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Florent Forest
Florent Forest
Scientist, EPFL (École Polytechnique Fédérale de Lausanne)
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
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
1412016
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
192019
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
172023
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
172021
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
132020
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
122018
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
102023
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
102020
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
82021
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
62023
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
32021
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
22024
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
12024
Carte SOM profonde: Apprentissage joint de représentations et auto-organisation
F Forest, M Lebbah, H Azzag, J Lacaille
CAp2020: Conférence d'Apprentissage, 2020
12020
Carte SOM profonde: Apprentissage joint de représentations et auto-organisation
F Forest, M Lebbah, H Azzag, J Lacaille
reconstruction 500, 500, 2000
12000
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
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