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Stefano Rovetta: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Guido Rovetta, Patrizia Monteforte, Gerolamo Bianchi, Stefano Rovetta, Rodolfo Zunino
    Validation of a Large Medical Database. [Citation Graph (0, 0)][DBLP]
    CBMS, 1995, pp:57-64 [Conf]
  2. Stefano Rovetta, Rodolfo Zunino, Laura Buffrini, Guido Rovetta
    Prototyping Neural Networks Learn Lyme Borreliosis. [Citation Graph (0, 0)][DBLP]
    CBMS, 1995, pp:111-117 [Conf]
  3. 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]
  4. Fabio Ancona, Stefano Rovetta, Rodolfo Zunino
    High performance in tree-based parallel architectures. [Citation Graph (0, 0)][DBLP]
    EUROMICRO, 1997, pp:474-481 [Conf]
  5. Fabio Ancona, Giorgio Oddone, Stefano Rovetta, Gianni Uneddu, Rodolfo Zunino
    VLSI Architectures for Programmable Sorting of Analog Quantities with Multiple-Chip Support. [Citation Graph (0, 0)][DBLP]
    Great Lakes Symposium on VLSI, 1997, pp:94-99 [Conf]
  6. Giuliano Donzellini, Stefano Nervi, Domenico Ponta, Sergio Rossi, Stefano Rovetta
    Object Oriented ARM7 Coprocessor. [Citation Graph (0, 0)][DBLP]
    HICSS (3), 1998, pp:243-252 [Conf]
  7. Sandro Ridella, Stefano Rovetta, Rodolfo Zunino
    The K-Winner Machine Model. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:106-113 [Conf]
  8. Stefano Rovetta, Rodolfo Zunino
    Analog vector quantization chip for flexible video compression systems. [Citation Graph (0, 0)][DBLP]
    ISCAS (4), 1999, pp:367-370 [Conf]
  9. Rodolfo Zunino, Stefano Rovetta
    Visual location of license plates by vector quantization. [Citation Graph (0, 0)][DBLP]
    ISCAS (4), 1999, pp:135-138 [Conf]
  10. Stefano Rovetta, Rodolfo Zunino
    VLSI circuits with fractal layout for spatial image decorrelation. [Citation Graph (0, 0)][DBLP]
    ISCAS (4), 1999, pp:110-113 [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. 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]
  13. Francesco Masulli, Stefano Rovetta
    Fuzzy Concepts in Vector Quantization Training. [Citation Graph (0, 0)][DBLP]
    WILF, 2003, pp:279-288 [Conf]
  14. Stefano Rovetta, Francesco Masulli, Maurizio Filippone
    Soft Rank Clustering. [Citation Graph (0, 0)][DBLP]
    WIRN/NAIS, 2005, pp:207-213 [Conf]
  15. Francesco Masulli, Stefano Rovetta
    An Algorithm to Model Paradigm Shifting in Fuzzy Clustering. [Citation Graph (0, 0)][DBLP]
    WIRN, 2003, pp:70-76 [Conf]
  16. Francesco Masulli, Stefano Rovetta
    Gene Selection Using Random Voronoi Ensembles. [Citation Graph (0, 0)][DBLP]
    WIRN, 2003, pp:302-307 [Conf]
  17. 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]
  18. 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]
  19. Fabio Ancona, Stefano Rovetta, Rodolfo Zunino
    An Image-Recognition System Implemented on Hierarchical Parallel Architectures. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1998, v:12, n:3, pp:293-310 [Journal]
  20. 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]
  21. Fabio Ancona, Anna Maria Colla, Stefano Rovetta, Rodolfo Zunino
    Implementing Probabilistic Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1997, v:5, n:3, pp:152-159 [Journal]
  22. Sandro Ridella, Stefano Rovetta, Rodolfo Zunino
    Adaptive Internal Representation in Circular Back-Propagation Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1995, v:3, n:4, pp:222-333 [Journal]
  23. Sandro Ridella, Stefano Rovetta, Rodolfo Zunino
    Plastic Algorithm for Adaptive Vector Quantisation. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1998, v:7, n:1, pp:37-51 [Journal]
  24. Fabio Ancona, Stefano Rovetta, Rodolfo Zunino
    Transputer-Based Implementation of Distributed Associative Memories. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1997, v:23, n:10, pp:1479-1491 [Journal]
  25. 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]
  26. 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]
  27. Maurizio Filippone, Francesco Masulli, Stefano Rovetta
    Possibilistic Clustering in Feature Space. [Citation Graph (0, 0)][DBLP]
    WILF, 2007, pp:219-226 [Conf]
  28. 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]

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

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

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

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

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

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

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