Melanie Hilario

2008
33	EE	Julien Prados, Alexandros Kalousis, Melanie Hilario: Feature Selection with the logRatio Kernel. SDM 2008: 177-187
32	EE	Melanie Hilario, Alexandros Kalousis: Approaches to dimensionality reduction in proteomic biomarker studies. Briefings in Bioinformatics 9(2): 102-118 (2008)
2007
31	EE	Jee-Hyub Kim, Melanie Hilario: Learning Relations and Information Extraction Rules for Protein Annotation. AINA Workshops (1) 2007: 349-354
30	EE	Adam Woznica, Alexandros Kalousis, Melanie Hilario: Learning to combine distances for complex representations. ICML 2007: 1031-1038
29	EE	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
28	EE	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)
2006
27	EE	Julien Prados, Alexandros Kalousis, Melanie Hilario: On Preprocessing of SELDI-MS Data and its Evaluation. CBMS 2006: 953-958
26	EE	Adam Woznica, Alexandros Kalousis, Melanie Hilario: Distances and (Indefinite) Kernels for Sets of Objects. ICDM 2006: 1151-1156
25	EE	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
24	EE	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)
2005
23	EE	Jee-Hyub Kim, Melanie Hilario: Learning Information Extraction Rules for Protein Annotation from Unannotated Corpora. CICLing 2005: 522-534
22		Gilles Cohen, Patrick Ruch, Melanie Hilario: Model Selection for Support Vector Classifiers via Direct Simplex Search. FLAIRS Conference 2005: 431-435
21	EE	Alexandros Kalousis, Julien Prados, Melanie Hilario: Stability of Feature Selection Algorithms. ICDM 2005: 218-225
20	EE	Adam Woznica, Alexandros Kalousis, Melanie Hilario: Kernels over Relational Algebra Structures. PAKDD 2005: 588-598
19	EE	Alexandros Kalousis, Julien Prados, Elton Rexhepaj, Melanie Hilario: Feature Extraction from Mass Spectra for Classification of Pathological States. PKDD 2005: 536-543
18	EE	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)
2004
17	EE	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
16	EE	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
15	EE	Melanie Hilario, Alex Mitchell, Jee-Hyub Kim, Paul Bradley, Terri K. Attwood: Classifying Protein Fingerprints. PKDD 2004: 197-208
14	EE	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
13	EE	Alexandros Kalousis, Joao Gama, Melanie Hilario: On Data and Algorithms: Understanding Inductive Performance. Machine Learning 54(3): 275-312 (2004)
2003
12		Alexandros Kalousis, Melanie Hilario: Representational Issues in Meta-Learning. ICML 2003: 313-320
11	EE	Gilles Cohen, Melanie Hilario, Hugo Sax, Stéphane Hugonnet: Data Imbalance in Surveillance of Nosocomial Infections. ISMDA 2003: 109-117
2002
10	EE	Melanie Hilario: Model Complexity and Algorithm Selection in Classification. Discovery Science 2002: 113-126
2001
9	EE	Alexandros Kalousis, Melanie Hilario: Feature Selection for Meta-learning. PAKDD 2001: 222-233
8	EE	Melanie Hilario, Alexandros Kalousis: Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection. PKDD 2001: 180-191
7		Alexandros Kalousis, Melanie Hilario: Model Selection via Meta-Learning: A Comparative Study. International Journal on Artificial Intelligence Tools 10(4): 525-554 (2001)
2000
6	EE	Alexandros Kalousis, Melanie Hilario: Model selection via meta-learning: a comparative study. ICTAI 2000: 406-413
5	EE	Melanie Hilario, Alexandros Kalousis: Quantifying the Resilience of Inductive Classification Algorithms. PKDD 2000: 106-115
1997
4	EE	Marc Vuilleumier Stückelberg, Christian Pellegrini, Melanie Hilario: An Architecture for Musical Score Recognition using High-Level Domain Knowledge. ICDAR 1997: 813-818
3	EE	Melanie Hilario, Ahmed Rida, Christian Pellegrini: A Metalevel Architecture for Knowledge-Based Neural Network Design. ICTAI 1997: 331-337
2		Melanie Hilario, Ahmed Rida: The Use of Prior Knowledge in Neural Network Configuration and Training. IWANN 1997: 227-236
1995
1		Yannick Lallement, Melanie Hilario, Frédéric Alexandre: Neurosymbolic Integration: Cognitive Grounds and Computational Strategies. WOCFAI 1995: 193-203

Coauthor Index

1	Frédéric Alexandre	[1]
2	Laure Allard	[17]
3	Terri K. Attwood (Teresa K. Attwood)	[15] [18] [29]
4	Paul Bradley	[15]
5	Gilles Cohen	[11] [14] [16] [22] [24]
6	Anna Divoli	[18]
7	João Gama (Joao Gama)	[13]
8	Antoine Geissbühler	[16] [24]
9	Stéphane Hugonnet	[11] [24]
10	Alexandros Kalousis	[5] [6] [7] [8] [9] [12] [13] [17] [19] [20] [21] [25] [26] [27] [28] [30] [32] [33]
11	Jee-Hyub Kim	[15] [18] [23] [29] [31]
12	Yannick Lallement	[1]
13	Alex Mitchell	[15] [18] [29]
14	Christian Pellegrini	[3] [4] [14]
15	Julien Prados	[17] [19] [21] [27] [28] [33]
16	Elton Rexhepaj	[19]
17	Ahmed Rida	[2] [3]
18	Patrick Ruch	[22]
19	Jean-Charles Sanchez	[17]
20	Hugo Sax	[11] [24]
21	I. Selimas	[18]
22	Marc Vuilleumier Stückelberg	[4]
23	Adam Woznica	[20] [25] [26] [30]

Colors in the list of coauthors