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2020 – today
- 2023
[j4]Pierre Gloaguen
, Laetitia Chapel, Chloé Friguet, Romain Tavenard:
Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Mach. Learn. 112(6): 1975-2001 (2023)- [c4]François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) 2023: 341-356 - [i1]François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard:
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR abs/2308.12686 (2023) - 2020
- [j3]Minh-Tan Pham, Luc Courtrai, Chloé Friguet, Sébastien Lefèvre, Alexandre Baussard:
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. Remote. Sens. 12(15): 2501 (2020) - [c3]Luc Courtrai, Minh-Tan Pham, Chloé Friguet, Sébastien Lefèvre:
Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs. IGARSS 2020: 260-263
2010 – 2019
- 2018
- [c2]Mathieu Laroze, Romain Dambreville, Chloé Friguet, Ewa Kijak, Sébastien Lefèvre:
Active Learning to Assist Annotation of Aerial Images in Environmental Surveys. CBMI 2018: 1-6 - 2016
- [j2]Émeline Perthame, Chloé Friguet, David Causeur:
Stability of feature selection in classification issues for high-dimensional correlated data. Stat. Comput. 26(4): 783-796 (2016) - 2014
- [c1]Laetitia Chapel, Chloé Friguet:
Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA. ECML/PKDD (1) 2014: 227-241 - 2011
- [j1]Chloé Friguet, David Causeur:
Estimation of the proportion of true null hypotheses in high-dimensional data under dependence. Comput. Stat. Data Anal. 55(9): 2665-2676 (2011)
Coauthor Index
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