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2020 – today
- 2022
[j1]Étienne Goffinet
, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant:
Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. Comput. Stat. Data Anal. 176: 107565 (2022)- 2021
- [c5]Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant:
Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. AALTD@ECML/PKDD 2021: 71-87 - [c4]Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant:
Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. ESANN 2021 - 2020
- [i1]Étienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi:
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. CoRR abs/2008.00946 (2020)
2010 – 2019
- 2015
- [b1]Anthony Coutant:
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). University of Nantes, France, 2015 - [c3]Anthony Coutant, Hoel Le Capitaine, Philippe Leray:
On the equivalence between regularized NMF and similarity-augmented graph partitioning. ESANN 2015 - [c2]Anthony Coutant, Philippe Leray, Hoel Le Capitaine:
Probabilistic Relational Models with clustering uncertainty. IJCNN 2015: 1-8 - 2014
- [c1]Anthony Coutant, Philippe Leray, Hoel Le Capitaine:
Learning Probabilistic Relational Models Using Non-Negative Matrix Factorization. FLAIRS 2014
Coauthor Index
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