pp:- [Conf]
  4. P. Bogus, A. M. Massone, Francesco Masulli
    A Simulated Annealing C-Means Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    IIA/SOCO, 1999, pp:- [Conf]
  5. M. Corte, Francesco Masulli, M. Raini, Matteo Pardo, G. Faglia, Giorgio Sberveglieri
    Reliability Neuro-Control of an Array of Sensors by Cross-Monitoring of Working-State. [Citation Graph (0, 0)][DBLP]
    IIA/SOCO, 1999, pp:- [Conf]
  6. Giorgio Valentini, Francesco Masulli
    NEURObjects: A Set of Library Classes for Neural Networks Development. [Citation Graph (0, 0)][DBLP]
    IIA/SOCO, 1999, pp:- [Conf]
  7. Francesco Masulli, Giorgio Valentini
    Parallel Non Linear Dichotomizers. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:29-36 [Conf]
  8. Francesco Masulli, Matteo Pardo, Giorgio Sberveglieri, Giorgio Valentini
    Boosting and Classification of Electronic Nose Data. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:262-271 [Conf]
  9. Francesco Masulli, Giorgio Valentini
    Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:107-116 [Conf]
  10. Francesco Masulli, Giorgio Valentini
    Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:158-167 [Conf]
  11. Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu, Francesco Masulli, Stefano Rovetta
    Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:939-948 [Conf]
  12. Davide Buscaldi, Paolo Rosso, Francesco Masulli
    Integrating Conceptual Density with WordNet Domains and CALD Glosses for Noun Sense Disambiguation. [Citation Graph (0, 0)][DBLP]
    EsTAL, 2004, pp:183-194 [Conf]
  13. Maurizio Filippone, Francesco Masulli, Stefano Rovetta
    Unsupervised Gene Selection and Clustering Using Simulated Annealing. [Citation Graph (0, 0)][DBLP]
    WILF, 2005, pp:229-235 [Conf]
  14. Francesco Masulli, Stefano Rovetta
    Fuzzy Concepts in Vector Quantization Training. [Citation Graph (0, 0)][DBLP]
    WILF, 2003, pp:279-288 [Conf]
  15. Stefano Rovetta, Francesco Masulli, Maurizio Filippone
    Soft Rank Clustering. [Citation Graph (0, 0)][DBLP]
    WIRN/NAIS, 2005, pp:207-213 [Conf]
  16. Giorgio Valentini, Francesco Masulli
    Ensembles of Learning Machines. [Citation Graph (0, 0)][DBLP]
    WIRN, 2002, pp:3-22 [Conf]
  17. Francesco Masulli, Stefano Rovetta
    An Algorithm to Model Paradigm Shifting in Fuzzy Clustering. [Citation Graph (0, 0)][DBLP]
    WIRN, 2003, pp:70-76 [Conf]
  18. Francesco Masulli, Stefano Rovetta
    Gene Selection Using Random Voronoi Ensembles. [Citation Graph (0, 0)][DBLP]
    WIRN, 2003, pp:302-307 [Conf]
  19. Francesco Masulli, Andrea Schenone
    A fuzzy clustering based segmentation system as support to diagnosis in medical imaging. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1999, v:16, n:2, pp:129-147 [Journal]
  20. G. B. Ferrara, L. Delfino, Francesco Masulli, Stefano Rovetta, R. Sensi
    A fuzzy approach to image analysis in HLA typing using oligonucleotide microarrays. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:152, n:1, pp:37-48 [Journal]
  21. A. M. Massone, Léonard Studer, Francesco Masulli
    Possibilistic clustering approach to trackless ring Pattern Recognition in RICH counters. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:41, n:2, pp:96-109 [Journal]
  22. Francesco Masulli, Alfredo Petrosino
    Advances in fuzzy sets and rough sets. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:41, n:2, pp:75-76 [Journal]
  23. Francesco Masulli, Stefano Rovetta
    Random Voronoi ensembles for gene selection. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:3-4, pp:721-726 [Journal]
  24. Francesco Masulli, Giorgio Valentini
    An experimental analysis of the dependence among codeword bit errors in ECOC learning machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:189-214 [Journal]
  25. Giorgio Valentini, Francesco Masulli
    NEURObjects: an object-oriented library for neural network development. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:623-646 [Journal]
  26. Stefano Rovetta, Francesco Masulli
    Vector quantization and fuzzy ranks for image reconstruction. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2007, v:25, n:2, pp:204-213 [Journal]
  27. Daniela Baratta, Giovambattista Cicioni, Francesco Masulli, Léonard Studer
    Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:3-4, pp:375-387 [Journal]
  28. Francesco Masulli, Giorgio Valentini
    Effectiveness of error correcting output coding methods in ensemble and monolithic learning machines. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2004, v:6, n:4, pp:285-300 [Journal]
  29. Nicola Giusti, Francesco Masulli, Alessandro Sperduti
    Theoretical and Experimental Analysis of a Two-Stage System for Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:7, pp:893-904 [Journal]
  30. Stefano Rovetta, Francesco Masulli
    Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:12, pp:2415-2425 [Journal]
  31. Paolo Rosso, Francesco Masulli, Davide Buscaldi
    Un Método Automático para la Desambiguación Léxica de Nombres. [Citation Graph (0, 0)][DBLP]
    Revista Comlombiana de Computación, 2003, v:4, n:1, pp:- [Journal]
  32. Stefano Rovetta, Francesco Masulli, Maurizio Filippone
    Membership Embedding Space Approach and Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:901-908 [Conf]
  33. Maurizio Filippone, Francesco Masulli, Stefano Rovetta
    Possibilistic Clustering in Feature Space. [Citation Graph (0, 0)][DBLP]
    WILF, 2007, pp:219-226 [Conf]
  34. Maurizio Filippone, Francesco Camastra, Francesco Masulli, Stefano Rovetta
    A survey of kernel and spectral methods for clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2008, v:41, n:1, pp:176-190 [Journal]

  35. Local Learning of Tide Level Time Series using a Fuzzy Approach. [Citation Graph (, )][DBLP]


  36. Supervised Classification and Gene Selection Using Simulated Annealing. [Citation Graph (, )][DBLP]


  37. Comparing decomposition methods for classification. [Citation Graph (, )][DBLP]


  38. Pattern recognition in RICH counters using the Possibilistic C-Spherical Shell algorithm. [Citation Graph (, )][DBLP]


  39. An Experimental Validation of Some Indexes of Fuzzy Clustering Similarity. [Citation Graph (, )][DBLP]


  40. An Experimental Comparison of Kernel Clustering Methods. [Citation Graph (, )][DBLP]


  41. The discriminating power of random features. [Citation Graph (, )][DBLP]


  42. Possibilistic rings detection for RICH pattern recognition. [Citation Graph (, )][DBLP]


  43. Stability and Performances in Biclustering Algorithms. [Citation Graph (, )][DBLP]


  44. A Novel Approach for Biclustering Gene Expression Data Using Modular Singular Value Decomposition. [Citation Graph (, )][DBLP]


  45. Computational intelligence and machine learning in bioinformatics. [Citation Graph (, )][DBLP]


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