基本信息
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Bio
With a background in maths (Ecole Normale Supérieure), Michèle Sebag went to industry (Thalès) where she started to learn about computer science, project management, and artificial intelligence. She got interested in AI, became consulting engineer, and realized that machine learning was something to be. She was offered the opportunity to start research on machine learning for applications in numerical engineering at Laboratoire de Mécanique des Solides at Ecole Polytechnique.
Research Interests
Papers共 167 篇Author StatisticsCo-AuthorSimilar Experts
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biorxiv(2024)
Nicolas Atienza,Roman Bresson, Cyriaque Rousselot,Philippe Caillou,Johanne Cohen,Christophe Labreuche,Michele Sebag
IJCAI 2024 (2024)
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IJCAIpp.5906-5914, (2023)
Bioinformatics (Oxford, England)no. Supplement_1 (2023): I111-I120
JOURNAL OF MACHINE LEARNING RESEARCH (2022): 219:1-219:62
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Machine Learning and Knowledge Discovery in DatabasesLecture Notes in Computer Science (2022): 107-122
arXiv (Cornell University) (2022)
Guillaume Bied,Elia Pérennes, Victor Alfonso Naya,Philippe Caillou,Bruno Crépon,Christophe Gaillac,Michèle Sebag
HAL (Le Centre pour la Communication Scientifique Directe) (2021)
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