Contact

  • LIPN, CNRS UMR 7030
    Université Paris 13
    99 avenue Jean-Baptiste Clément
    93430 Villetaneuse
  • celine.rouveirol AT lipn.univ-paris13.fr
  • +33 (0)1 49 40 40 79
  • Bureau B306, Institut Galilée

    Recherche

Je suis membre de l’équipe A3 (Apprentissage Artificiel et Applications) du Laboratoire d’informatique de Paris Nord (LIPN).
Mes thématiques de recherche portent sur la Programmation Logique Inductive, l'inférence et la révision de graphes, notamment biologiques.

    Encadrement doctoral

Période Doctorant Sujet
2011--2014 Ines Chebil "Méthodes d'ensemble pour l'inférence de réseaux de régulation coopératifs", thèse Université Paris 13
2009--2013 Moez Essaidi "Model-Driven Data Warehouse and its Automation using Machine Learning Techniques", co-encadré avec A. Osmani), thèse Université Paris 13
2009--2013 Karima Mouhoubi "Extraction de motifs dans des données bruitées", co-encadrée avec L. Létocart, thèse Université Paris 13
2007--2013 Christophe Rodrigues "Apprentissage incrémental de modèles d'action relationnels", co-encadré avec P. Gérard, thèse Université Paris 13
2007--2011 Nesrine Benchettara "Prévision de nouveaux liens dans les réseaux d'interactions bipartis : Application au calcul de recommandation", co-encadrée avec R. Kanawati, thèse Université Paris 13
2004-2008 Mohamed Elati "Apprentissage de réseaux de régulation génétique à partir de données d'expression", thèse Université Paris 13

    Responsabilités

Période Description
2011-2015 et 2018 - Responsable de l'équipe A3
2011 - Directrice adjointe de l'Institut Galilée, en charge de l'école d'ingénieurs Sup Galilée
2008 - Membre au conseil de l'institut Galilée (comme élue de 2008 à 2011, et depuis 2017 ou comme invitée de 2011 à 2017)
2008-2015 et 2018- Membre élue du comité d'experts de la section 27 de l'Université Paris 13

    Principales publications (depuis 2007)

Chapitres de livres

[1] Collaborative Online Learning of an Action Model
Christophe Rodrigues and Henry Soldano and Gauvain Bourgne and Céline Rouveirol
300--319, Springer, Lecture Notes in Computer Science, 9580, Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016
[2] Unsupervised Learning for Gene Regulation Network Inference from Expression Data: A Review
Mohamed Elati and Rouveirol Céline
Wiley, Elati, Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications, 41, M. Elloumi and A. Y. Zomaya, 2011

Edition  d'ouvrages collectifs

[3] Special issue on Dynamic Networks and Knowledge Discovery
8, 1131--1132, Machine Learning Journal, 106, Céline Rouveirol and Ruggero G. Pensa and Rushed Kanawati, 2017
[4] 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, CEUR-WS.org, CEUR Workshop Proceedings, 1229, Kanawati Rushed and Ruggero G. Pensa and Rouveirol Céline, 2014
[5] 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
CEUR-WS.org, CEUR Workshop Proceedings, 1229, Rushed Kanawati and Ruggero G. Pensa and Céline Rouveirol, 2014
[6] Special issue on Dynamic Networks and Knowledge Discovery
1, IOS Press, Intelligent Data Analysis, 17, 10.3233/IDA-120564, Pensa, Ruggero G. and Cordero, Francesca and Rouveirol, Céline and Kanawati, Rushed, https://doi.org/10.3233/IDA-120564, 2013
[7] Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery (DyNaK 2010), Barcelona, Spain
CEUR-WS, Vol-655, urn:nbn:de:0074-655-4, Ruggero G. Pensa and Cordero Francesca and Rouveirol Céline and Kanawati Rushed and José A. Troyano and Paolo Rosso, 2010
[8] Actes de la 11e Conférence d'Apprentissage, Plateforme AFIA (CAp 2009)
Plate-forme AFIA, Hammamet-Tunisie, Presses universitaires de Grenoble, Bennani, Younès and Rouveirol, Céline, Mai 2009

