Saturation: Postponing Choices when Inverting Resolution. - Céline Rouveirol (ECAI, 1990)

Beyond Inversion of Resolution. - Céline Rouveirol; Jean-Francois Puget (ML, 1990)

Panel: Evaluating and Changing Representation in Concept Acquisition. - Francesco Bergadano; Floriana Esposito; Céline Rouveirol; Stefan Wrobel (EWSL, 1991)

Completeness for Inductive Procedures. - Céline Rouveirol (ML, 1991)

Semantic Model for Induction of First Order Theories. - Céline Rouveirol (IJCAI, 1991)

Approche logique de la généralisation en présence de théorie du domaine. - Céline Rouveirol; Jean-Francois Puget (JFPL, 1992)

Flattening and Saturation: Two Representation Changes for Generalization. - Céline Rouveirol (Mach. Learn., 1994)

Polynomial-Time Learning in Logic Programming and Constraint Logic Programming. - Michèle Sebag; Céline Rouveirol (Inductive Logic Programming Workshop, 1996)

Induction of Constraint Logic Programs. - Michèle Sebag; Céline Rouveirol; Jean-Francois Puget (PRICAI Workshops, 1996)

A Knowledge-Level Model of a Configurable Learning System. - Céline Rouveirol; Patrick Albert (IEEE Expert, 1996)

Natural Ideal Operators in Inductive Logic Programming. - Fabien Torre; Céline Rouveirol (ECML, 1997)

Tractable Induction and Classification in First Order Logic Via Stochastic Matching. - Michèle Sebag; Céline Rouveirol (IJCAI (2), 1997)

Selective Propositionalization for Relational Learning. - Érick Alphonse; Céline Rouveirol (PKDD, 1999)

Lazy Propositionalisation for Relational Learning. - Érick Alphonse; Céline Rouveirol (ECAI, 2000)

Towards Learning in CARIN-ALN. - Céline Rouveirol; Véronique Ventos (ILP, 2000)

Any-time Relational Reasoning: Resource-bounded Induction and Deduction Through Stochastic Matching. - Michèle Sebag; Céline Rouveirol (Mach. Learn., 2000)

Constraint-based Learning of Long Relational Concepts. - Jacques Ales Bianchetti; Céline Rouveirol; Michèle Sebag (ICML, 2002)

Local Pattern Discovery in Array-CGH Data. - Céline Rouveirol; François Radvanyi (Local Pattern Detection, 2004)

Apprentissage de signatures de facteurs de transcription à partir de données d'expression. - Mohamed Elati; Céline Rouveirol; François Radvanyi (EGC, 2005)

Extension of the Top-Down Data-Driven Strategy to ILP. - Érick Alphonse; Céline Rouveirol (ILP, 2006)

VAMP: Visualization and analysis of array-CGH, transcriptome and other molecular profiles. - Philippe La Rosa; Eric Viara; Philippe Hupé; Gaëlle Pierron; Stéphane Liva; Pierre Neuvial; Isabel Brito 002; Séverine Lair; Nicolas Servant; Nicolas Robine; Elodie Manié; Caroline Brennetot; et al. (Bioinform., 2006)

Computation of recurrent minimal genomic alterations from array-CGH data. - Céline Rouveirol; Nicolas Stransky; Philippe Hupé; Philippe La Rosa; Eric Viara; Emmanuel Barillot; François Radvanyi (Bioinform., 2006)

LICORN: learning cooperative regulation networks from gene expression data. - Mohamed Elati; Pierre Neuvial; Monique Bolotin-Fukuhara; Emmanuel Barillot; François Radvanyi; Céline Rouveirol (Bioinform., 2007)

Fouille de données pour l'extraction de grands réseaux de régulation génétique. - Mohamed Elati; François Radvanyi; Céline Rouveirol (Tech. Sci. Informatiques, 2007)

Recherche adaptative de structures de régulation génétique. - Mohamed Elati; Céline Rouveirol (EGC, 2008)

Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks. - Nesserine Benchettara; Rushed Kanawati; Céline Rouveirol (ASONAM, 2010)

Incremental Learning of Relational Action Rules. - Christophe Rodrigues; Pierre Gérard; Céline Rouveirol; Henry Soldano (ICMLA, 2010)

Incremental Learning of Relational Action Models in Noisy Environments. - Christophe Rodrigues; Pierre Gérard; Céline Rouveirol (ILP, 2010)

A supervised machine learning link prediction approach for academic collaboration recommendation. - Nesserine Benchettara; Rushed Kanawati; Céline Rouveirol (RecSys, 2010)

Heuristique pour l'extraction de motifs ensemblistes bruités. - Karima Mouhoubi; Lucas Létocart; Céline Rouveirol (EGC, 2011)

Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming. - Moez Essaidi; Aomar Osmani; Céline Rouveirol (ICTAI, 2011)

Itemset Mining in Noisy Contexts: A Hybrid Approach. - Karima Mouhoubi; Lucas Létocart; Céline Rouveirol (ICTAI, 2011)

Learning Dependent-Concepts in ILP: Application to Model-Driven Data Warehouses. - Moez Essaidi; Aomar Osmani; Céline Rouveirol (ILP (Late Breaking Papers), 2011)

Active Learning of Relational Action Models. - Christophe Rodrigues; Pierre Gérard; Céline Rouveirol; Henry Soldano (ILP, 2011)

A case study in a recommender system based on purchase data. - Bruno Pradel; Savaneary Sean; Julien Delporte; Sébastien Guérif; Céline Rouveirol; Nicolas Usunier; Françoise Fogelman-Soulié; Frédéric Dufau-Joël (KDD, 2011)

A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets. - Karima Mouhoubi; Lucas Létocart; Céline Rouveirol (ICONIP (3), 2012)

Hybrid method inference for the construction of cooperative regulatory network in human. - I. Chebil; Rémy Nicolle; G. Santini; Céline Rouveirol; Mohamed Elati (BIBM, 2013)

SetNet: Ensemble Method Techniques for Learning Regulatory Networks. - I. Chebil; Mohamed Elati; Céline Rouveirol; G. Santini (ICMLA (1), 2013)

Guest Editorial. - Ruggero G. Pensa; Francesca Cordero; Céline Rouveirol; Rushed Kanawati (Intell. Data Anal., 2013)

A consistency based approach of action model learning in a community of agents. - Christophe Rodrigues; Henry Soldano; Gauvain Bourgne; Céline Rouveirol (AAMAS, 2014)

Multi Agent Learning of Relational Action Models. - Christophe Rodrigues; Henry Soldano; Gauvain Bourgne; Céline Rouveirol (ECAI, 2014)

Collaborative Online Learning of an Action Model. - Christophe Rodrigues; Henry Soldano; Gauvain Bourgne; Céline Rouveirol (Solving Large Scale Learning Tasks, 2016)

Collaborative Decision in Multi-Agent Learning of Action Models. - Christophe Rodrigues; Henry Soldano; Gauvain Bourgne; Céline Rouveirol (ICTAI, 2016)

Introduction to the special issue on dynamic networks and knowledge discovery. - Céline Rouveirol; Ruggero G. Pensa; Rushed Kanawati (Mach. Learn., 2017)

The Game of Bridge: A Challenge for ILP. - Swann Legras; Céline Rouveirol; Véronique Ventos (ILP, 2018)

Une expérience d'élicitation de connaissances expertes dans le domaine du Bridge. - Colin Deheeger; Jean Pierre Desmoulins; Jean Baptiste Fantun; Swann Legras; Alexis Rimbaud; Céline Rouveirol; Henry Soldano; Véronique Ventos (EGC, 2020)

Construction and Elicitation of a Black Box Model in the Game of Bridge. - Véronique Ventos; Daniel Braun 007; Colin Deheeger; Jean Pierre Desmoulins; Jean Baptiste Fantun; Swann Legras; Alexis Rimbaud; Céline Rouveirol; Henry Soldano (CoRR, 2020)

Découverte de règles contextuelles pour prédire la présence d'amiante dans les bâtiments. - Thamer Mecharnia; Lydia Chibout Khelifa; Fayçal Hamdi 001; Nathalie Pernelle; Céline Rouveirol (IC, 2021)

Mining Contextual Rules to Predict Asbestos in Buildings. - Thamer Mecharnia; Nathalie Pernelle; Céline Rouveirol; Fayçal Hamdi 001; Lydia Chibout Khelifa (ICCS, 2021)

Allocation de ressources par une méthode hybride machine learning - optimisation en contexte de conteneurs. - Étienne Leclercq; Jonathan Rivalan; Frédéric Roupin; Céline Rouveirol (EGC, 2022)

Comment gagner : expliquer les bonnes trajectoires. - Malik Kazi Aoual; Céline Rouveirol; Henry Soldano; Véronique Ventos (CNIA, 2023)

Explaining Optimal Trajectories. - Céline Rouveirol; Malik Kazi Aoual; Henry Soldano; Véronique Ventos (RuleML+RR, 2023)

Approches prédictives pour l'étude de l'effet de pairs : application à la prédiction de préférence pour une spécialité des étudiants en médecine. - Mustapha Atmani; Nathalie Pernelle; Céline Rouveirol; Noemi Berlin; Magali Dumontet; Mathieu Lambotte; Carole Treibich (EGC, 2025)