Hoel Le Capitaine
Présentation
Liste de publications
Publications
Publications
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Precedability Prediction Between Open Educational ResourcesInternational Conference on Information Technology for Social Good (GoodIT ’24), Sep 2024, Bremen, Germany. ⟨10.1145/3677525.3678686⟩ |
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Comparing Neural Network and Linear Models in Economic MPC: Insights from BOPTEST for Building Temperature ControlECC 2024: European Control Conference, EUCA, Jun 2024, Stockholm, Sweden. ⟨10.23919/ECC64448.2024.10590813⟩ |
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ConstrucTED : Constructing Tailored Educational Datasets From Online Courses16th International Conference on Computer Supported Education (CSEDU), May 2024, Angers, France. pp.645-652, ⟨10.5220/0012745000003693⟩ |
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Operating data of a specific Aquatic Center as a Benchmark for dynamic model learning: search for a valid prediction model over an 8-hour horizonECC 2023: European Control Conference, EUCA, Jun 2023, Bucharest, Romania. ⟨10.23919/ECC57647.2023.10178287⟩ |
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EMBEDD-ER : EMBEDDing Educational Resources Using Linked Open Data15th International Conference on Computer Supported Education (CSEDU), Apr 2023, Prague, Czech Republic. pp.439-446, ⟨10.5220/0012045300003470⟩ |
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A Hybrid Linear-Nonlinear ARX Model for reliable Multi-Step Prediction: application to SwPool BenchmarkConference on Decision and Control, IEEE, Dec 2023, Singapore, Singapore. ⟨10.1109/CDC49753.2023.10383731⟩ |
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Explaining autoencoders with local impact scoresWorkshop on Trustworthy Artificial Intelligence as a part of the ECML/PKDD 22 program, IRT SystemX [IRT SystemX], Sep 2022, Grenoble, France, France |
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What should I learn next? Ranking Educational Resources2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), Jul 2021, Madrid, Spain. pp.109-114, ⟨10.1109/COMPSAC51774.2021.00026⟩ |
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Using Grammatical Inference to Build Privacy Preserving Data-sets of User LogsInternational Conference on Grammatical Inference, Aug 2021, Nantes, France |
Metric learning with relational dataEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2019, Bruges, Belgium |
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Metric learning with sub modular functionsEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2019, Bruges, Belgium |
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Relational Constraints for Metric Learning on Relational DataEighth International Workshop on Statistical Relational AI, IJCAI, Jul 2018, Stockholm, Sweden |
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On the equivalence between regularized nmf and similarity-augmented graph partitioning23th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015), 2015, Bruges, Belgium |
Fair Classification of Personal Data: an IntroductionAtelier national Protection de la Vie Privée (APVP'2015), Jun 2015, Mosnes, France |
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Probabilistic Relational Models with Clustering UncertaintyIEEE International Joint Conference on Neural Networks (IJCNN 2015), Jul 2015, Killarney, Ireland |
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Learning Probabilistic Relational Models Using Non-Negative Matrix FactorizationInternational Florida Artificial Intelligence Research Society (FlAIRS) Conference, May 2014, Pensacola Beach, Floride, United States |
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Apprentissage de modèles relationnels probabilistes par factorisation non-négative de matrices7èmes journées francophones sur les réseaux bayésiens (JFRB 2014), 2014, Paris, France |
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Learning Probabilistic Relational Models using co-clustering methodsStructured Learning: Inferring Graphs from Structured and Unstructured Inputs (SLG 2013) ICML Workshop, 2013, Atlanta, United States |
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Geodesic interactive segmentation in the color monogenic signal frameworkIEEE Int. Conf. on Image Processing, Sep 2012, Orlando, United States. pp.1573 - 1576 |
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Set-Valued Bayesian Inference with Probabilistic EquivalenceInt. Conf. on Pattern Recognition, Nov 2012, Tsukuba, Japan. pp.1-4 |
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Online Equivalence Learning Through A Quasi-Newton MethodIEEE Int. Conf. on Fuzzy Systems, Jun 2012, Brisbane, Australia. pp.1-8 |
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A fast fuzzy c-means algorithm for color image segmentationEUSFLAT'2011, Jul 2011, France. pp.1074-1081 |
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On Selecting an Optimal Number of Clusters for Color Image SegmentationProceedings of the 2010 20th International Conference on Pattern Recognition, 2010, Istanbul, Turkey. pp.3388--3391 |
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On normalizing fuzzy coincidence matrices to compare fuzzy and/or possibilistic partitions with the Rand indexIEEE Int. Conf. on Data Mining, ICDM 2010, 2010, Australia. pp.977-982 |
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An Optimum Class-Rejective Decision Rule and Its EvaluationProceedings of the 2010 20th International Conference on Pattern Recognition, 2010, Istanbul, Turkey. pp.3312--3315 |
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On (Weighted) k-Order Fuzzy ConnectivesIEEE Int. Conf. on Fuzzy Systems, 2010, Spain. pp.1-8 |
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Towards a unified logical framework of fuzzy implications to compare fuzzy setsInternational Fuzzy Systems Association World Congress and European Society for Fuzzy Logic and Technologies Conference, 2009, Lisbonne, Portugal. pp.1200--1205 |
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A Fuzzy Modeling Approach to Cluster Validity18th International Conference on Fuzzy Systems, FUZZIEEE'09, 2009, Jeju Island, South Korea. pp.462--467 |
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Classification with reject options in a logical framework: a fuzzy residual implication approachInternational Fuzzy Systems Association World Congress and European Society for Fuzzy Logic and Technologies Conference, 2009, Lisbonne, Portugal. pp.855--860 |
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A Class-Selective Rejection Scheme based on Blockwise Similarity of Typicality DegreesInternational Conference on Pattern Recognition (ICPR'2008), Dec 2008, Tampa, United States. pp.1--4 |
A new fuzzy 3-rules pattern classiier with reject options based on aggregation of membership degrees12th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, Jun 2008, Malaga, Spain. pp.473-480 |
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A family of cluster validity indexes based on a l-order fuzzy OR operatorJoint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2008), 2008, Orlando, United States. pp.612-621 |
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A new fuzzy 3-rules pattern classifier with reject options based on aggregation of membership degrees12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2008, Malaga, Spain. pp.473-480 |
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Blockwise similarity in [0,1] via triangular norms and Sugeno integrals -- Application to cluster validity.IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2007., Jul 2007, Londres, United Kingdom. pp.835-840 |
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Mesure de similarité par blocs via les normes triangulaires et l'intégrale de Sugeno - Application à la détection de contoursRencontres Francophone sur la Logique Floue et ses Applications, LFA, 2007, Nîmes, France. pp.49-56 |
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Knowledge In Medical Imaging (KIMI)Journée IHM & Santé, May 2019, Metz, France. |
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Prediction Fairness with respect to Sensitive Networks2025 |
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On the reinforcement of uninorms and absorbing norms[Technical Report] UNIVERSITE NANTES ANGERS LE MANS. 2016 |
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Opérateurs d'agrégation pour la mesure de similarité. Application à l'ambiguïté en reconnaissance de formes.Traitement du signal et de l'image [eess.SP]. Université de La Rochelle, 2009. Français. ⟨NNT : ⟩ |
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Apprentissage de comparaison et représentation d’objets complexesInformatique [cs]. Nantes Université, 2024 |