| GammaLib and ctools-A software framework for the analysis of astronomical gamma-ray data J Knödlseder, M Mayer, C Deil, JB Cayrou, E Owen, N Kelley-Hoskins, ... Astronomy & Astrophysics 593, 2016 | 129 | 2016 |
| Deep Embedded SOM: Joint Representation Learning and Self-Organization F Forest, M Lebbah, H Azzag, J Lacaille ESANN, 131-136, 2019 | 19* | 2019 |
| Deep Architectures for Joint Clustering and Visualization with Self-Organizing Maps F Forest, M Lebbah, H Azzag, J Lacaille PAKDD, Workshop on Learning Data Representations for Clustering (LDRC), 2019 | 16 | 2019 |
| A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data F Forest, J Lacaille, M Lebbah, H Azzag IEEE International Conference on Big Data, 1918-1924, 2018 | 13 | 2018 |
| An Invariance-guided Stability Criterion for Time Series Clustering Validation F Forest, A Mourer, M Lebbah, H Azzag, J Lacaille International Conference on Pattern Recognition (ICPR), 2021 | 10 | 2021 |
| Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering F Forest, M Lebbah, H Azzag, J Lacaille Neural Computing and Applications 33 (24), 17439-17469, 2021 | 8 | 2021 |
| Selecting the Number of Clusters with a Stability Trade-off: an Internal Validation Criterion A Mourer, F Forest, M Lebbah, H Azzag, J Lacaille arXiv preprint arXiv:2006.08530, 2020 | 7 | 2020 |
| A Survey and Implementation of Performance Metrics for Self-Organized Maps F Forest, M Lebbah, H Azzag, J Lacaille arXiv preprint arXiv:2011.05847, 2020 | 6 | 2020 |
| Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models F Forest, Q Cochard, C Noyer, M Joncour, J Lacaille, M Lebbah, H Azzag Annual Conference of the PHM Society, 2020 | 6 | 2020 |
| Unsupervised Learning of Data Representations and Cluster Structures: Applications to Large-scale Health Monitoring of Turbofan Aircraft Engines F Forest Université Sorbonne Paris Nord, 2021 | 3 | 2021 |
| Transformer-based conditional generative adversarial network for multivariate time series generation A Madane, M Dilmi, F Forest, H Azzag, M Lebbah, J Lacaille arXiv preprint arXiv:2210.02089, 2022 | 1 | 2022 |
| Carte SOM profonde: Apprentissage joint de représentations et auto-organisation F Forest, M Lebbah, H Azzag, J Lacaille CAp2020: Conférence d'Apprentissage, 2020 | 1 | 2020 |
| Computing environment system for monitoring aircraft engines JHN Lacaille, FE Forest US Patent App. 17/299,249, 2022 | | 2022 |
| Computer environment system for monitoring aircraft engines J Lacaille, F Forest FR Patent FR3,089,501, 2020 | | 2020 |
| GammaLib R Buehler, F Brun, J Cardenzana, JB Cayrou, C Deil, L Di Venere, ... | | 2020 |
| CTA Contributions to the 34th International Cosmic Ray Conference (ICRC2015) JM Martin, M Giroletti, J Ballet, J Ziemann, E Edy, M Grudzinska, E Moretti, ... | | 2015 |
| CTA Contributions to the 34th International Cosmic Ray Conference (ICRC2015) TCTA Consortium, A Abchiche, U Abeysekara, Ó Abril, F Acero, ... arXiv preprint arXiv:1508.05894, 2015 | | 2015 |
| CTA Contributions to the 34th International Cosmic Ray Conference (ICRC2015) A Abchiche, U Abeysekara, Ó Abril, F Acero, M Actis, G Agnetta, ... | | 2015 |
Jerome LacailleSafran Aircraft EnginesVerified email at safrangroup.com
