| 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 | 141 | 2016 |
| Deep Embedded SOM: Joint Representation Learning and Self-Organization F Forest, M Lebbah, H Azzag, J Lacaille ESANN, 131-136, 2019 | 21* | 2019 |
| Deep Architectures for Joint Clustering and Visualization with Self-Organizing Maps F Forest, M Lebbah, H Azzag, J Lacaille Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD …, 2019 | 19 | 2019 |
| Predictive Health Assessment for Lithium-ion Batteries with Probabilistic Degradation Prediction and Accelerating Aging Detection Y Che, Y Zheng, F Forest, X Sui, X Hu, R Teodorescu Reliability Engineering & System Safety, 109603, 2023 | 18 | 2023 |
| 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 | 17 | 2021 |
| 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 | 13 | 2020 |
| 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 | 12 | 2018 |
| Selecting the Number of Clusters with a Stability Trade-off: an Internal Validation Criterion A Mourer, F Forest, M Lebbah, H Azzag, J Lacaille Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 210-222, 2023 | 10 | 2023 |
| 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 | 10 | 2020 |
| 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 | 8 | 2021 |
| Transformer-based conditional generative adversarial network for multivariate time series generation A Madane, M Dilmi, F Forest, H Azzag, M Lebbah, J Lacaille Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD …, 2023 | 6 | 2023 |
| Unsupervised Learning of Data Representations and Cluster Structures: Applications to Large-scale Health Monitoring of Turbofan Aircraft Engines F Forest Université Paris-Nord-Paris XIII, 2021 | 3 | 2021 |
| Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions Y Che, F Forest, Y Zheng, L Xu, R Teodorescu IEEE Transactions on Industrial Electronics, 2024 | 2 | 2024 |
| From classification to segmentation with explainable AI: A study on crack detection and growth monitoring F Forest, H Porta, D Tuia, O Fink Automation in Construction 165, 105497, 2024 | 1 | 2024 |
| 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 |
| Carte SOM profonde: Apprentissage joint de représentations et auto-organisation F Forest, M Lebbah, H Azzag, J Lacaille reconstruction 500, 500, 2000 | 1 | 2000 |
| AESim: A data-driven Aircraft Engine Simulator A Madane, F Forest, H Azzag, M Lebbah, J Lacaille International Joint Conference on Artificial Intelligence (IJCAI), 2024 | | 2024 |
| Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights Y Hao, F Forest, O Fink ECCV 2024, 2024 | | 2024 |
| Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection P Siripathitti, F Forest, O Fink 34th European Safety and Reliability Conference (ESREL 2024), 2024 | | 2024 |
| Interpretable Prognostics with Concept Bottleneck Models F Forest, K Rombach, O Fink arXiv preprint arXiv:2405.17575, 2024 | | 2024 |
Jerome LacailleSafran Aircraft EnginesVerified email at safrangroup.com
