Research Activities

Current research domains

• Constrained Clustering in Declarative Formalisms, and more generally Machine Learning and Constraints
  
• Inductive Logic Programming and Statistical Relational Learning
  
• Pattern Mining
  
• Applications: Geographic Information Systems, Chemoinformatics, Text Mining, ...
  

Publications

Softwares

• QuantMiner, a Data Mining tool for mining Quantitative Association Rules
• Authors: Ansaf Salleb-Aouissi, Christel Vrain, Cyril Nortet, Xiangrong Kong, Vivek Rathod, and Daniel Cassard.
• Institutions: CCLS Columbia University (USA), LIFO University of Orleans (France), BRGM (France)
  
• Software for learning Markov Logic Networks, developed during the PhD Thesis of Quang-Thang Dinh: a set of Markov Logic Network learning tools, relying on the Alchemy library
• Constraint Programming for Clustering 
  Contact: khanh-chuong.duong (at) univ-orleans (dot) fr

Recent Projects  menu

• ANR Contrat doctoral en Intelligence Artificielle - Université d'Orléans
  AI.iO Artificial Intelligence in Orléans: Learning from heterogeneous data and expert knowledge. Applications in geological and environmental sciences.
  Leader: C. Vrain, Co-leaders: B. Galerne, M. Pereira de Souto. 2020-2025.
• ANR InvolvD : Interactive constraint elicitation for unsupervised and semi-supervised data mining.
  GREYC, LABRI, LIFO, CERMN
  Leader: A. Zimmermann, Co-scientific leaders: D. Auber, R. Bureau, C.Vrain. 2021-2024
• ANR Herelles : Hétérogénéité des données - Hétérogénéité des méthodes: Un cadre collaboratif unifié pour l'analyse interactive des données temporelles.
  ICube-UNISTRA, IRSTEA-TETIS, MIA, GREYC, LIFO. Leader: P. Gançarski. 2020-2024
• RTR (Réseau Thématique Régional) DIAMS Données, Intelligence Artificielle, Modélisation, Simulation,financé par la région Centre Val de Loire. Co-porteur avec D. Conte, LIFAT, Tours. 2019-2023
• APR IR - OptiMedias​. 2023-2027
• DECADE Découverte et exploitation des connaissances pour l’aide à la décision en chimie thérapeutique, 2017-2018 et HyqualiBio 2018-2019, Projets Mastodons CNRS.
• MAP Machine Learning, a Multistrategy Approach, Project CAPES-COFECUB, 2015-2018.
  
• GIRAFON Grands graphes: interrogation, fouille et analyse, Big graphs: query, mining and analysis. 2015-2017.
• 2 contracts with Orange Labs, 2012-2015.
  
• FDTE Fouille de Données Temporelles Environnementales, Temporal Data Mining for Environemental Data, 2012-2014.
  
• GD2GS From genomic data to graph structure (http://gd2gs.ibisc.univ-evry.fr/) (teams involved in the project: IBISC, HEUDIASYC, CEA fonctional genomic department, LIFO), 2006-2008.
• ACI Biotim (teams involved in the project: IMEDIA and Atoll teams from INRIA, IRD, INRA, CEDRIC, LIFO), 2004 - 2006.

PhD students menu

• Aymeric Beauchamp (co-supervised with T.B.H. Dao and S. Loudni). Clustering sous contraintes : intégration incrémentale et active
• Mathieu Guilbert (co-directed with T.B.H. Dao and M. de Souto). Clustering sous contraintes : connaissances, retour utilisateur et interprétabilité
• Franck-Anael Mbiaya (co-supervised with F. Ros, T.B.H. Dao and Y. Lucas)$Knowledge Integration in Deep Leaning for Computer Vision

Alumni menu

• Antoine Guillaume. Stratégies de maintenance prédictive multisite interprétables pour automates interactifs. Contrat CIFRE EquensWorldline
• Viet Dung Nghiem Nguyen (co-directed with T.B.H. Dao) Apprentissage et Programmation par contraintes.
• Marie Arcadias (co-directed with E. Lassalle and G.Cleuziou), Orange Labs PhD
  
