| 2009 |
17 | | Ogier Maitre,
Nicolas Lachiche,
Philippe Clauss,
Laurent A. Baumes,
Avelino Corma,
Pierre Collet:
Efficient Parallel Implementation of Evolutionary Algorithms on GPGPU Cards.
Euro-Par 2009: 974-985 |
16 | | Ogier Maitre,
Laurent A. Baumes,
Nicolas Lachiche,
Avelino Corma,
Pierre Collet:
Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA.
GECCO 2009: 1403-1410 |
| 2008 |
15 | | Ariel Tchougang,
Alexandre Blansché,
Laurent A. Baumes,
Nicolas Lachiche,
Pierre Collet:
Testing the CAX on a Real-World Problem and Other Benchmarks.
PPSN 2008: 599-609 |
| 2006 |
14 | | Sébastien Derivaux,
Agnès Braud,
Nicolas Lachiche:
Prédiction de la solubilité d'une molécule à partir des seules données relationnelles.
EGC 2006: 669-674 |
13 | | Igor V. Tetko,
Vitaly P. Solov'ev,
Alexey V. Antonov,
Xiaojun Yao,
Jean-Pierre Doucet,
Bo Tao Fan,
Frank Hoonakker,
Denis Fourches,
Piere Jost,
Nicolas Lachiche,
Alexandre Varnek:
Benchmarking of Linear and Nonlinear Approaches for Quantitative Structure-Property Relationship Studies of Metal Complexation with Ionophores.
Journal of Chemical Information and Modeling 46(2): 808-819 (2006) |
| 2005 |
12 | | Nicolas Lachiche:
Good and Bad Practices in Propositionalisation.
AI*IA 2005: 50-61 |
11 | | Nicolas Lachiche,
Jean Hommet,
Jerzy J. Korczak,
Agnès Braud:
Neuronal Clustering of Brain fMRI Images.
PReMI 2005: 300-305 |
| 2004 |
10 | | José Hernández-Orallo,
César Ferri,
Nicolas Lachiche,
Peter A. Flach:
ROC Analysis in Artificial Intelligence, 1st International Workshop, ROCAI-2004, Valencia, Spain, August 22, 2004
ROCAI 2004 |
9 | | Peter A. Flach,
Nicolas Lachiche:
Naive Bayesian Classification of Structured Data.
Machine Learning 57(3): 233-269 (2004) |
8 | | José Hernández-Orallo,
César Ferri,
Nicolas Lachiche,
Peter A. Flach:
The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004).
SIGKDD Explorations 6(2): 159-161 (2004) |
| 2003 |
7 | | Nicolas Lachiche,
Peter A. Flach:
Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves.
ICML 2003: 416-423 |
| 2002 |
6 | | Nicolas Lachiche,
Peter A. Flach:
1BC2: A True First-Order Bayesian Classifier.
ILP 2002: 133-148 |
| 2001 |
5 | | Peter A. Flach,
Nicolas Lachiche:
Confirmation-Guided Discovery of First-Order Rules with Tertius.
Machine Learning 42(1/2): 61-95 (2001) |
| 2000 |
4 | | Peter A. Flach,
Nicolas Lachiche:
Decomposing Probability Distributions on Structured Individuals.
ILP Work-in-progress reports 2000 |
| 1999 |
3 | | Peter A. Flach,
Nicolas Lachiche:
IBC: A First-Order Bayesian Classifier.
ILP 1999: 92-103 |
| 1998 |
2 | | Nicolas Lachiche,
Pierre Marquis:
Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based Characterisation.
ECML 1998: 268-279 |
| 1997 |
1 | | Nicolas Lachiche,
Pierre Marquis:
A Model for Generalization Based on Confirmatory Induction.
ECML 1997: 154-161 |