Michèle Sebag
Affiliations:- University of Paris-Sud, Laboratory for Computer Science (LRI), France
According to our database1,
Michèle Sebag
authored at least 216 papers
between 1990 and 2024.
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Online presence:
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on id.loc.gov
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on d-nb.info
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on lri.fr
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Bibliography
2024
CoRR, 2024
Proceedings of the Reachability Problems - 18th International Conference, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Bioinform., 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 9ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2023
Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023
2022
J. Mach. Learn. Res., 2022
High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition.
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
IEEE Computer Graphics and Applications, 2021
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021
Iterative Learning for Model Reactive Control: Application to Autonomous Multi-agent Control.
Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021
I2SL: Learn How to Swarm Autonomous Quadrotors Using Iterative Imitation Supervised Learning.
Proceedings of the Progress in Artificial Intelligence, 2021
Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion.
Proceedings of the Causal Analysis Workshop Series, 2021
Proceedings of the Causal Analysis Workshop Series, 2021
2020
Frontiers Big Data, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
CoRR, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
From Abstract Items to Latent Spaces to Observed Data and Back: Compositional Variational Auto-Encoder.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Cause Effect Pairs in Machine Learning, 2019
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019
Proceedings of the Cause Effect Pairs in Machine Learning, 2019
2018
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations.
Signal Process., 2017
ASAP.V2 and ASAP.V3: Sequential optimization of an Algorithm Selector and a Scheduler.
Proceedings of the Open Algorithm Selection Challenge 2017, 2017
Language Modelling for Collaborative Filtering: Application to Job Applicant Matching.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention.
Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016
Proceedings of the GCAI 2016. 2nd Global Conference on Artificial Intelligence, September 19, 2016
2015
Interactive Metric Learning-Based Visual Data Exploration: Application to the Visualization of a Scientific Social Network.
Proceedings of the Information Search, Integration, and Personalization, 2015
Collaborative Algorithm Platforms.
Proceedings of the DATA 2015, 2015
2014
Proceedings of the Growing Adaptive Machines, 2014
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Experimental Design in Dynamical System Identification: A Bandit-Based Active Learning Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Combination of One-Class Support Vector Machines for Classification with Reject Option.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Business Process Management - 12th International Conference, 2014
2013
Hypervolume indicator and dominance reward based multi-objective Monte-Carlo Tree Search.
Mach. Learn., 2013
CoRR, 2013
Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop Problem.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Multi-dimensional sparse structured signal approximation using split bregman iterations.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es).
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Principles and Practice of Constraint Programming, 2013
Proceedings of the Ambient Intelligence - 4th International Joint Conference, 2013
Proceedings of the Asian Conference on Machine Learning, 2013
2012
Proceedings of the 4th Asian Conference on Machine Learning, 2012
Commun. ACM, 2012
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
BenchNN: On the broad potential application scope of hardware neural network accelerators.
Proceedings of the 2012 IEEE International Symposium on Workload Characterization, 2012
Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
Proceedings of the Autonomous Search, 2012
Proceedings of the Autonomous Search, 2012
2011
Single trial variability in brain-computer interfaces based on motor imagery: Learning in the presence of labeling noise.
Int. J. Imaging Syst. Technol., 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the Computer and Information Sciences II, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
Proceedings of the 11th IEEE/ACM International Symposium on Cluster, 2011
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Data Min. Knowl. Discov., 2010
Ann. Math. Artif. Intell., 2010
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Parallel Problem Solving from Nature, 2010
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Workshop on Constraint Based Methods for Bioinformatics, 2010
Proceedings of the ICDM 2010, 2010
Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Fitness-AUC bandit adaptive strategy selection vs. the probability matching one within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the ECAI 2010, 2010
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010
2009
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Analysis of adaptive operator selection techniques on the royal road and long k-path problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
Proceedings of the 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009
2008
IEEE Trans. Knowl. Data Eng., 2008
J. Intell. Inf. Syst., 2008
Proceedings of the STAIRS 2008, 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Evolutionary Test Generation, 24.08. - 29.08.2008, 2008
2007
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007
Proceedings of the IJCAI 2007, 2007
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007
2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
2005
From Factorial and Hierarchical HMM to Bayesian Network: A Representation Change Algorithm.