• Huan Huan Jin (co-directed with E. Lassalle and G.Cleuziou), Orange Labs PhD
• Khanh Chuong Duong (co-directed with T.B. Hanh Dao) Constraint clustering in Constraint Programming
• Thang Dinh Quang, (co-directed with M. Exbrayat) Statistical Relational Learning
• Jacques Henri Sublemontier (co-directed with G. Cleuziou and L. Martin) Multi-source unsupervised clustering
• Julie Dubois, (co-directed with L. Morin-Allory - ICOA, Institut de Chimie Analytique et Organique) Chemoinformatics
• Andrei Letchnenko (co-directed with A. Lallouet): Lerning Constraint Solvers
  
• Guillaume Cleuziou (co-directed with L. Martin and V. Clavier): Ovelapping Clustering
  
• Ansaf Salleb, Knowledge Discovery in SIG
  
• Agnès Braud, Parallelization of Learning Algorithms and Propositionnalization
  
• Isabelle Debourge (co-directed with S. Billot), Knowledge Extraction from Texts
  
• Teddy Turmeaux, Inductive Logic Programming with Constraints
  
• Frédéric Moal, Knowledge Discovery in Databases
  
• Lionel Martin, Inductive Logic Programming
  

Organization of conferences and workshops menu

• Organisation des journées plénières du GDR IA, Orléans, 27-29 mai 2019
• Organisation d’un workshop d’une journée Machine Learning and Explainability, 10/2018
• Organization of ILP 2017, the 27th Inductive Logic Conference
• Co-organization of SDA 2015, Symbolic Data Analysis Workshop, November 2015, Orléans
• Co-organization of a one-day meeting on New Trends in Clustering, June 2015, Orléans
• Co-organization of a one-day meeting on Constraint Programming and Data Mining, November 2014, Orléans
• Co-organization of a one-day meeting AMLaGAP, June 2015, Orléans

Member of International Program Committees menu

• ECML/PKDD 23, ECML/PKDD 22, ECML/PKDD 21 (Guest Editorial Board), ECML/PKDD20 (Guest Editorial Board, Area Chair), ECML/PKDD19 (Guest Editorial Board, Area Chair), ECML/PKDD18 (Guest Editorial Board),  ECML/PKDD16 (Guest Editorial Board), ECML/PKDD15 (Guest Editorial Board), ECML/PKDD14 (Guest Editorial Board), ECML/PKDD 13 (Guest Editorial Board),  ECML/PKDD 12,  ECML/PKDD 10 , ECML/PKDD 09, ECML(European Conference on Machine Learning) 08
• IJCAI 2020 (senior PC), AAAI 2020, IJCAI 2019 (senior PC), IJCAI 2018, AAAI 2018,IJCAI 2017, IJCAI 2013, ECAI 2012, AAAI 11
• ILP 2020, ILP 2019, ILP 2018, ILP 2017(co-chair), ILP 2016, ILP 2015, ILP 2014, ILP 2013, ILP 2012, ILP 2011, ILP 2010, ILP 2009, ILP 2008, ILP 2007, ILP 2006, ILP 2005, ILP 2004 (Inductive Logic Programming conference)
• CP 2019, CP 2019 special track CP and Data Science, CP 2018 et CP 2018 special track CP and Data Science, CP 2017
  
• Co-chair of the track Artificial Intelligence and Big Data analytics of SoICT 2016
• ICML 11, ICML 07 (International Conference on Machine Learning), KDD 2010 (16th ACM SIGKDD International on Knowledge Discovery and Data Mining)
• CoCoMile 13 (workshop of AAAI 2013) et de LML 2013 (workshop of ECML/PKDD 13)
• ACML 09 (1st Asian Conf. On Machine Learning, univ. Nanjing)
• ICTAI 08, ICTAI 07 (International Conference on Tools for Artificial Intelligence)
• ISMIS 17, ISMIS 15, ISMIS 14, ISMIS 12, ISMIS 11, ISMIS 09, ISMIS 08, ISMIS 06 (International Symposium on Methodologies for Intelligent Systems)
• ICAART 15
• First International Workshop on Interesting Knowledge Mining (IKM 09), lié à ICDM 09
• Workshop MCD 08 during ICDM 08
• TEMA workshop organized with EPIA 2017, EPIA 2015, EPIA 11,  EPIA 09,  EPIA 07 and Text Mining, Human Language Technologies and Information Retrieval workshop (TMHLTIR Workshop of EPIA 2005)