Estimation of the proportion of true null hypotheses in high-dimensional data under dependence. - Chloé Friguet; David Causeur (Comput. Stat. Data Anal., 2011)

Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA. - Laetitia Chapel; Chloé Friguet (ECML/PKDD (1), 2014)

Stability of feature selection in classification issues for high-dimensional correlated data. - Émeline Perthame; Chloé Friguet; David Causeur (Stat. Comput., 2016)

Active Learning to Assist Annotation of Aerial Images in Environmental Surveys. - Mathieu Laroze; Romain Dambreville; Chloé Friguet; Ewa Kijak; Sébastien Lefèvre (CBMI, 2018)

Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs. - Luc Courtrai; Minh-Tan Pham; Chloé Friguet; Sébastien Lefèvre (IGARSS, 2020)

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images. - Minh-Tan Pham; Luc Courtrai; Chloé Friguet; Sébastien Lefèvre; Alexandre Baussard (Remote. Sens., 2020)

Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. - François Painblanc; Laetitia Chapel; Nicolas Courty; Chloé Friguet; Charlotte Pelletier; Romain Tavenard (ECML/PKDD (5), 2023)

Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. - Pierre Gloaguen; Laetitia Chapel; Chloé Friguet; Romain Tavenard (Mach. Learn., 2023)