Florent Forest

According to our database, Florent Forest authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions.

Yunhong Che, Florent Forest, Yusheng Zheng, Le Xu, Remus Teodorescu

IEEE Trans. Ind. Electron., November, 2024

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection.

Yunhong Che, Yusheng Zheng, Florent Forest, Xin Sui, Xiaosong Hu, Remus Teodorescu

Reliab. Eng. Syst. Saf., January, 2024

Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics.

Chenghao Xu, Malcolm Mielle, Antoine Laborde, Ali Waseem, Florent Forest, Olga Fink

CoRR, 2024

Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection.

Punnawat Siripathitti, Florent Forest, Olga Fink

CoRR, 2024

Interpretable Prognostics with Concept Bottleneck Models.

Florent Forest, Katharina Rombach, Olga Fink

CoRR, 2024

ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis.

Mariam Hassan, Florent Forest, Olga Fink, Malcolm Mielle

CoRR, 2024

Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression.

Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink

CoRR, 2024

One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling.

Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille

Proceedings of the International Joint Conference on Neural Networks, 2024

AESim: A Data-Driven Aircraft Engine Simulator.

Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics.

Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-training Strategies and Performance Insights.

Yan Hao, Florent Forest, Olga Fink

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis.

Florent Forest, Olga Fink

CoRR, 2023

From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring.

Florent Forest, Hugo Porta, Devis Tuia, Olga Fink

CoRR, 2023

Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion.

Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Transformer-based conditional generative adversarial network for multivariate time series generation.

Abdellah Madane, Mohamed Djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille

CoRR, 2022

2021

Unsupervised Learning of Data Representations and Cluster Structures: Applications to Large-scale Health Monitoring of Turbofan Aircraft Engines. (Apprentissage non supervisé de représentations de données et structures de partitionnement : applications à la surveillance à grande échelle de turbofans).

Florent Forest

PhD thesis, 2021

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering.

Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille

Neural Comput. Appl., 2021

2020

A Survey and Implementation of Performance Metrics for Self-Organized Maps.

Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

CoRR, 2020

An Invariance-guided Stability Criterion for Time Series Clustering Validation.

Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps.

Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Deep Embedded SOM: joint representation learning and self-organization.

Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data.

Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018