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Céline Rouveirol
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- affiliation: University of Paris-Sud, Laboratory for Computer Science (LRI), France
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2020 – today
- 2023
- [c43]Malik Kazi Aoual, Céline Rouveirol, Henry Soldano, Véronique Ventos:
Comment gagner : expliquer les bonnes trajectoires. CNIA 2023: 20-30 - [c42]Céline Rouveirol, Malik Kazi Aoual, Henry Soldano, Véronique Ventos:
Explaining Optimal Trajectories. RuleML+RR 2023: 206-221 - 2022
- [c41]Étienne Leclercq, Jonathan Rivalan, Frédéric Roupin, Céline Rouveirol:
Allocation de ressources par une méthode hybride machine learning - optimisation en contexte de conteneurs. EGC 2022: 499-500 - 2021
- [c40]Thamer Mecharnia, Lydia Chibout Khelifa, Fayçal Hamdi, Nathalie Pernelle, Céline Rouveirol:
Découverte de règles contextuelles pour prédire la présence d'amiante dans les bâtiments. IC 2021: 81-88 - [c39]Thamer Mecharnia, Nathalie Pernelle
, Céline Rouveirol, Fayçal Hamdi, Lydia Chibout Khelifa:
Mining Contextual Rules to Predict Asbestos in Buildings. ICCS 2021: 170-184 - 2020
- [c38]Colin Deheeger, Jean Pierre Desmoulins, Jean Baptiste Fantun, Swann Legras, Alexis Rimbaud, Céline Rouveirol, Henry Soldano, Véronique Ventos:
Une expérience d'élicitation de connaissances expertes dans le domaine du Bridge. EGC 2020: 97-108 - [i1]Véronique Ventos, Daniel Braun, Colin Deheeger, Jean Pierre Desmoulins, Jean Baptiste Fantun, Swann Legras, Alexis Rimbaud, Céline Rouveirol, Henry Soldano:
Construction and Elicitation of a Black Box Model in the Game of Bridge. CoRR abs/2005.01633 (2020)
2010 – 2019
- 2018
- [c37]Swann Legras, Céline Rouveirol, Véronique Ventos:
The Game of Bridge: A Challenge for ILP. ILP 2018: 72-87 - 2017
- [j9]Céline Rouveirol, Ruggero G. Pensa, Rushed Kanawati:
Introduction to the special issue on dynamic networks and knowledge discovery. Mach. Learn. 106(8): 1131-1132 (2017) - 2016
- [c36]Christophe Rodrigues
Collaborative Online Learning of an Action Model. Solving Large Scale Learning Tasks 2016: 300-319 - [c35]Christophe Rodrigues, Henry Soldano, Gauvain Bourgne, Céline Rouveirol:
Collaborative Decision in Multi-Agent Learning of Action Models. ICTAI 2016: 640-647 - 2014
- [c34]Christophe Rodrigues, Henry Soldano, Gauvain Bourgne, Céline Rouveirol:
A consistency based approach of action model learning in a community of agents. AAMAS 2014: 1557-1558 - [c33]Christophe Rodrigues
Multi Agent Learning of Relational Action Models. ECAI 2014: 1087-1088 - [e4]Rushed Kanawati, Ruggero G. Pensa, Céline Rouveirol:
Proceedings of the 2nd International Workshop on Dynamic Networks and Knowledge Discovery, DyNaK 2014, co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), Nancy, France, September 15, 2014. CEUR Workshop Proceedings 1229, CEUR-WS.org 2014 [contents] - 2013
- [j8]Ruggero G. Pensa
Guest Editorial. Intell. Data Anal. 17(1): 1-3 (2013) - [c32]I. Chebil, Rémy Nicolle, G. Santini, Céline Rouveirol, Mohamed Elati
Hybrid method inference for the construction of cooperative regulatory network in human. BIBM 2013: 121-126 - [c31]I. Chebil, Mohamed Elati
SetNet: Ensemble Method Techniques for Learning Regulatory Networks. ICMLA (1) 2013: 34-39 - 2012
- [c30]Karima Mouhoubi, Lucas Létocart, Céline Rouveirol:
A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets. ICONIP (3) 2012: 585-593 - 2011
- [c29]Karima Mouhoubi, Lucas Létocart, Céline Rouveirol:
Heuristique pour l'extraction de motifs ensemblistes bruités. EGC 2011: 467-472 - [c28]Karima Mouhoubi, Lucas Létocart, Céline Rouveirol:
Itemset Mining in Noisy Contexts: A Hybrid Approach. ICTAI 2011: 33-40 - [c27]Moez Essaidi, Aomar Osmani
Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming. ICTAI 2011: 693-700 - [c26]Moez Essaidi, Aomar Osmani
Learning Dependent-Concepts in ILP: Application to Model-Driven Data Warehouses. ILP (Late Breaking Papers) 2011: 151-172 - [c25]Christophe Rodrigues
Active Learning of Relational Action Models. ILP 2011: 302-316 - [c24]Bruno Pradel, Savaneary Sean, Julien Delporte, Sébastien Guérif
A case study in a recommender system based on purchase data. KDD 2011: 377-385 - 2010
- [c23]Nesserine Benchettara, Rushed Kanawati, Céline Rouveirol:
Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks. ASONAM 2010: 326-330 - [c22]Christophe Rodrigues
Incremental Learning of Relational Action Rules. ICMLA 2010: 451-458 - [c21]Christophe Rodrigues
