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  Charles-Maxime Gauriat, Yannick Pencolé, Pauline Ribot, Gregory Brouillet. Modèles Additifs Neuronaux Multi classes (MNAM). LAAS Research and Technology Days 2024 (RTDAYS), Jul 2024, Toulouse, France. ⟨hal-04775898⟩
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  Yannick Pencolé. Discrete-Event systems: Symbolic representations. Doctoral. Module T7. Discrete-Event systems, Girona, Spain. 2022, pp.41. ⟨hal-04775887⟩
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  Yannick Pencolé. Notes de cours: Analyse, Simulation et Commande de systèmes (max,+)-linéaires.. Master. Module Controle et Simulation (partie 1), Université Paul Sabatier, Toulouse, France. 2023, pp.58. ⟨hal-04775880⟩
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  Patricia Monica Campos-Mayer-Vicente, Felipe Gomes Cabral, Públio M. Lima, Marcos Vicente Moreira, Audine Subias, et al.. Property-Based Transparency: a New Utility Definition*. 2024 IEEE 20th International Conference on Automation Science and Engineering, Aug 2024, Bari (IT), Italy. ⟨hal-04775876⟩
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  Patricia Monica Campos-Mayer-Vicente, Felipe Gomes Cabral, Públio M. Lima, Marcos Vicente Moreira, Audine Subias, et al.. Transparência Baseada em Propriedade: uma Nova Noção de Utilidade para Sistemas a Eventos Discretos ⋆. XXV Congresso Brasileiro de Automática, Oct 2024, Rio de Janeiro (BR), Brazil. ⟨hal-04775872⟩
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  Carine Jauberthie, Nathalie Verdière, Louise Travé-Massuyès. Functional Diagnosability of Possibly Uncertain Systems. IEEE Control Systems Letters, 2024, 8, pp.2181-2186. ⟨10.1109/LCSYS.2024.3456230⟩. ⟨hal-04703936⟩
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  Ibis Velasquez, Euriell Le Corronc, Euriell Le Corronc, Yannick Pencolé. Learning normal and delayed behavior of max-plus linear systems from input and output event data. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Aug 2024, Bari, Italy. ⟨hal-04718040⟩
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  Charles-Maxime Gauriat, Yannick Pencolé, Pauline Ribot, Gregory Brouillet. An experimental setup for learning models for the RUL estimation of bearings in rotary machine tools: towards the learning of more interpretable models. Rapport LAAS n° 23641. 2023. ⟨hal-04715967⟩
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  Louis Goupil. Knowledge-Enhanced Machine Learning for Diagnosis. Automatic. INSA TOULOUSE, 2024. English. ⟨NNT : ⟩. ⟨tel-04714648⟩
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  Edgar Hernando Sepúlveda-Oviedo, Louise Travé-Massuyès, Audine Subias, Marko Pavlov, Corinne Alonso. An ensemble learning framework for snail trail fault detection and diagnosis in photovoltaic modules. Engineering Applications of Artificial Intelligence, 2024, 137 (Part A), pp.109068. ⟨10.1016/j.engappai.2024.109068⟩. ⟨hal-04689176⟩

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