About
Discord Stateoftheart AI
GitHub

Publications

327

Cited by

6421

Michele Sebag

machine learning
University of Paris-Sud

France

Papers and Citations

1 - 50
Extending population-based incremental learning to continuous search spaces
1998
Michele Sebag
A Ducoulombier
Cited by 304
Treefinder: a first step towards xml data mining
2002
Michele Sebag
Marie-Christine Rousset
Alexandre Termier
Cited by 272
The grand challenge of computer Go: Monte Carlo tree search and extensions
2012
Marc Schoenauer
Sylvain Gelly
Michele Sebag
+4
Cited by 234
Collaborative hyperparameter tuning
2013
Michele Sebag
Rémi Bardenet
B Kégl
+1
Cited by 212
Adaptive operator selection with dynamic multi-armed bandits
2008
Marc Schoenauer
Michele Sebag
L DaCosta
+1
Cited by 148
Analyzing bandit-based adaptive operator selection mechanisms
2010
Marc Schoenauer
Álvaro Fialho
Michele Sebag
+1
Cited by 124
BenchNN: On the broad potential application scope of hardware neural network accelerators
2012
Michele Sebag
Yunji Chen
Andrew Nere
+7
Cited by 109
Data streaming with affinity propagation
2008
Michele Sebag
Furtlehner
Xiangliang Zhang
Cited by 106
Grammatical Inference
2010
L Saitta
Michele Sebag
Cited by 104
Compact unstructured representations for evolutionary design
2002
H Hamda
Marc Schoenauer
Evelyne Lutton
+2
Cited by 102
Extreme value based adaptive operator selection
2008
Álvaro Fialho
Marc Schoenauer
Michele Sebag
+1
Cited by 101
DRYADE: a new approach for discovering closed frequent trees in heterogeneous tree databases
2004
Marie-Christine Rousset
Michele Sebag
Alexandre Termier
Cited by 92
Feature selection as a one-player game
2010
Romaric Gaudel
Michele Sebag
Cited by 91
Distance induction in first order logic
1997
Michele Sebag
Cited by 88
Scalability and efficiency in multi-relational data mining
2003
Michele Sebag
Hendrik Blockeel
Cited by 88
April: Active preference learning-based reinforcement learning
2012
Riad Akrour
Marc Schoenauer
Michele Sebag
Cited by 87
Preference-based policy learning
2011
Michele Sebag
Marc Schoenauer
Riad Akrour
Cited by 87
Data stream clustering with affinity propagation
2013
Furtlehner
Cecile Germain-Renaud
Xiangliang Zhang
+2
Cited by 86
Multi-armed bandit, dynamic environments and meta-bandits
2006
Sylvain Gelly
Nicolas Baskiotis
Michele Sebag
+2
Cited by 85
Ensemble feature ranking
2004
Antoine Cornuéjols
Kees Jong
Elena Marchiori
+3
Cited by 81
Delaying the choice of bias: A disjunctive version space approach
1996
Michele Sebag
Cited by 77
Fast theta-subsumption with constraint satisfaction algorithms
2004
Michele Sebag
J Maloberti
Cited by 77
Feature selection in proteomic pattern data with support vector machines
2004
K Jong
A Van Der Vaart
Michele Sebag
+1
Cited by 74
Self-adaptive surrogate-assisted covariance matrix adaptation evolution strategy
2012
Michele Sebag
Marc Schoenauer
Ilya Loshchilov
Cited by 73
Avoiding the bloat with stochastic grammar-based genetic programming
2001
Michele Sebag
A Ratle
Cited by 71
Genetic programming and domain knowledge: Beyond the limitations of grammar-guided machine discovery
2000
A Ratle
Michele Sebag
Cited by 70
K-AP: generating specified K clusters by efficient affinity propagation
2010
K Norvag
Michele Sebag
Xiangliang Zhang
+1
Cited by 70
Extreme compass and dynamic multi-armed bandits for adaptive operator selection
2009
Marc Schoenauer
Michele Sebag
Álvaro Fialho
+2
Cited by 66
A mono surrogate for multiobjective optimization
2010
Michele Sebag
Ilya Loshchilov
Marc Schoenauer
Cited by 65
Exploration vs exploitation vs safety: Risk-aware multi-armed bandits
2013
Michele Sebag
Olivier Teytaud
N Galichet
Cited by 65
Comparison-based optimizers need comparison-based surrogates
2010
Ilya Loshchilov
Marc Schoenauer
Michele Sebag
Cited by 64
A distributed resource evolutionary algorithm machine (DREAM)
2000
AE Eiben
Terry C Fogarty
Juan J Merelo
+4
Cited by 64
Controlling crossover through inductive learning
1994
Marc Schoenauer
Michele Sebag
Cited by 60
Dynamic multi-armed bandits and extreme value-based rewards for adaptive operator selection in evolutionary algorithms
2009
L Da Costa
Álvaro Fialho
Michele Sebag
+1
Cited by 59
Learning functional causal models with generative neural networks
2018
Philippe Caillou
David Lopez-Paz
Olivier Goudet
+4
Cited by 59
Relational learning as search in a critical region
2003
Michele Sebag
A Giordana
L Saitta
+1
Cited by 58
Resource-bounded relational reasoning: Induction and deduction through stochastic matching
2000
Michele Sebag
Celine Rouveirol
Cited by 56
Xyleme, a dynamic warehouse for XML data of the Web
2001
C-C Kanne
V Aguilera
D Le Niniven
+23
Cited by 56
Analysis of the AutoML Challenge Series
2019
Isabelle Guyon
Sergio Escalera
Alexander Statnikov
+10
Cited by 56
Multi-objective monte-carlo tree search
2012
Guisheng Wang
Michele Sebag
Cited by 54
Evolutionary identification of macro-mechanical models
1996
B Lamy
H Maitournam
Marc Schoenauer
+2
Cited by 53
Toward comparison-based adaptive operator selection
2010
Michele Sebag
Álvaro Fialho
Marc Schoenauer
Cited by 51
Dryadeparent, an efficient and robust closed attribute tree mining algorithm
2008
T Washio
K Ohara
Hiroshi Motoda
+3
Cited by 51
Hypervolume indicator and dominance reward based multi-objective Monte-Carlo Tree Search
2013
Michele Sebag
Guisheng Wang
Cited by 49
A brief review of the ChaLearn AutoML challenge: any-time any-dataset learning without human intervention
2016
Núria Macià
Imad Chaabane
Bisakha Ray
+10
Cited by 48
Change point detection and meta-bandits for online learning in dynamic environments
2007
C Hartland
Michele Sebag
Olivier Teytaud
+2
Cited by 48
A rule-based similarity measure
1993
Marc Schoenauer
Michele Sebag
Cited by 45
ROC-based evolutionary learning: Application to medical data mining
2003
Michele Sebag
J�r�me Az�
N Lucas
Cited by 44
Bi-population CMA-ES agorithms with surrogate models and line searches
2013
Marc Schoenauer
Ilya Loshchilov
Michele Sebag
Cited by 42
Adaptive coordinate descent
2011
Ilya Loshchilov
Michele Sebag
Marc Schoenauer
Cited by 41