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, ...
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
- 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)