Articles dans des revues internationales avec comité de lecture

[9] Hybrid method inference for the construction of cooperative regulatory network in human
Ines Chebil and Rémi Nicolle and Guillaume Santini and Céline Rouveirol and Mohamed Elati
2, 97--103, 13, IEEE Transactions on NanoBioscience, 2014
[10] LICORN: learning cooperative regulation networks from gene expression data
Mohamed Elati and Pierre Neuvial and Monique Bolotin-Fukuhara and Emmanuel Barillot and François Radvanyi and Rouveirol Céline
18, ant, 2407-2414, 23, Elati,Rouveirol, Bioinformatics, 2007

Articles dans d'autres revues

[11] Identification of functional modules based on transcriptional regulation structure
Etienne Birmelé and Elati Mohamed and Rouveirol Céline and Christophe Ambroise
Suppl 4, Selected papers of Machine Learning in Systems Biology: MLSB 2007, 6 pages, S4, 2, BMC Proceedings, 2008
[12] Fouille de données pour l'extraction de grands réseaux de régulation génétique
Mohamed Elati and François Radvanyi and Rouveirol Céline
1-2, 173-196, 26, Technique et Science Informatiques, 2007

Communications dans des conférences internationales avec comité de lecture

[13] Collaborative Decision in Multi-Agent Learning of Action Models
Christophe Rodrigues and Henry Soldano and Gauvain Bourgne and Céline Rouveirol
640--647, rodrigues, 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2016), San Jose, California, USA, 10.1109/ICTAI.2016.0103, 2016
[14] Multi Agent Learning of Relational Action Models
Christophe Rodrigues and Henry Soldano and Gauvain Bourgne and Céline Rouveirol
1087--1088, ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic - Including Prestigious Applications of Intelligent Systems (PAIS 2014), DBLP:conf/ecai/2014, 10.3233/978-1-61499-419-0-1087, 2014
[15] Multi Agent Learning of Relational Action Models
Christophe Rodrigues and Henry Soldano and Gauvain Bourgne and Céline Rouveirol
1087--1088, IOS Press, Frontiers in Artificial Intelligence and Applications, 263, rodrigues, 21st European Conference on Artificial Intelligence (ECAI 2014), Prague, Czech Republic, Torsten Schaub and Gerhard Friedrich and Barry O'Sullivan, 2014
[16] SetNet: Ensemble Method Techniques for Learning Regulatory Networks
Chebil Inès and Elati Mohamed and Rouveirol Céline and Santini Guillaume
34--39, 12th International Conference on Machine Learning and Applications, ICMLA 2013, Miami, FL, USA, December 4-7, 2013, Volume 1, DBLP:conf/icmla/2013-1, 10.1109/ICMLA.2013.14, 2013
[18] Hybrid method inference for the construction of cooperative regulatory network in human
Ines Chebil and Rémy Nicolle and Guillaume Santini and Céline Rouveirol and Mohamed Elati
121--126, 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2013), Shanghai, China, 10.1109/BIBM.2013.6732474, 2013
[19] A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets
Mouhoubi Karima and Létocart Lucas and Rouveirol Céline
585--593, Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III, DBLP:conf/iconip/2012-3, 10.1007/978-3-642-34487-9_71, 2012
[20] Active Learning of Relational Action Models
Rodrigues, Christophe and Gérard, Pierre and Rouveirol, Céline and Soldano, Henry
302--316, Springer, Lecture Notes in Computer Science, 7207, 21st International Conference on Inductive Logic Programming (ILP 2011), Windsor Great Park, UK, 10.1007/978-3-642-31951-8_26, Muggleton, Stephen and Tamaddoni-Nezhad, Alireza and Lisi, Francesca, 978-3-642-31950-1, 2012
[21] Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming
Essaidi Moez and Osmani Aomar and Rouveirol Céline
693--700, IEEE, Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), http://doi.ieeecomputersociety.org/10.1109/ICTAI.2011.110, 978-1-4577-2068-0, 2011
[22] Itemset Mining in Noisy Contexts: A Hybrid Approach
Mouhoubi Karima and Létocart Lucas and Rouveirol Céline
33--40, IEEE, Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2011), http://doi.ieeecomputersociety.org/10.1109/ICTAI.2011.14, 978-1-4577-2068-0, 2011
[23] A case study in a recommender system based on purchase data
Bruno Pradel and Savaneary Sean and Julien Delporte and Guérif Sébastien and Rouveirol Céline and Nicolas Usunier and Françoise Fogelman-Soulié and Frédéric Dufau-Jo
377-385, ACM Press, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2011), 2011
[24] A supervised machine learning link prediction approach for academic collaboration recommendation
Benchettara, Nesserine and Kanawati, Rushed and Rouveirol, Céline
253-256, ACM Press, Proceedings of the 2010 ACM Conference on Recommender Systems, (RecSys 2010), 2010
[25] Incremental Learning of Relational Action Models in Noisy Environments
Christophe Rodrigues and Pierre Gérard and Céline Rouveirol
Revised Papers, 206--213, Springer, Lecture Notes in Computer Science, 6489, 20th International Conference on Inductive Logic Programming (ILP 2010), 2010
[26] Incremental Learning of Relational Action Rules
Rodrigues Christophe and Gérard Pierre and Rouveirol Céline and Soldano Henry
451--458, IEEE Computer Society, Washington, DC, USA, Proceedings of the International Conference on Machine Learning and Applications (ICMLA'10), Sorin Draghici and Taghi M. Khoshgoftaar and Vasile Palade and Witold Pedrycz and M. Arif Wani and Xingquan Zhu, 978-0-7695-4300-0, 2010
[27] Extension of the Top-Down Data-Driven Strategy to ILP
Alphonse Erick and Rouveirol Céline
49-63, Springer, Lecture Notes in Computer Science, 4455, Inductive Logic Programming, 16th International Conference, ILP 2006, Revised Selected Papers, http://dx.doi.org/10.1007/978-3-540-73847-3_13, 2007

