Céline Rouveirol

Affiliations:
  • University of Paris-Sud, Laboratory for Computer Science (LRI), France


According to our database1, Céline Rouveirol authored at least 52 papers between 1990 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Explaining Optimal Trajectories.
Proceedings of the Rules and Reasoning - 7th International Joint Conference, 2023

Comment gagner : expliquer les bonnes trajectoires.
Proceedings of the Conférence Nationale en Intelligence Artificielle, 2023

2022
Allocation de ressources par une méthode hybride machine learning - optimisation en contexte de conteneurs.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Mining Contextual Rules to Predict Asbestos in Buildings.
Proceedings of the Graph-Based Representation and Reasoning, 2021

Découverte de règles contextuelles pour prédire la présence d'amiante dans les bâtiments.
Proceedings of the IC 2021 : 32es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 32nd French Knowledge Engineering Conference), Bordeaux, France, June 30, 2021

2020
Construction and Elicitation of a Black Box Model in the Game of Bridge.
CoRR, 2020

Une expérience d'élicitation de connaissances expertes dans le domaine du Bridge.
Proceedings of the Extraction et Gestion des Connaissances, 2020

2018
The Game of Bridge: A Challenge for ILP.
Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

2017
Introduction to the special issue on dynamic networks and knowledge discovery.
Mach. Learn., 2017

2016
Collaborative Decision in Multi-Agent Learning of Action Models.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Collaborative Online Learning of an Action Model.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2014
Multi Agent Learning of Relational Action Models.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

A consistency based approach of action model learning in a community of agents.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Guest Editorial.
Intell. Data Anal., 2013

SetNet: Ensemble Method Techniques for Learning Regulatory Networks.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Hybrid method inference for the construction of cooperative regulatory network in human.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
A case study in a recommender system based on purchase data.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Active Learning of Relational Action Models.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Learning Dependent-Concepts in ILP: Application to Model-Driven Data Warehouses.
Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Itemset Mining in Noisy Contexts: A Hybrid Approach.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Heuristique pour l'extraction de motifs ensemblistes bruités.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010
A supervised machine learning link prediction approach for academic collaboration recommendation.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Incremental Learning of Relational Action Models in Noisy Environments.
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010

Incremental Learning of Relational Action Rules.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2008
Recherche adaptative de structures de régulation génétique.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007
Fouille de données pour l'extraction de grands réseaux de régulation génétique.
Tech. Sci. Informatiques, 2007

LICORN: learning cooperative regulation networks from gene expression data.
Bioinform., 2007

2006
Computation of recurrent minimal genomic alterations from array-CGH data.
Bioinform., 2006

VAMP: Visualization and analysis of array-CGH, transcriptome and other molecular profiles.
Bioinform., 2006

Extension of the Top-Down Data-Driven Strategy to ILP.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

2005
Apprentissage de signatures de facteurs de transcription à partir de données d'expression.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005

2004
Local Pattern Discovery in Array-CGH Data.
Proceedings of the Local Pattern Detection, 2004

2002
Constraint-based Learning of Long Relational Concepts.
Proceedings of the Machine Learning, 2002

2000
Any-time Relational Reasoning: Resource-bounded Induction and Deduction Through Stochastic Matching.
Mach. Learn., 2000

Towards Learning in CARIN-ALN.
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000

Lazy Propositionalisation for Relational Learning.
Proceedings of the ECAI 2000, 2000

1999
Selective Propositionalization for Relational Learning.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

1997
Tractable Induction and Classification in First Order Logic Via Stochastic Matching.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Natural Ideal Operators in Inductive Logic Programming.
Proceedings of the Machine Learning: ECML-97, 1997

1996
A Knowledge-Level Model of a Configurable Learning System.
IEEE Expert, 1996

Induction of Constraint Logic Programs.
Proceedings of the Learning and Reasoning with Complex Representations, 1996

Polynomial-Time Learning in Logic Programming and Constraint Logic Programming.
Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

1994
Flattening and Saturation: Two Representation Changes for Generalization.
Mach. Learn., 1994

1992
Approche logique de la généralisation en présence de théorie du domaine.
Proceedings of the JFPL'92, 1992

1991
Semantic Model for Induction of First Order Theories.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Completeness for Inductive Procedures.
Proceedings of the Eighth International Workshop (ML91), 1991

Panel: Evaluating and Changing Representation in Concept Acquisition.
Proceedings of the Machine Learning, 1991

1990
Beyond Inversion of Resolution.
Proceedings of the Machine Learning, 1990

Saturation: Postponing Choices when Inverting Resolution.
Proceedings of the 9th European Conference on Artificial Intelligence, 1990


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