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Melanie Hilario: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jee-Hyub Kim, Melanie Hilario
    Learning Relations and Information Extraction Rules for Protein Annotation. [Citation Graph (0, 0)][DBLP]
    AINA Workshops (1), 2007, pp:349-354 [Conf]
  2. Julien Prados, Alexandros Kalousis, Melanie Hilario
    On Preprocessing of SELDI-MS Data and its Evaluation. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:953-958 [Conf]
  3. Jee-Hyub Kim, Melanie Hilario
    Learning Information Extraction Rules for Protein Annotation from Unannotated Corpora. [Citation Graph (0, 0)][DBLP]
    CICLing, 2005, pp:522-534 [Conf]
  4. Melanie Hilario
    Model Complexity and Algorithm Selection in Classification. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2002, pp:113-126 [Conf]
  5. Gilles Cohen, Patrick Ruch, Melanie Hilario
    Model Selection for Support Vector Classifiers via Direct Simplex Search. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:431-435 [Conf]
  6. Marc Vuilleumier Stückelberg, Christian Pellegrini, Melanie Hilario
    An Architecture for Musical Score Recognition using High-Level Domain Knowledge. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1997, pp:813-818 [Conf]
  7. Alexandros Kalousis, Julien Prados, Melanie Hilario
    Stability of Feature Selection Algorithms. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:218-225 [Conf]
  8. Adam Woznica, Alexandros Kalousis, Melanie Hilario
    Distances and (Indefinite) Kernels for Sets of Objects. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1151-1156 [Conf]
  9. Alexandros Kalousis, Melanie Hilario
    Representational Issues in Meta-Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:313-320 [Conf]
  10. Melanie Hilario, Ahmed Rida, Christian Pellegrini
    A Metalevel Architecture for Knowledge-Based Neural Network Design. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1997, pp:331-337 [Conf]
  11. Alexandros Kalousis, Melanie Hilario
    Model selection via meta-learning: a comparative study. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2000, pp:406-413 [Conf]
  12. Alexandros Kalousis, Julien Prados, Jean-Charles Sanchez, Laure Allard, Melanie Hilario
    Distilling Classification Models from Cross Validation Runs: An Application to Mass Spectrometry. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2004, pp:113-119 [Conf]
  13. Gilles Cohen, Melanie Hilario, Hugo Sax, Stéphane Hugonnet
    Data Imbalance in Surveillance of Nosocomial Infections. [Citation Graph (0, 0)][DBLP]
    ISMDA, 2003, pp:109-117 [Conf]
  14. Gilles Cohen, Melanie Hilario, Antoine Geissbühler
    Model Selection for Support Vector Classifiers via Genetic Algorithms. An Application to Medical Decision Support. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2004, pp:200-211 [Conf]
  15. Melanie Hilario, Ahmed Rida
    The Use of Prior Knowledge in Neural Network Configuration and Training. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:227-236 [Conf]
  16. Alexandros Kalousis, Melanie Hilario
    Feature Selection for Meta-learning. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:222-233 [Conf]
  17. Adam Woznica, Alexandros Kalousis, Melanie Hilario
    Kernels over Relational Algebra Structures. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:588-598 [Conf]
  18. Adam Woznica, Alexandros Kalousis, Melanie Hilario
    Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:546-551 [Conf]
  19. Alexandros Kalousis, Julien Prados, Elton Rexhepaj, Melanie Hilario
    Feature Extraction from Mass Spectra for Classification of Pathological States. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:536-543 [Conf]
  20. Melanie Hilario, Alexandros Kalousis
    Quantifying the Resilience of Inductive Classification Algorithms. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:106-115 [Conf]
  21. Melanie Hilario, Alexandros Kalousis
    Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection. [Citation Graph (0, 0)][DBLP]
    PKDD, 2001, pp:180-191 [Conf]
  22. Melanie Hilario, Alex Mitchell, Jee-Hyub Kim, Paul Bradley, Terri K. Attwood
    Classifying Protein Fingerprints. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:197-208 [Conf]
  23. Gilles Cohen, Melanie Hilario, Christian Pellegrini
    One-Class Support Vector Machines with a Conformal Kernel. A Case Study in Handling Class Imbalance. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:850-858 [Conf]
  24. Yannick Lallement, Melanie Hilario, Frédéric Alexandre
    Neurosymbolic Integration: Cognitive Grounds and Computational Strategies. [Citation Graph (0, 0)][DBLP]
    WOCFAI, 1995, pp:193-203 [Conf]
  25. Gilles Cohen, Melanie Hilario, Hugo Sax, Stéphane Hugonnet, Antoine Geissbühler
    Learning from imbalanced data in surveillance of nosocomial infection. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:1, pp:7-18 [Journal]
  26. Alex Mitchell, Anna Divoli, Jee-Hyub Kim, Melanie Hilario, I. Selimas, Teresa K. Attwood
    METIS: multiple extraction techniques for informative sentences. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:22, pp:4196-4197 [Journal]
  27. Alexandros Kalousis, Melanie Hilario
    Model Selection via Meta-Learning: A Comparative Study. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2001, v:10, n:4, pp:525-554 [Journal]
  28. Alexandros Kalousis, Joao Gama, Melanie Hilario
    On Data and Algorithms: Understanding Inductive Performance. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:54, n:3, pp:275-312 [Journal]
  29. Adam Woznica, Alexandros Kalousis, Melanie Hilario
    Learning to combine distances for complex representations. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1031-1038 [Conf]
  30. Alexandros Kalousis, Julien Prados, Melanie Hilario
    Stability of feature selection algorithms: a study on high-dimensional spaces. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2007, v:12, n:1, pp:95-116 [Journal]

  31. Learning to extract relations for protein annotation. [Citation Graph (, )][DBLP]

  32. Adaptive Matching Based Kernels for Labelled Graphs. [Citation Graph (, )][DBLP]

  33. Margin and Radius Based Multiple Kernel Learning. [Citation Graph (, )][DBLP]

  34. Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs. [Citation Graph (, )][DBLP]

  35. Feature Selection with the logRatio Kernel. [Citation Graph (, )][DBLP]

  36. Approaches to dimensionality reduction in proteomic biomarker studies. [Citation Graph (, )][DBLP]

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