(Poster) Clustering de données massives — Analyse de données de turbofans, Journée scientifique de l’école doctorale Galilée, 2019

Additional material on the DESOM model

Deep Architectures for Joint Clustering and Visualization
Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
Workshop on Learning Representations for Data Clustering (LDRC), Pacific-Asia conference on Knowledge Discovery and Data mining (PAKDD), 2019

Deep Embedded SOM: Joint Representation Learning and Self-Organization
Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2019
[pdf] [presentation] [code]


A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data
Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag
IEEE International Conference on Big Data, 2018, pp. 1918-1924


GammaLib and ctools-A software framework for the analysis of astronomical gamma-ray data
J Knödlseder, M Mayer, C Deil, J-B Cayrou, E Owen, N Kelley-Hoskins, C-C Lu, R Buehler, F Forest, T Louge, H Siejkowski, K Kosack, L Gerard, A Schulz, P Martin, D Sanchez, S Ohm, T Hassan, S Brau-Nogué
Astronomy & Astrophysics, 2016/9/1, vol. 593, pp. A1