Compact Unstructured Representations for Evolutionary Design
Hatem Hamda
,
François Jouve
,
Evelyne Lutton
,
Marc Schoenauer
,
Michèle Sebag
et al.
Journal articles
istex
inria-00000847v1
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Using Domain Knowledge in Evolutionary System Identification
Marc Schoenauer
,
Michèle Sebag
K. Giannakoglou et al. Evolutionary Algorithms in Engineering and Computer Science , John Wiley, 2002
Book sections
inria-00001094v1
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Using Data from job seekers, job offers and past hirings to learn a Job Recommender System: the VADORE Project
Guillaume Bied
,
Solal Nathan
,
Elia Perennes
,
Christophe Gaillac
,
Philippe Caillou
et al.
AI for HR and Public Employment Services , Feb 2023, Ghent (BE), Belgium
Conference papers
hal-04025000v1
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Controlling Crossover through Inductive Learning
Michèle Sebag
,
Marc Schoenauer
Proc. PPSN III - Parallel Problem Solving from Nature , Sep 1994, Jerusalem, Israel. pp.209-218
Conference papers
hal-02985520v1
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An induction-based control for genetic algorithms
C. Ravisé
,
Michèle Sebag
,
Marc Schoenauer
Conference papers
hal-00116438v1
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DEEP-SST-EDDIES: A Deep Learning framework to detect oceanic eddies in Sea Surface Temperature images
Evangelos Moschos
,
Olivier Schwander
,
Alexandre Stegner
,
Patrick Gallinari
Conference papers
hal-02470051v1
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Learning a weather dictionary of atmospheric patterns using Latent Dirichlet Allocation
Lucas Fery
,
Berengere Dubrulle
,
Berengere Podvin
,
Flavio Pons
,
Davide Faranda
et al.
Journal articles
hal-03258523v1
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Réseau Bayésien Aplati pour l'Inférence dans les HMM hiérarchiques factorisés et Apprentissage avec peu de données
Sylvain Gelly
,
Nicolas Bredeche
,
Michèle Sebag
Conférence d'Apprentissage , Jun 2005, Nice, France. pp.143-144
Conference papers
inria-00175528v1
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Inférence dans les HMM hiérarchiques et factorisés: changement de représentation vers le formalisme des réseaux bayésien
Sylvain Gelly
,
Nicolas Bredeche
,
Michèle Sebag
Atelier EGC sur les modèles graphiques probabilistes. , Jan 2005, Paris, France. pp.35-44
Conference papers
inria-00175502v1
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Energy Management for Microgrids: a Reinforcement Learning Approach
Tanguy Levent
,
Philippe Preux
,
Erwan Le Pennec
,
Jordi Badosa
,
Gonzague Henri
et al.
Conference papers
hal-02382232v1
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Gender fairness in job recommendation: a case study
Guillaume Bied
,
Christophe Gaillac
,
Morgane Hoffmann
,
Solal Nathan
,
Philippe Caillou
et al.
AI for HR and Public Employment Services , Feb 2023, Ghent (BE), Belgium
Conference papers
hal-04025006v1
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Photometric Compensation to Dynamic Surfaces in a Projector-Camera System
Panagiotis-Alexandros Bokaris
,
Michèle Gouiffès
,
Christian Jacquemin
,
Jean Marc Chomaz
Computer Vision - ECCV 2014 Workshops , 8927, Springer, pp.283-296, 2015, Lecture Notes in Computer Science, 978-3-319-16198-3.
⟨10.1007/978-3-319-16199-0_20⟩
Book sections
hal-01241070v1
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Avoiding the Bloat with Stochastic Grammar-based Genetic Programming
Alain Ratle
,
Michèle Sebag
Evolution Artificielle 01 , 2001, Le Creusot, France. pp.254-266
Conference papers
inria-00001095v1
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Représentations non structurées en optimisation topologique de formes par algorithmes évolutionnaires
Hatem Hamda
,
François Jouve
,
Evelyne Lutton
,
Marc Schoenauer
,
Michèle Sebag
et al.
CANUM 2000 , Jun 2000, Port d'Albret, France, pp.153-179
Conference papers
inria-00000852v2
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