Incremental Learning of Relational Action Models in Noisy Environments. ILP 2010: 206-213 - [c20]Nesserine Benchettara, Rushed Kanawati, Céline Rouveirol:
A supervised machine learning link prediction approach for academic collaboration recommendation. RecSys 2010: 253-256 - [e3]Ruggero G. Pensa, Francesca Cordero, Céline Rouveirol, Rushed Kanawati, José A. Troyano, Paolo Rosso:
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, Barcelona, Spain, September 24, 2010. CEUR Workshop Proceedings 655, CEUR-WS.org 2010 [contents]
2000 – 2009
- 2008
- [c19]Mohamed Elati, Céline Rouveirol:
Recherche adaptative de structures de régulation génétique. EGC 2008: 427-432 - 2007
- [j7]Mohamed Elati
LICORN: learning cooperative regulation networks from gene expression data. Bioinform. 23(18): 2407-2414 (2007) - [j6]Mohamed Elati
Fouille de données pour l'extraction de grands réseaux de régulation génétique. Tech. Sci. Informatiques 26(1-2): 173-196 (2007) - 2006
- [j5]Céline Rouveirol, Nicolas Stransky, Philippe Hupé
Computation of recurrent minimal genomic alterations from array-CGH data. Bioinform. 22(7): 849-856 (2006) - [j4]Philippe La Rosa, Eric Viara, Philippe Hupé, Gaëlle Pierron, Stéphane Liva, Pierre Neuvial
VAMP: Visualization and analysis of array-CGH, transcriptome and other molecular profiles. Bioinform. 22(17): 2066-2073 (2006) - [c18]Érick Alphonse, Céline Rouveirol:
Extension of the Top-Down Data-Driven Strategy to ILP. ILP 2006: 49-63 - 2005
- [c17]Mohamed Elati, Céline Rouveirol, François Radvanyi:
Apprentissage de signatures de facteurs de transcription à partir de données d'expression. EGC 2005: 667-672 - 2004
- [c16]Céline Rouveirol, François Radvanyi:
Local Pattern Discovery in Array-CGH Data. Local Pattern Detection 2004: 135-152 - 2002
- [c15]Jacques Ales Bianchetti, Céline Rouveirol, Michèle Sebag:
Constraint-based Learning of Long Relational Concepts. ICML 2002: 35-42 - 2001
- [e2]Céline Rouveirol, Michèle Sebag:
Inductive Logic Programming, 11th International Conference, ILP 2001, Strasbourg, France, September 9-11, 2001, Proceedings. Lecture Notes in Computer Science 2157, Springer 2001, ISBN 3-540-42538-1 [contents] - 2000
- [j3]Michèle Sebag, Céline Rouveirol:
Any-time Relational Reasoning: Resource-bounded Induction and Deduction Through Stochastic Matching. Mach. Learn. 38(1-2): 41-62 (2000) - [c14]Érick Alphonse, Céline Rouveirol:
Lazy Propositionalisation for Relational Learning. ECAI 2000: 256-260 - [c13]Céline Rouveirol, Véronique Ventos:
Towards Learning in CARIN-ALN. ILP 2000: 191-208
1990 – 1999
- 1999
- [c12]Érick Alphonse, Céline Rouveirol:
Selective Propositionalization for Relational Learning. PKDD 1999: 271-276 - 1998
- [e1]Claire Nedellec
Machine Learning: ECML-98, 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998, Proceedings. Lecture Notes in Computer Science 1398, Springer 1998, ISBN 3-540-64417-2 [contents] - 1997
- [c11]Fabien Torre, Céline Rouveirol:
Natural Ideal Operators in Inductive Logic Programming. ECML 1997: 274-289 - [c10]Michèle Sebag, Céline Rouveirol:
Tractable Induction and Classification in First Order Logic Via Stochastic Matching. IJCAI (2) 1997: 888-893 - 1996
- [j2]Céline Rouveirol, Patrick Albert:
A Knowledge-Level Model of a Configurable Learning System. IEEE Expert 11(4): 50-58 (1996) - [c9]Michèle Sebag, Céline Rouveirol:
Polynomial-Time Learning in Logic Programming and Constraint Logic Programming. Inductive Logic Programming Workshop 1996: 105-126 - [c8]Michèle Sebag, Céline Rouveirol, Jean-Francois Puget:
Induction of Constraint Logic Programs. PRICAI Workshops 1996: 148-167 - 1994
- [j1]Céline Rouveirol:
Flattening and Saturation: Two Representation Changes for Generalization. Mach. Learn. 14(1): 219-232 (1994) - [c7]Céline Rouveirol, Patrick Albert:
Knowledge Level Model of a Configurable Learning System. EKAW 1994: 374-393 - 1992
- [c6]Céline Rouveirol, Jean-Francois Puget:
Approche logique de la généralisation en présence de théorie du domaine. JFPL 1992: 179-193 - 1991
- [c5]Francesco Bergadano
Panel: Evaluating and Changing Representation in Concept Acquisition. EWSL 1991: 89-100 - [c4]Céline Rouveirol:
Completeness for Inductive Procedures. ML 1991: 452-456 - [c3]Céline Rouveirol:
Semantic Model for Induction of First Order Theories. IJCAI 1991: 685-691 - 1990
- [c2]Céline Rouveirol:
Saturation: Postponing Choices when Inverting Resolution. ECAI 1990: 557-562 - [c1]Céline Rouveirol, Jean-Francois Puget:
Beyond Inversion of Resolution. ML 1990: 122-130
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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