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hal-01184805v1  Journal articles
Olivier GascuelBernadette Bouchon-MeunierGilles CarauxPatrick GallinariAlain Guénoche et al.  Twelve numerical, symbolic and hybrid supervised classification methods
International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 1998, 12 (5), pp.517-572. ⟨10.1142/S0218001498000336⟩
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hal-00553448v1  Conference papers
Cedric Gouy-PaillerMichèle SebagAntoine SouloumiacAnthony Larue. Ensemble learning for brain computer-interface using uncooperative democratic echo state communities
Cinquième conférence plénière française de Neurosciences Computationnelles, "Neurocomp'10", Aug 2010, Lyon, France
inria-00174286v1  Conference papers
Xiangliang ZhangMichèle SebagCécile Germain. Fault Detection and Diagnosis from the Logging and Bookkeping Data
2nd EGEE User Forum, May 2007, Manchester, United Kingdom
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inria-00173263v1  Conference papers
Olivier TeytaudSylvain GellyMichèle Sebag. Anytime many-armed bandits
CAP07, 2007, Grenoble, France
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hal-01378589v1  Conference papers
Schmitt ThomasPhilippe CaillouMichèle Sebag. Matching Jobs and Resumes: a Deep Collaborative Filtering Task
GCAI 2016 - 2nd Global Conference on Artificial Intelligence, Sep 2016, Berlin, Germany
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in2p3-00907381v1  Conference papers
R. BardenetM. BrendelBalázs KéglMichèle Sebag. Collaborative hyperparameter tuning
30th International Conference on Machine Learning (ICML 2013), Jun 2013, Atlanta, United States. pp.199-207
hal-00870946v1  Conference papers
Said JabbourNadjib LazaarYoussef HamadiMichèle Sebag. Cooperation control in Parallel SAT Solving: a Multi-armed Bandit Approach
Workshop on Bayesian Optimization & Decision Making, 2012, Lake Tahoe, United States
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inria-00413281v1  Conference papers
Serge KernbachHeiko HamannJuergen StradtnerRonald TheniusThomas Schmickl et al.  On adaptive self-organization in artificial robot organisms
ADAPTIVE 2009 - The First International Conference on Adaptive and Self-adaptive Systems and Applications, Nov 2009, Athens, Greece. ⟨10.1109/ComputationWorld.2009.9⟩
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inria-00144010v1  Conference papers
Christian GagnéMichèle SebagMarc SchoenauerMarco Tomassini. Ensemble Learning for Free with Evolutionary Algorithms ?
GECCO, ACM SIGEVO, Jul 2007, London, United Kingdom. pp.1782-1789
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inria-00145172v1  Conference papers
Nicolas GodzikMarc SchoenauerMichèle Sebag. Robustness in the long run: Auto-teaching vs Anticipation in Evolutionary Robotics
Parallel Problem Solving from Nature, Sep 2004, Birmingham, pp.932-941
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inria-00000859v1  Conference papers
Yann SemetSylvain GellyMarc SchoenauerMichèle Sebag. Artificial Agents and Speculative Bubbles
Computational Finance and its Applications, Wessex Institute of Technology, Apr 2004, Bologne (Italy), pp.35-44
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hal-00540579v1  Conference papers
Xiangliang ZhangCécile GermainMichèle Sebag. Adaptively Detecting Changes in Autonomic Grid Computing
Procs of ACS 2010, Oct 2010, Belgium. http://wiki.esi.ac.uk/ACS2010
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inria-00112681v1  Conference papers
Nicolas BaskiotisMichèle SebagMarie-Claude GaudelSandrine-Dominique Gouraud. A Machine Learning approach for Statistical Software Testing
Twentieth International Joint Conference on Artificial Intelligence, Jan 2007, Hyderabad, India
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hal-00851189v2  Conference papers
Ilya LoshchilovMarc SchoenauerMichèle Sebag. KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization
Conférence sur l'Apprentissage Automatique, Jul 2013, Lille, France
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hal-01109774v1  Conference papers
Blaise HanczarMichèle Sebag. Combination of One-Class Support Vector Machines for Classification with Reject Option
Machine Learning and Knowledge Discovery in Databases - Part I, Sep 2014, Nancy, France. pp.547 - 562, ⟨10.1007/978-3-662-44848-9_35⟩
hal-01649153v1  Book sections
Olivier GoudetDiviyan KalainathanPhilippe CaillouDavid Lopez-PazIsabelle Guyon et al.  Learning Functional Causal Models with Generative Neural Networks
Explainable and Interpretable Models in Computer Vision and Machine Learning, Springer International Publishing, 2018, Springer Series on Challenges in Machine Learning, 978-3-319-98131-4. ⟨10.1007/978-3-319-98131-4⟩
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inria-00625001v1  Conference papers
Riad AkrourMarc SchoenauerMichèle Sebag. Preference-Based Policy Learning
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2011, Athènes, Greece. pp.12-27
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inria-00167459v1  Conference papers
Philippe CaillouFrédéric DubutMichèle Sebag. Prêts bilatéraux et réseaux sociaux
Modelling and learning in Social and Human Sciences MASHS 07, May 2007, Brest, France
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hal-01378745v1  Conference papers
François GonardMarc SchoenauerMichèle Sebag. Algorithm Selector and Prescheduler in the ICON challenge
META 2016 - International Conference on Metaheuristics and Nature Inspired Computing, Oct 2016, Marrakech, Morocco
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inria-00287378v1  Conference papers
Xiangliang ZhangCyril FurtlehnerMichèle Sebag. Distributed and Incremental Clustering Based on Weighted Affinity Propagation
the fourth European Starting AI Researcher Symposium (STAIRS), Jul 2008, Patras, Greece
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hal-00437538v1  Conference papers
Ludovic ArnoldHélène Paugam-MoisyMichèle Sebag. Optimisation de la Topologie pour les Réseaux de Neurones Profonds
17e congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle - RFIA 2010, Jan 2010, Caen, France
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hal-00737409v1  Conference papers
Ilya LoshchilovMarc SchoenauerMichèle Sebag. Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed
Workshop Proceedings of the Genetic and Evolutionary Computation Conference, Jul 2012, Philadelphia, United States