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Cesare Furlanello: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Annalisa Barla, Bettina Irler, Stefano Merler, Giuseppe Jurman, Silvano Paoli, Cesare Furlanello
    Proteome Profiling without Selection Bias. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:941-946 [Conf]
  2. Stefano Merler, Cesare Furlanello, Giuseppe Jurman
    Machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2005, pp:735-742 [Conf]
  3. Bruno Crespi, Cesare Furlanello, Luigi Stringa
    Memory-Based Navigation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1654-1660 [Conf]
  4. Anio O. Arigoni, Cesare Furlanello, Vittorio Maniezzo
    Incremental Learning of Roughly Represented Concepts. [Citation Graph (0, 0)][DBLP]
    IPMU, 1992, pp:192-198 [Conf]
  5. Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Daniele Falavigna
    Application of Generalized Radial Basis Functions In Speaker Normalization and Identification. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1995, pp:1704-1707 [Conf]
  6. Bruno Caprile, Cesare Furlanello, Stefano Merler
    Highlighting Hard Patterns via AdaBoost Weights Evolution. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:72-80 [Conf]
  7. Bruno Caprile, Stefano Merler, Cesare Furlanello, Giuseppe Jurman
    Exact Bagging with k-Nearest Neighbour Classifiers. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:72-81 [Conf]
  8. Cesare Furlanello, Stefano Merler
    Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2000, pp:220-229 [Conf]
  9. Stefano Merler, Cesare Furlanello, Barbara Larcher, Andrea Sboner
    Tuning Cost-Sensitive Boosting and Its Application to Melanoma Diagnosis. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:32-42 [Conf]
  10. Cesare Furlanello, Diego Giuliani, Edmondo Trentin
    Connectionist Speaker Normalization with Generalized Resource Allocating Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:865-874 [Conf]
  11. Silvano Paoli, Giuseppe Jurman, Davide Albanese, Stefano Merler, Cesare Furlanello
    Semisupervised Profiling of Gene Expressions and Clinical Data. [Citation Graph (0, 0)][DBLP]
    WILF, 2005, pp:284-289 [Conf]
  12. Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
    Entropy-based gene ranking without selection bias for the predictive classification of microarray data. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2003, v:4, n:, pp:54- [Journal]
  13. Cesare Furlanello, Diego Giuliani, Edmondo Trentin, Stefano Merler
    Speaker Normalization and Model Selection of Combined Neural Networks. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 1997, v:9, n:1, pp:31-50 [Journal]
  14. Bruno Caprile, Cesare Furlanello, Stefano Merler
    The Dynamics of AdaBoost Weights Tells You What's Hard to Classify [Citation Graph (0, 0)][DBLP]
    CoRR, 2002, v:0, n:, pp:- [Journal]
  15. Stefano Merler, Bruno Caprile, Cesare Furlanello
    Bias-Variance Control Via Hard Points Shaving. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:5, pp:891-903 [Journal]
  16. Stefano Merler, Cesare Furlanello, Barbara Larcher, Andrea Sboner
    Automatic model selection in cost-sensitive boosting. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2003, v:4, n:1, pp:3-10 [Journal]
  17. Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
    An accelerated procedure for recursive feature ranking on microarray data. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:5-6, pp:641-648 [Journal]
  18. Cesare Furlanello, Maria Serafini, Stefano Merler, Giuseppe Jurman
    Semisupervised Learning for Molecular Profiling. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:2, pp:110-118 [Journal]
  19. Stefano Merler, Bruno Caprile, Cesare Furlanello
    Parallelizing AdaBoost by weights dynamics. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2007, v:51, n:5, pp:2487-2498 [Journal]
  20. Stefano Merler, Giuseppe Jurman, Cesare Furlanello
    Deriving the Kernel from Training Data. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:32-41 [Conf]

  21. Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products. [Citation Graph (, )][DBLP]


  22. A memory-based approach to navigation. [Citation Graph (, )][DBLP]


  23. Machine learning methods for predictive proteomics. [Citation Graph (, )][DBLP]


  24. Algebraic stability indicators for ranked lists in molecular profiling. [Citation Graph (, )][DBLP]


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