Anthony Coutant
According to our database1,
Anthony Coutant
authored at least 8 papers
between 2014 and 2022.
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Bibliography
2022
Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation.
Comput. Stat. Data Anal., 2022
2021
Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021
2020
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation.
CoRR, 2020
2015
Modèles Relationnels Probabilistes et Incertitude de Références : Apprentissage de structure avec algorithmes de partitionnement. (Probabilistic Relational Models and Reference Uncertainty / Probabilistic Relational Models and Reference Uncertainty : Structure learning with clustering algorithms).
PhD thesis, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
On the equivalence between regularized NMF and similarity-augmented graph partitioning.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014