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Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data

Machine learning, 2023-06, Vol.112 (6), p.1975-2001

2023

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A Factor Model Approach to Multiple Testing Under Dependence

Journal of the American Statistical Association, 2009-12, Vol.104 (488), p.1406-1415

2009

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Power evaluation of asymptotic tests for comparing two binomial proportions to detect direct and indirect association in large-scale studies

Statistical methods in medical research, 2017-12, Vol.26 (6), p.2780-2799

2017

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Stability of feature selection in classification issues for high-dimensional correlated data

Statistics and computing, 2016-07, Vol.26 (4), p.783-796

2016

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YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (15), p.2501

2020

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Estimation of the proportion of true null hypotheses in high-dimensional data under dependence

Computational statistics & data analysis, 2011-09, Vol.55 (9), p.2665-2676

2011

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Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment

Machine Learning and Knowledge Discovery in Databases: Research Track, p.341-356

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Factor Analysis for Multiple Testing ( FAMT ): An R Package for Large-Scale Significance Testing under Dependence

Journal of statistical software, 2011, Vol.40 (14)

2011

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Consumer Preferences for Fresh Tomato at the European Scale: A Common Segmentation on Taste and Firmness

Journal of food science, 2010-11, Vol.75 (9), p.S531-S541

2010

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Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020, p.260-263

2020

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Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA

Machine Learning and Knowledge Discovery in Databases, p.227-241

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Control of the FWER in Multiple Testing Under Dependence

Communications in statistics. Theory and methods, 2009-01, Vol.38 (16-17), p.2733-2747

2009

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Factor Analysis for Multiple Testing (FAMT): An R Package for Large-Scale Signi

Journal of statistical software, 2011-05, Vol.40 (14)

2011

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Active Learning to Assist Annotation of Aerial Images in Environmental Surveys

2018 International Conference on Content-Based Multimedia Indexing (CBMI), 2018, p.1-6

2018

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Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data

A Factor Model Approach to Multiple Testing Under Dependence

Power evaluation of asymptotic tests for comparing two binomial proportions to detect direct and indirect association in large-scale studies

Stability of feature selection in classification issues for high-dimensional correlated data

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images

Estimation of the proportion of true null hypotheses in high-dimensional data under dependence

Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment

Factor Analysis for Multiple Testing ( FAMT ): An R Package for Large-Scale Significance Testing under Dependence

Consumer Preferences for Fresh Tomato at the European Scale: A Common Segmentation on Taste and Firmness

Small Object Detection from Remote Sensing Images with the Help of Object-Focused Super-Resolution Using Wasserstein GANs

Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA

Control of the FWER in Multiple Testing Under Dependence

Factor Analysis for Multiple Testing (FAMT): An R Package for Large-Scale Signi

Active Learning to Assist Annotation of Aerial Images in Environmental Surveys

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