Florence d'Alché-Buc

2007
17	EE	Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc: Gradient boosting for kernelized output spaces. ICML 2007: 289-296
16	EE	Cédric Auliac, Florence d'Alché-Buc, Vincent Frouin: Learning Transcriptional Regulatory Networks with Evolutionary Algorithms Enhanced with Niching. WILF 2007: 612-619
15	EE	Minh Quach, Nicolas Brunel, Florence d'Alché-Buc: Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference. Bioinformatics 23(23): 3209-3216 (2007)
2006
14		Joaquin Quiñonero Candela, Ido Dagan, Bernardo Magnini, Florence d'Alché-Buc: Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers Springer 2006
13	EE	Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc: Kernelizing the output of tree-based methods. ICML 2006: 345-352
2003
12		Bruno-Edouard Perrin, Liva Ralaivola, Aurélien Mazurie, Samuele Bottani, Jacques Mallet, Florence d'Alché-Buc: Gene networks inference using dynamic Bayesian networks. ECCB 2003: 138-148
11	EE	Marie-Jeanne Lesot, Florence d'Alché-Buc, George Siolas: Evaluation of Topographic Clustering and Its Kernelization. ECML 2003: 265-276
10	EE	Liva Ralaivola, Florence d'Alché-Buc: Dynamical Modeling with Kernels for Nonlinear Time Series Prediction. NIPS 2003
2002
9	EE	George Siolas, Florence d'Alché-Buc: Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling. ICANN 2002: 769-776
2001
8	EE	Liva Ralaivola, Florence d'Alché-Buc: Incremental Support Vector Machine Learning: A Local Approach. ICANN 2001: 322-330
7	EE	Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise: Boosting Mixture Models for Semi-supervised Learning. ICANN 2001: 41-48
6	EE	Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise: Semi-supervised MarginBoost. NIPS 2001: 553-560
2000
5	EE	Georges Siolas, Florence d'Alché-Buc: Support Vector Machines Based on a Semantic Kernel for Text Categorization. IJCNN (5) 2000: 205-209
1997
4		Olivier Gérard, Jean-Noël Patillon, Florence d'Alché-Buc: Neural Network Adaptive Modeling of Battery Discharge Behavior. ICANN 1997: 1095-1100
3		Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari: Optimal Linear Regression on Classifier Outputs. ICANN 1997: 481-486
1994
2	EE	Florence d'Alché-Buc, Vincent Andrés, Jean-Pierre Nadal: Rule Extraction with Fuzzy Neural Network. Int. J. Neural Syst. 5(1): 1-11 (1994)
1	EE	Florence d'Alché-Buc, Didier Zwierski, Jean-Pierre Nadal: Trio Learning: A New Strategy for Building Hybrid Neural Trees. Int. J. Neural Syst. 5(4): 259-274 (1994)

Coauthor Index

1	Christophe Ambroise	[6] [7]
2	Vincent Andrés	[2]
3	Cédric Auliac	[16]
4	Samuele Bottani	[12]
5	Nicolas Brunel	[15]
6	Joaquin Quiñonero Candela	[14]
7	Ido Dagan	[14]
8	Vincent Frouin	[16]
9	Patrick Gallinari	[3]
10	Olivier Gérard	[4]
11	Pierre Geurts	[13] [17]
12	Yves Grandvalet	[6] [7]
13	Yann Guermeur	[3]
14	Marie-Jeanne Lesot	[11]
15	Bernardo Magnini	[14]
16	Jacques Mallet	[12]
17	Aurélien Mazurie	[12]
18	Jean-Pierre Nadal	[1] [2]
19	Jean-Noël Patillon	[4]
20	Bruno-Edouard Perrin	[12]
21	Minh Quach	[15]
22	Liva Ralaivola	[8] [10] [12]
23	George Siolas	[9] [11]
24	Georges Siolas	[5]
25	Louis Wehenkel	[13] [17]
26	Didier Zwierski	[1]

Colors in the list of coauthors