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Hoel LE CAPITAINE

ENSEIGNANT-CHERCHEUR


: Hoel.Lecapitaineatls2n.fr

Page pro : https://hlecapit.github.io

Adresse :



Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

    • [5] H. Le Capitaine, C. Frelicot. A family of measures for best top-n class-selective decision rules. In Pattern Recognition ; éd. Elsevier, 2012, vol. 45, num. 1.
      https://hal.science/hal-00632970v1
    • [6] H. Le Capitaine. A relevance-based learning model of fuzzy similarity measures. In IEEE Transactions on Fuzzy Systems ; éd. Institute of Electrical and Electronics Engineers, 2012, vol. 20, num. 1.
      https://hal.science/hal-00627673v1
    • [7] H. Le Capitaine, C. Frélicot. A Cluster-Validity Index Combining an Overlap Measure and a Separation Measure Based on Fuzzy-Aggregation Operators. In IEEE Transactions on Fuzzy Systems ; éd. Institute of Electrical and Electronics Engineers, 2011, vol. 19, num. 3.
      https://hal.science/hal-00646143v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [8] A. Bazouzi, Z. Miklos, M. Foursov, H. Le Capitaine. ConstrucTED : Constructing Tailored Educational Datasets From Online Courses. In 16th International Conference on Computer Supported Education (CSEDU), mai 2024, Angers, France.
      https://hal.science/hal-04510615v1
    • [9] F. Gauthier-Clerc, H. Le Capitaine, F. Claveau, P. Chevrel. Comparing Neural Network and Linear Models in Economic MPC: Insights from BOPTEST for Building Temperature Control. In ECC 2024: European Control Conference, juin 2024, Stockholm, Suède.
      https://hal.science/hal-04550997v1
    • [10] A. Bazouzi, H. Le Capitaine, Z. Miklos, M. Foursov. Precedability Prediction Between Open Educational Resources. In International Conference on Information Technology for Social Good (GoodIT ’24), septembre 2024, Bremen, Allemagne.
      https://hal.science/hal-04654407v1
    • [11] A. Bazouzi, M. Foursov, H. Le Capitaine, Z. Miklos. EMBEDD-ER : EMBEDDing Educational Resources Using Linked Open Data. In 15th International Conference on Computer Supported Education (CSEDU), avril 2023, Prague, République tchèque.
      https://hal.science/hal-04037990v2
    • [12] F. Gauthier-Clerc, H. Le Capitaine, F. Claveau, P. Chevrel. 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. In ECC 2023: European Control Conference, juin 2023, Bucharest, Roumanie.
      https://hal.science/hal-04086508v1
    • [13] F. Gauthier-Clerc, H. Le Capitaine, F. Claveau, P. Chevrel. A Hybrid Linear-Nonlinear ARX Model for reliable Multi-Step Prediction: application to SwPool Benchmark. In Conference on Decision and Control, décembre 2023, Singapore, Singapour.
      https://hal.science/hal-04213807v1
    • [14] C. Picard, H. Le Capitaine. Explaining autoencoders with local impact scores. In Workshop on Trustworthy Artificial Intelligence as a part of the ECML/PKDD 22 program, septembre 2022, Grenoble, France, France.
      https://hal.science/hal-03773427v1
    • [15] V. Connes, C. de La Higuera, H. Le Capitaine. What should I learn next? Ranking Educational Resources. In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), juillet 2021, Madrid, Espagne.
      https://hal.science/hal-03434191v1
    • [16] V. Connes, C. de La Higuera, H. Le Capitaine. Using Grammatical Inference to Build Privacy Preserving Data-sets of User Logs. In International Conference on Grammatical Inference, août 2021, Nantes, France.
      https://hal.science/hal-03434169v1
    • [17] J. Pan, H. Le Capitaine. Metric learning with relational data. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, avril 2019, Bruges, Belgique.
      https://hal.science/hal-02120915v1
    • [18] J. Pan, H. Le Capitaine. Metric learning with sub modular functions. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, avril 2019, Bruges, Belgique.
      https://hal.science/hal-02120910v1
    • [19] J. Pan, H. Le Capitaine, P. Leray. Relational Constraints for Metric Learning on Relational Data. In Eighth International Workshop on Statistical Relational AI, IJCAI, juillet 2018, Stockholm, Suède.
      https://hal.science/hal-02017253v1
    • [20] A. Coutant, H. Le Capitaine, P. Leray. On the equivalence between regularized nmf and similarity-augmented graph partitioning. In 23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), 2015, Bruges, Belgique.
      https://hal.science/hal-01150691v1
    • [21] A. Coutant, L. Philippe, H. Le Capitaine. Probabilistic Relational Models with Clustering Uncertainty. In IEEE International Joint Conference on Neural Networks (IJCNN 2015), juillet 2015, Killarney, Irlande.
      https://hal.science/hal-01183563v1
    • [22] A. Coutant, L. Philippe, H. Le Capitaine. Learning Probabilistic Relational Models Using Non-Negative Matrix Factorization. In International Florida Artificial Intelligence Research Society (FlAIRS) Conference, mai 2014, Pensacola Beach, Floride, états-Unis.
      https://hal.science/hal-01183565v1
    • [23] A. Coutant, P. Leray, H. Le Capitaine. Learning Probabilistic Relational Models using co-clustering methods. In Structured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) ICML Workshop, 2013, Atlanta, états-Unis.
      https://hal.science/hal-00819031v1
    • [24] H. Le Capitaine. Online Equivalence Learning Through A Quasi-Newton Method. In IEEE Int. Conf. on Fuzzy Systems, juin 2012, Brisbane, Australie.
