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Florent Forest
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Books and Theses
- 2021
- [b1]Florent Forest:
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). Sorbonne Paris North University, France, 2021
Journal Articles
- 2024
- [j2]Yunhong Che
, Yusheng Zheng
, Florent Forest
, Xin Sui
, Xiaosong Hu, Remus Teodorescu
:
Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection. Reliab. Eng. Syst. Saf. 241: 109603 (2024) - 2021
- [j1]Florent Forest
, Mustapha Lebbah
, Hanene Azzag, Jérôme Lacaille:
Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Comput. Appl. 33(24): 17439-17469 (2021)
Conference and Workshop Papers
- 2023
- [c5]Alex Mourer, Florent Forest, Mustapha Lebbah
, Hanane Azzag, Jérôme Lacaille:
Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. PAKDD (1) 2023: 210-222 - 2020
- [c4]Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR 2020: 9296-9303 - 2019
- [c3]Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille:
Deep Embedded SOM: joint representation learning and self-organization. ESANN 2019 - [c2]Florent Forest
, Mustapha Lebbah
, Hanane Azzag
, Jérôme Lacaille:
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) 2019: 105-116 - 2018
- [c1]Florent Forest
, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag:
A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data. IEEE BigData 2018: 1918-1924
Informal and Other Publications
- 2024
- [i10]Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink:
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression. CoRR abs/2401.13721 (2024) - [i9]Mariam Hassan, Florent Forest, Olga Fink, Malcolm Mielle:
ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis. CoRR abs/2403.12154 (2024) - [i8]Florent Forest, Katharina Rombach, Olga Fink:
Interpretable Prognostics with Concept Bottleneck Models. CoRR abs/2405.17575 (2024) - [i7]Punnawat Siripathitti, Florent Forest, Olga Fink:
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection. CoRR abs/2406.18586 (2024) - [i6]Yan Hao, Florent Forest, Olga Fink:
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights. CoRR abs/2407.07586 (2024) - 2023
- [i5]Florent Forest, Hugo Porta, Devis Tuia, Olga Fink
:
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring. CoRR abs/2309.11267 (2023) - [i4]Florent Forest, Olga Fink:
Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis. CoRR abs/2312.02826 (2023) - 2022
- [i3]Abdellah Madane, Mohamed Djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille:
Transformer-based conditional generative adversarial network for multivariate time series generation. CoRR abs/2210.02089 (2022) - 2020
- [i2]Alex Mourer, Florent Forest, Mustapha Lebbah
, Hanane Azzag, Jérôme Lacaille:
Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion. CoRR abs/2006.08530 (2020) - [i1]Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR abs/2011.05847 (2020)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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