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 | 137 | 2016 |
Deep Embedded SOM: Joint Representation Learning and Self-Organization F Forest, M Lebbah, H Azzag, J Lacaille ESANN, 131-136, 2019 | 20* | 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 | 18 | 2019 |
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 | 16 | 2021 |
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 |
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 | 10 | 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 | 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 | 9 | 2021 |
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 | 5 | 2023 |
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 | 4 | 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 | 4 | 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 | 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 |
ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis M Hassan, F Forest, O Fink, M Mielle arXiv preprint arXiv:2403.12154, 2024 | | 2024 |
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression I Nejjar, G Frusque, F Forest, O Fink arXiv preprint arXiv:2401.13721, 2024 | | 2024 |
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis F Forest, O Fink arXiv preprint arXiv:2312.02826, 2023 | | 2023 |
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring F Forest, H Porta, D Tuia, O Fink arXiv preprint arXiv:2309.11267, 2023 | | 2023 |
Calibrated Self-Training for Cross-Domain Bearing Fault Diagnosis F Forest, O Fink 33rd European Safety and Reliability Conference (ESREL 2023), 2023 | | 2023 |
Segmenting without Annotating: Crack Segmentation and Monitoring via Post-hoc Classifier Explanations F Forest, H Porta, D Tuia, O Fink 33rd European Safety and Reliability Conference (ESREL 2023), 2023 | | 2023 |