Proceedings of the Abstraction, 2005
A Multi-Objective Multi-Modal Optimization Approach for Mining Stable Spatio-Temporal Patterns.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Inférence dans les HMM hiérarchiques et factorisés : changement de représentation vers le formalisme des Réseaux Bayésiens.
Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005
Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data.
Proceedings of the Applications of Evolutionary Computing, 2005
Multi-objective Multi-modal Optimization for Mining Spatio-temporal Patterns.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005
Phase transitions in grammatical inference.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005
HMM hiérarchiques et factorisés: mécanisme d'inférence et apprentissage à partir de peu de données.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005
Systèmes inductifs-déductifs: une approche statistique.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005
2004
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach.
Proceedings of the ROC Analysis in Artificial Intelligence, 1st International Workshop, 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
Robotics and Multi-agent Systems Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics.
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
Learning to Order Terms: Supervised Interestingness Measures in Terminology Extraction
Proceedings of the International Conference on Computational Intelligence, 2004
Proceedings of the Machine Learning, 2004
DRYADE: A New Approach for Discovering Closed Frequent Trees in Heterogeneous Tree Databases.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004
2003
Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Nouveaux résultats en classification à l'aide d'un codage par motifs fréquents.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003
Fouille de données visuelle et analyse de facteurs de risque médical.
Proceedings of the Extraction et gestion des connaissances (EGC'2003), 2003
Proceedings of the Applications of Evolutionary Computing, 2003
Proceedings of the Artificial Evolution, 2003
2002
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
Constraint-based Learning of Long Relational Concepts.
Proceedings of the Machine Learning, 2002
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
2001
Grammar-guided genetic programming and dimensional consistency: application to non-parametric identification in mechanics.
Appl. Soft Comput., 2001
Proceedings of the Inductive Logic Programming, 11th International Conference, 2001
Proceedings of the IJCAI'2001 Workshop on Ontology Learning, 2001
Proceedings of the Artificial Evolution, 2001
2000
Any-time Relational Reasoning: Resource-bounded Induction and Deduction Through Stochastic Matching.
Mach. Learn., 2000
Genetic Programming and Domain Knowledge: Beyond the Limitations of Grammar-Guided Machine Discovery.
Proceedings of the Parallel Problem Solving from Nature, 2000
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000
Analyzing Relational Learning in the Phase Transition Framework.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the 2000 Congress on Evolutionary Computation, 2000
1999
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999
Proceedings of the AI*IA 99:Advances in Artificial Intelligence, 1999
1998
Int. J. Pattern Recognit. Artif. Intell., 1998
Proceedings of the Parallel Problem Solving from Nature, 1998
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
1997
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997
Toward Civilized Evolution: Developing Inhibitions.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997
Proceedings of the Evolutionary Programming VI, 6th International Conference, 1997
Proceedings of the Artificial Evolution, Third European Conference, 1997
1996
Proceedings of the Learning and Reasoning with Complex Representations, 1996
Proceedings of the Parallel Problem Solving from Nature, 1996
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996
Delaying the Choice of Bias: A Disjunctive Version Space Approach.
Proceedings of the Machine Learning, 1996
An Advanced Evolution Should Not Repeat its Past Errors.
Proceedings of the Machine Learning, 1996
Controlling Evolution by Means of Machine Learning.
Proceedings of the Fifth Annual Conference on Evolutionary Programming, 1996
1995
Proceedings of the Machine Learning: ECML-95, 1995
Proceedings of the Artificial Evolution, European Conference, 1995
1994
Proceedings of the Parallel Problem Solving from Nature, 1994
Proceedings of the Machine Learning, 1994
Proceedings of the Machine Learning: ECML-94, 1994
1993
Proceedings of the Topics in Case-Based Reasoning, First European Workshop, 1993
1992
Learning to Control Inconsistent Knowledge.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992
1991
Using Examples to Refine a Redundant Knowledge Base.
Proceedings of the European Workshop on the Verification and Validation of Knowledge-Based Systems, 1991
1990
Proceedings of the Machine Learning, 1990