Blockwise Similarity in [0, 1] via Triangular Norms and Sugeno Integrals - Application to Cluster Validity. - Hoel Le Capitaine; Thomas Batard; Carl Frélicot; Michel Berthier (FUZZ-IEEE, 2007)

A class-selective rejection scheme based on blockwise similarity of typicality degrees. - Hoel Le Capitaine; Carl Frélicot (ICPR, 2008)

A Family of Cluster Validity Indexes Based on a l-Order Fuzzy OR Operator. - Hoel Le Capitaine; Carl Frélicot (SSPR/SPR, 2008)

Classification with Reject Options in a Logical Framework: a fuzzy residual implication approach. - Hoel Le Capitaine; Carl Frélicot (IFSA/EUSFLAT Conf., 2009)

Towards a Unified Logical Framework of Fuzzy Implications to Compare Fuzzy Sets. - Hoel Le Capitaine; Carl Frélicot (IFSA/EUSFLAT Conf., 2009)

A fuzzy modeling approach to cluster validity. - Hoel Le Capitaine; Carl Frélicot (FUZZ-IEEE, 2009)

Opérateurs d'agrégation pour la mesure de similarité. Application à l'ambiguïté en reconnaissance de formes. (Aggregation operators for similarity measures. Application to ambiguity in pattern recognition). - Hoel Le Capitaine (2009)

On (weighted) k-order fuzzy connectives. - Hoel Le Capitaine; Carl Frélicot (FUZZ-IEEE, 2010)

On Normalizing Fuzzy Coincidence Matrices to Compare Fuzzy and/or Possibilistic Partitions with the Rand Index. - Romain Quere; Hoel Le Capitaine; N. Fraisseix; Carl Frélicot (ICDM, 2010)

An Optimum Class-Rejective Decision Rule and Its Evaluation. - Hoel Le Capitaine; Carl Frélicot (ICPR, 2010)

On Selecting an Optimal Number of Clusters for Color Image Segmentation. - Hoel Le Capitaine; Carl Frélicot (ICPR, 2010)

A fast fuzzy c-means algorithm for color image segmentation. - Hoel Le Capitaine; Carl Frélicot (EUSFLAT Conf., 2011)

A Cluster-Validity Index Combining an Overlap Measure and a Separation Measure Based on Fuzzy-Aggregation Operators. - Hoel Le Capitaine; Carl Frélicot (IEEE Trans. Fuzzy Syst., 2011)

Online equivalence learning through a Quasi-Newton method. - Hoel Le Capitaine (FUZZ-IEEE, 2012)

Geodesic interactive segmentation in the color monogenic signal framework. - Guillaume Demarcq; Hoel Le Capitaine; Michel Berthier (ICIP, 2012)

Set-valued Bayesian inference with probabilistic equivalence. - Hoel Le Capitaine (ICPR, 2012)

A family of measures for best top-n class-selective decision rules. - Hoel Le Capitaine; Carl Frélicot (Pattern Recognit., 2012)

A Relevance-Based Learning Model of Fuzzy Similarity Measures. - Hoel Le Capitaine (IEEE Trans. Fuzzy Syst., 2012)

Block similarity in fuzzy tuples. - Carl Frélicot; Hoel Le Capitaine (Fuzzy Sets Syst., 2013)

Learning Probabilistic Relational Models Using Non-Negative Matrix Factorization. - Anthony Coutant; Philippe Leray 001; Hoel Le Capitaine (FLAIRS, 2014)

A unified view of class-selection with probabilistic classifiers. - Hoel Le Capitaine (Pattern Recognit., 2014)

On the equivalence between regularized NMF and similarity-augmented graph partitioning. - Anthony Coutant; Hoel Le Capitaine; Philippe Leray 001 (ESANN, 2015)

Probabilistic Relational Models with clustering uncertainty. - Anthony Coutant; Philippe Leray 001; Hoel Le Capitaine (IJCNN, 2015)

Relational Constraints for Metric Learning on Relational Data. - Jiajun Pan; Hoel Le Capitaine; Philippe Leray 001 (CoRR, 2018)

Constraint selection in metric learning. - Hoel Le Capitaine (Knowl. Based Syst., 2018)

Metric learning with relational data. - Jiajun Pan; Hoel Le Capitaine (ESANN, 2019)

Metric learning with submodular functions. - Jiajun Pan; Hoel Le Capitaine (Neurocomputing, 2020)

What should I learn next? Ranking Educational Resources. - Victor Connes; Colin de la Higuera; Hoël Le Capitaine (COMPSAC, 2021)

Using Grammatical Inference to Build Privacy Preserving Data-sets of User Logs. - Victor Connes; Colin de la Higuera; Hoel Le Capitaine (ICGI, 2021)

Optimisation du pilotage industriel d'une piscine publique grâce à la modélisation dirigée par les données : proposition d'un jeu de données applicatif. - François Gauthier-Clerc; Hoel Le Capitaine; Fabien Claveau; Philippe Chevrel (APIA, 2023)

A Hybrid Linear-Nonlinear ARX Model for Reliable Multi-Step Prediction : Application to SwPool Benchmark. - François Gauthier-Clerc; Hoel Le Capitaine; Fabien Claveau; Philippe Chevrel (CDC, 2023)

EMBEDD-ER: EMBEDDing Educational Resources Using Linked Open Data. - Aymen A. Bazouzi; Mickaël Foursov; Hoël Le Capitaine; Zoltán Miklós 001 (CSEDU (1), 2023)

Operating data of a specific Aquatic Center as a Benchmark for dynamic model learning: search for a valid prediction model over an 8-hour horizon. - François Gauthier-Clerc; Hoel Le Capitaine; Fabien Claveau; Philippe Chevrel (ECC, 2023)

Apprentissage de comparaison et représentation d'objets complexes. - Hoel Le Capitaine (2024)

ConstrucTED: Constructing Tailored Educational Datasets from Online Courses. - Aymen A. Bazouzi; Zoltán Miklós 001; Mickaël Foursov; Hoël Le Capitaine (CSEDU (1), 2024)

Comparing Neural Network and Linear Models in Economic MPC: Insights from BOPTEST for Building Temperature Control. - François Gauthier-Clerc; Hoel Le Capitaine; Fabien Claveau; Philippe Chevrel (ECC, 2024)

Precedability Prediction Between Open Educational Resources. - Aymen A. Bazouzi; Hoël Le Capitaine; Zoltán Miklós 001; Mickaël Foursov (GoodIT, 2024)

Metric learning with multi-relational data. - Jiajun Pan; Hoel Le Capitaine (Int. J. Mach. Learn. Cybern., 2025)