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Giuseppe Jurman: [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 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]
  4. 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]
  5. 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]
  6. 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]
  7. Stefano Merler, Giuseppe Jurman
    Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:10, pp:1597-1611 [Journal]
  8. 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]
  9. Stefano Merler, Giuseppe Jurman, Cesare Furlanello
    Deriving the Kernel from Training Data. [Citation Graph (0, 0)][DBLP]
    MCS, 2007, pp:32-41 [Conf]

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


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


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