Melanie Hilario

Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis: Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining. ICDM 2012: 1026-1031

Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis: Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining. CoRR abs/1210.1317 (2012)

Melanie Hilario, Phong Nguyen, Huyen Do, Adam Woznica, Alexandros Kalousis: Ontology-Based Meta-Mining of Knowledge Discovery Workflows. Meta-Learning in Computational Intelligence 2011: 273-315

Adam Woznica, Alexandros Kalousis, Melanie Hilario: Adaptive Matching Based Kernels for Labelled Graphs. PAKDD (2) 2010: 374-385

Huyen Do, Alexandros Kalousis, Melanie Hilario: Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs. ECML/PKDD (1) 2009: 315-329

Huyen Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario: Margin and Radius Based Multiple Kernel Learning. ECML/PKDD (1) 2009: 330-343

Melanie Hilario, Alexandros Kalousis: Approaches to dimensionality reduction in proteomic biomarker studies. Briefings in Bioinformatics 9(2): 102-118 (2008)

Julien Prados, Alexandros Kalousis, Melanie Hilario: Feature Selection with the logRatio Kernel. SDM 2008: 177-187

Alexandros Kalousis, Julien Prados, Melanie Hilario: Stability of feature selection algorithms: a study on high-dimensional spaces. Knowl. Inf. Syst. 12(1): 95-116 (2007)

Jee-Hyub Kim, Melanie Hilario: Learning Relations and Information Extraction Rules for Protein Annotation. AINA Workshops (1) 2007: 349-354

Adam Woznica, Alexandros Kalousis, Melanie Hilario: Learning to combine distances for complex representations. ICML 2007: 1031-1038

Jee-Hyub Kim, Alex Mitchell, Teresa K. Attwood, Melanie Hilario: Learning to extract relations for protein annotation. ISMB/ECCB (Supplement of Bioinformatics) 2007: 256-263

Gilles Cohen, Melanie Hilario, Hugo Sax, Stéphane Hugonnet, Antoine Geissbühler: Learning from imbalanced data in surveillance of nosocomial infection. Artificial Intelligence in Medicine 37(1): 7-18 (2006)

Julien Prados, Alexandros Kalousis, Melanie Hilario: On Preprocessing of SELDI-MS Data and its Evaluation. CBMS 2006: 953-958

Adam Woznica, Alexandros Kalousis, Melanie Hilario: Distances and (Indefinite) Kernels for Sets of Objects. ICDM 2006: 1151-1156

Adam Woznica, Alexandros Kalousis, Melanie Hilario: Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints. PAKDD 2006: 546-551

Alex Mitchell, Anna Divoli, Jee-Hyub Kim, Melanie Hilario, I. Selimas, Teresa K. Attwood: METIS: multiple extraction techniques for informative sentences. Bioinformatics 21(22): 4196-4197 (2005)

Jee-Hyub Kim, Melanie Hilario: Learning Information Extraction Rules for Protein Annotation from Unannotated Corpora. CICLing 2005: 522-534

Gilles Cohen, Patrick Ruch, Melanie Hilario: Model Selection for Support Vector Classifiers via Direct Simplex Search. FLAIRS Conference 2005: 431-435

Alexandros Kalousis, Julien Prados, Melanie Hilario: Stability of Feature Selection Algorithms. ICDM 2005: 218-225

Adam Woznica, Alexandros Kalousis, Melanie Hilario: Kernels over Relational Algebra Structures. PAKDD 2005: 588-598

Alexandros Kalousis, Julien Prados, Elton Rexhepaj, Melanie Hilario: Feature Extraction from Mass Spectra for Classification of Pathological States. PKDD 2005: 536-543

Alexandros Kalousis, Joao Gama, Melanie Hilario: On Data and Algorithms: Understanding Inductive Performance. Machine Learning 54(3): 275-312 (2004)

Alexandros Kalousis, Julien Prados, Jean-Charles Sanchez, Laure Allard, Melanie Hilario: Distilling Classification Models from Cross Validation Runs: An Application to Mass Spectrometry. ICTAI 2004: 113-119

Gilles Cohen, Melanie Hilario, Antoine Geissbühler: Model Selection for Support Vector Classifiers via Genetic Algorithms. An Application to Medical Decision Support. ISBMDA 2004: 200-211

Melanie Hilario, Alex Mitchell, Jee-Hyub Kim, Paul Bradley, Terri K. Attwood: Classifying Protein Fingerprints. PKDD 2004: 197-208

Gilles Cohen, Melanie Hilario, Christian Pellegrini: One-Class Support Vector Machines with a Conformal Kernel. A Case Study in Handling Class Imbalance. SSPR/SPR 2004: 850-858

Alexandros Kalousis, Melanie Hilario: Representational Issues in Meta-Learning. ICML 2003: 313-320

Gilles Cohen, Melanie Hilario, Hugo Sax, Stéphane Hugonnet: Data Imbalance in Surveillance of Nosocomial Infections. ISMDA 2003: 109-117

Melanie Hilario: Model Complexity and Algorithm Selection in Classification. Discovery Science 2002: 113-126

Alexandros Kalousis, Melanie Hilario: Model Selection via Meta-Learning: A Comparative Study. International Journal on Artificial Intelligence Tools 10(4): 525-554 (2001)

Alexandros Kalousis, Melanie Hilario: Feature Selection for Meta-learning. PAKDD 2001: 222-233

Melanie Hilario, Alexandros Kalousis: Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection. PKDD 2001: 180-191

Alexandros Kalousis, Melanie Hilario: Model selection via meta-learning: a comparative study. ICTAI 2000: 406-413

Melanie Hilario, Alexandros Kalousis: Quantifying the Resilience of Inductive Classification Algorithms. PKDD 2000: 106-115

Marc Vuilleumier Stückelberg, Christian Pellegrini, Melanie Hilario: An Architecture for Musical Score Recognition using High-Level Domain Knowledge. ICDAR 1997: 813-818

Melanie Hilario, Ahmed Rida, Christian Pellegrini: A Metalevel Architecture for Knowledge-Based Neural Network Design. ICTAI 1997: 331-337

Melanie Hilario, Ahmed Rida: The Use of Prior Knowledge in Neural Network Configuration and Training. IWANN 1997: 227-236

Melanie Hilario, Yannick Lallement, Frédéric Alexandre: Neurosymbolic integration: unified versus hybrid approaches. ESANN 1995

Yannick Lallement, Melanie Hilario, Frédéric Alexandre: Neurosymbolic Integration: Cognitive Grounds and Computational Strategies. WOCFAI 1995: 193-203