Autres conférences

[28] Network Inference of Dynamic Models by the Combination of Spanning Arborescences
Anthony Coutant and Céline Rouveirol
Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM 2017), Lille, France, 2017
[29] A Consistency Based Approach of Action Model Learning in a Community of Agents
Rodrigues, Christophe and Soldano, Henry and Bourgne, Gauvain and Rouveirol, Céline
(ext. abstract), 1557--1558, International Foundation for Autonomous Agents and Multiagent Systems, 2014 International Conference on Autonomous Agents and Multi-agent Systems (AAMAS '14), Paris, France, 2014
[30] Heuristique pour l'extraction de motifs ensemblistes bruités
Mouhoubi Karima and Létocart Lucas and Rouveirol Céline
Saint-Etienne, France, 12ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF'2011), 2011
[31] Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks
Benchettara, Nesserine and Kanawati, Rushed and Rouveirol, Céline
326-330, IEEE Computer Society, International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010), 2010
[32] Towards a semi-automatic functional annotation tool based on decision tree techniques
Jérôme Azé and Lucie Gentils and Claire Toffano-Nioche and Valentin Loux and Jean-François Gibrat and Philippe Bessières and Céline Rouveirol and Anne Poupon and Christine Froidevaux
International Workshop on Machine Learning in Systems Biology (MLSB 2007), 2007
[33] Identification of functional modules based on transcriptional regulation structure
Etienne Birmelé and Mohamed Elati and Rouveirol Céline and Christophe Ambroise
International Workshop on Machine Learning in Systems Biology (MLSB 2007), 2007