Research topics

• Clustering, constrained clustering

• Declarative approaches for Data Mining methods

• Knowledge integration of knowledge in Machine Learning and Data Mining methods

• Explainable Machine Learning and Data Mining methods

Projects

• 2025-2029: ANR FIDD Facilitated Exploration: Interactive Constraint-Driven Data Mining
  Partners: LISN, LIRMM, LS2N, GREYC, LIFO, CRIL and DeepLink

• 2022-2026: ARD JUNON - PREDICTION project Ground water level prediction leveraging expert knowledge
  Partners: LIFAT, LIFO, BRGM French Geological Survey

• 2022-2026: APR-IR Optimedias Optimisation de l'Exploration des Données par l'Intelligence Artificelle en Santé
  Partners: CHU Tours, LIFAT, LIFO, ATOS

• 2021-2025: ANR INVOLVD Interactive constraint elicitation for unsupervised and semi-supervised data mining
  Partners: GREYC, LIFO, LABRI, CERMN

• 2020-2024: ANR HERELLES Hétérogénéité des données - Hétérogénéité des méthodes : Un cadre collaboratif unifié pour l’analyse interactive de donnéés temporelles
  Partners: ICUBE, TETIS, AgroParisTech, LIFO, GREYC

• 2020-2026: ANR Contrats doctoraux IA.iO Artificial Intelligence in Orléans: Learning from heterogeneous data and expert knowledge. Applications in geological and environmental sciences
  Partners: LIFO, PRISME, BRGM French Geological Survey

• 2020-2023: CIFRE grant with ATOS Exploration de micro-posts d'actualité : représentation, structuration et description

PhD Students

• Duy-Dao Do, grant of the region Centre Val de Loire, since 2024, cosupervised with Anais Halftermeyer: Deep Learning and knowledge integration for temporal relations extraction

• Thi-Hai-Yen Vu, ANR IA.iO grant, since 2023, cosupervised with Vincent Nguyen, Christel Vrain and Hugo Breuillard (BRGM French Geological Survey): Semi- and self-supervised learning with clustering using knowledge. Application to mineral potential mapping

• Aymeric Beauchamp, ANR HERELLES grant, since 2021, cosupervised with Samir Loudni and Christel Vrain: Constrained clustering Incremental and Active Integration

• Mathieu Guilbert, ANR INVOLVD grant, since 2021, cosupervised with Christel Vrain and Marcilio De Souto: Constrained declarative based approach for explainable clustering

• Franck Anaël Mbaiya, ANR Contrats doctoraux IA.iO, since 2021, cosupervised with Christel Vrain, Frédéric Ros and Yves Lucas: Knowledge integration in deep architectures for image classification

• Olivier Gracianne, CIFRE grant with ATOS, cosupervised with Anaïs Halftermeyer, defended in 2023: Exploration de micro-posts d'actualité : représentation, structuration et description

• Nguyen-Viet-Dung Nghiem, grant of the region Centre Val de Loire, cosupervised with Christel Vrain, defended in 2021: Clustering and knowledge integration

• Khanh-Chuong Duong, national grant, cosupervised with Christel Vrain, defended in 2014: Constrained clustering by constraint programming

Post-Doctoral

• Etienne Lehembre, ARD JUNON grant, since 10/2024, Ground water level prediction leveraging expert knowledge