      https://hal.science/hal-00685467v1
    • [25] G. Demarcq, H. Le Capitaine, M. Berthier. Geodesic interactive segmentation in the color monogenic signal framework. In IEEE Int. Conf. on Image Processing, septembre 2012, Orlando, états-Unis.
      https://hal.science/hal-00732832v1
    • [26] H. Le Capitaine. Set-Valued Bayesian Inference with Probabilistic Equivalence. In Int. Conf. on Pattern Recognition, novembre 2012, Tsukuba, Japon.
      https://hal.science/hal-00732834v1
    • [27] H. Le Capitaine, C. Frélicot. A fast fuzzy c-means algorithm for color image segmentation. In EUSFLAT'2011, juillet 2011, , France.
      https://hal.science/hal-00738414v1
    • [28] H. Le Capitaine, C. Frelicot. An Optimum Class-Rejective Decision Rule and Its Evaluation. In Proceedings of the 2010 20th International Conference on Pattern Recognition, 2010, Istanbul, Turquie.
      https://hal.science/hal-00565943v1
    • [29] H. Le Capitaine, C. Frelicot. On Selecting an Optimal Number of Clusters for Color Image Segmentation. In Proceedings of the 2010 20th International Conference on Pattern Recognition, 2010, Istanbul, Turquie.
      https://hal.science/hal-00565945v1
    • [31] R. Quéré, H. Le Capitaine, N. Fraisseix, C. Frélicot. On normalizing fuzzy coincidence matrices to compare fuzzy and/or possibilistic partitions with the Rand index. In IEEE Int. Conf. on Data Mining, ICDM 2010, 2010, , Australie.
      https://hal.science/hal-00738530v1
    • [32] H. Le Capitaine, C. Frelicot. A Fuzzy Modeling Approach to Cluster Validity. In 18th International Conference on Fuzzy Systems, FUZZIEEE'09, 2009, Jeju Island, Corée du Sud.
      https://hal.science/hal-00441442v1
    • [33] H. Le Capitaine, C. Frelicot. Classification with reject options in a logical framework: a fuzzy residual implication approach. In International Fuzzy Systems Association World Congress and European Society for Fuzzy Logic and Technologies Conference, 2009, Lisbonne, Portugal.
      https://hal.science/hal-00441432v1
    • [34] H. Le Capitaine, C. Frelicot. Towards a unified logical framework of fuzzy implications to compare fuzzy sets. In International Fuzzy Systems Association World Congress and European Society for Fuzzy Logic and Technologies Conference, 2009, Lisbonne, Portugal.
      https://hal.science/hal-00441429v1
    • [35] H. Le Capitaine, C. Frelicot. A family of cluster validity indexes based on a l-order fuzzy OR operator. In Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2008), 2008, Orlando, états-Unis.
      https://hal.science/hal-00441427v1
    • [36] H. Le Capitaine, C. Frelicot. A new fuzzy 3-rules pattern classifier with reject options based on aggregation of membership degrees. In 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, juin 2008, Malaga, Espagne.
      https://hal.science/hal-00292608v1
    • [37] H. Le Capitaine, C. Frelicot. A new fuzzy 3-rules pattern classiier with reject options based on aggregation of membership degrees. In 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, juin 2008, Malaga, Espagne.
      https://hal.science/hal-00293806v1
    • [38] H. Le Capitaine, C. Frelicot. A Class-Selective Rejection Scheme based on Blockwise Similarity of Typicality Degrees. In International Conference on Pattern Recognition (ICPR'2008), décembre 2008, Tampa, états-Unis.In IAPR (éds.), Proc. of International Conference on Pattern Recognition (ICPR'2008). IEEE, 2008.
      https://hal.science/hal-00441426v1
    • [39] H. Le Capitaine, T. Batard, C. Frélicot, M. Berthier. Blockwise similarity in [0,1] via triangular norms and Sugeno integrals -- Application to cluster validity.. In IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2007., juillet 2007, Londres, Royaume-Uni.In IEEE (éds.), 16th International Conference on Fuzzy Systems, FUZZIEEE'07, Londres, Royaume-Uni.. IEEE, 2007.
      https://hal.science/hal-00267631v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [40] H. Le Capitaine, M. Gelgon, G. Raschia. Fair Classification of Personal Data: an Introduction. In Atelier national Protection de la Vie Privée (APVP'2015), juin 2015, Mosnes, France.
      https://hal.science/hal-01163040v1
    • [41] A. Coutant, P. Leray, H. Le Capitaine. Apprentissage de modèles relationnels probabilistes par factorisation non-négative de matrices. In 7èmes journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France.
      https://hal.science/hal-01005777v1
    • [42] H. Le Capitaine, T. Batard, C. Frelicot, M. Berthier. Mesure de similarité par blocs via les normes triangulaires et l'intégrale de Sugeno - Application à la détection de contours. In Rencontres Francophone sur la Logique Floue et ses Applications, LFA, 2007, Nîmes, France.
      https://hal.science/hal-00292614v1

Theses et HDR (THESE)

    • [43] H. Le Capitaine. Opérateurs d'agrégation pour la mesure de similarité. Application à l'ambiguïté en reconnaissance de formes.. Thèses : Université de La Rochelle.
      https://theses.hal.science/tel-00438516v1

Autres publications (AUTRES)

    • [45] H. Le Capitaine, C. Frélicot. On the reinforcement of uninorms and absorbing norms. Rapport technique, 2016 ; UNIVERSITE NANTES ANGERS LE MANS.
      https://hal.science/hal-01357234v1
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