Chloé Friguet

Associate professor in Statistics (CNU26), IUT Sciences des Données (ex STID), IRISA-OBELIX, Université Bretagne Sud, Vannes

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Open access

Documents

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Research domains

Statistics [stat] Applications [stat.AP] Methodology [stat.ME] Machine Learning [stat.ML]

Publications

	Red and brown seaweeds differently inhibit colonization by epiphytic bacteria Charlotte Marteau , Chloé Friguet , Alexis Bazire , Pierre Sauleau Cahiers de Biologie Marine, 2023, 64 (4), pp.15-323. ⟨10.21411/CBM.A.BF52BFDC⟩ Journal articles hal-04329391v1
	Scalable clustering of segmented trajectories within a continuous time framework. Application to maritime traffic data Pierre Gloaguen , Laetitia Chapel , Chloé Friguet , Romain Tavenard Machine Learning, 2021, Special Issue on Machine Learning for Earth Observation Data, 112 (6), pp.1975-2001. ⟨10.1007/s10994-021-06004-8⟩ Journal articles hal-02617575v3
	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 Sensing, 2020, 12 (15), pp.2501. ⟨10.3390/rs12152501⟩ Journal articles hal-03213815v1
	Les forêts aléatoires avec R de Robin GENUER et Jean-Michel POGGI (2019) Chloé Friguet Statistique et Société, 2020, 7 (2), pp.71-73 Journal articles hal-02538276v1
	A Mutual Information-based method to select informative pairs of variables in case-control genetic association studies to improve the power of detecting interaction between genetic variants Mathieu Emily , Chloé Friguet Journal de la Société Française de Statistique, 2018, 152 (2), pp.84-110 Journal articles hal-01880547v1
	Power evaluation of asymptotic tests for comparing two binomial proportions to detect direct and indirect association in large-scale studies Mathieu Emily , Chloé Friguet Statistical Methods in Medical Research, 2017, 26 (6), pp.2780-2799. ⟨10.1177/0962280215608528⟩ Journal articles hal-01256507v1
	Stability of feature selection in classification issues for high-dimensional correlated data Emeline Perthame , Chloé Friguet , David Causeur Statistics and Computing, 2016, 26 (4), pp.783-796. ⟨10.1007/s11222-015-9569-2⟩ Journal articles hal-01256508v1
	A general approach to account for dependence in large-scale multiple testing Chloé Friguet Journal de la Société Française de Statistique, 2012, 153 (2), pp.100-122 Journal articles hal-00811896v1
	A general approach to account for dependence in large-scale multiple testing Chloé Friguet Journal de la Société Française de Statistique, 2012, 153 (2), pp.100-122 Journal articles hal-00880140v1
	Factor Analysis for Multiple Testing (FAMT): An R Package for Large-Scale Significance Testing under Dependence David Causeur , Chloé Friguet , Magali Houee-Bigot , Maela Kloareg Journal of Statistical Software, 2011, 40 (14), pp.19 Journal articles hal-00730155v1
	Estimation of the proportion of true null hypotheses in high-dimensional data under dependence Chloé Friguet , David Causeur Computational Statistics and Data Analysis, 2011, 55 (9), pp.2665-2676. ⟨10.1016/j.csda.2011.03.016⟩ Journal articles hal-00609085v1
	Consumer Preferences for Fresh Tomato at the European Scale: A Common Segmentation on Taste and Firmness Mathilde M. Causse , Chloé Friguet , Clément Coiret , Mélanie Lépicier , Brigitte Navez Journal of Food Science, 2010, 75 (9), pp.S531-S541. ⟨10.1111/j.1750-3841.2010.01841.x⟩ Journal articles hal-00910339v1
	A factor model approach to multiple testing under dependence Chloé Friguet , Maela Kloareg , David Causeur Journal of the American Statistical Association, 2009, 104 (488), pp.1406-1415. ⟨10.1198/jasa.2009.tm08332⟩ Journal articles hal-00458049v1
	Control of the FWER in multiple testing under dependence David Causeur , Maela Kloareg , Chloé Friguet Communications in Statistics - Theory and Methods, 2009, 38 (16 et 17), pp.2733 - 2747. ⟨10.1080/03610910902936281⟩ Journal articles hal-00458161v1

	Collecter et cartographier les données du bilan carbone d'un congrès Chloé Friguet , François Husson Rencontres R 2024, Université Bretagne Sud, Jun 2024, Vannes (Bretagne), France Conference papers hal-04624860v1
	Domain Adaptation of Time Series through Optimal Transport and Temporal Alignment François Painblanc , Laëtitia Chapel , Nicolas Courty , Chloé Friguet , Charlotte Pelletier 55ièmes Journées de Statistique, SFdS, May 2024, Bordeaux, France Conference papers hal-04644862v1
	Optimal transport for data integration Valérie Garès , Chloé Friguet , Nicolas Courty 54ème journées de la Société Française de Statistique, SFdS, Jul 2023, Bruxelles (BE), Belgium Conference papers hal-04329516v1
	Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment François Painblanc , Laetitia Chapel , Nicolas Courty , Chloé Friguet , Charlotte Pelletier ECML PKDD 2023, Sep 2023, Torino, Italy. pp.341-356, ⟨10.1007/978-3-031-43424-2_21⟩ Conference papers hal-04189149v1
	MAD: Match-And-Deform for Time Series Domain Adaptation François Painblanc , Laetitia Chapel , Nicolas Courty , Chloé Friguet , Charlotte Pelletier Conférence sur l'Apprentissage automatique (CAp), Jul 2022, Vannes, France Conference papers hal-03932463v1
	Approche par compétences en statistique dans l’enseignement supérieur Chloé Friguet , Yann Mercier , Charlaine Gardan , Caroline Bazzoli , Cédric Frambourg Colloque Francophone International sur l’Enseignement de la Statistique, Société Francaise de la Statistique, Nov 2022, Rennes - Université Rennes 2, France Conference papers hal-04050878v1
	JDCOT : an Algorithm for Transfer Learning in Incomparable Domains using Optimal Transport Marion Jeamart , Renan Bernard , Nicolas Courty , Chloé Friguet , Valérie Garès 53èmes Journées de Statistique, Société Française de Statistique (SFdS), Jun 2022, Lyon, France Conference papers hal-03932545v1
	Data annotation with active learning: application to environmental surveys Chloé Friguet , Romain Dambreville , Ewa Kijak , Mathieu Laroze , Sébastien Lefèvre JDS 2020 - 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), May 2020, Nice, France. pp.1-6 Conference papers hal-03445740v1
	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 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.260-263, ⟨10.1109/IGARSS39084.2020.9323236⟩ Conference papers hal-03213876v1
	Extraction non supervisée de descripteurs pour des suivis environnementaux aériens Mathieu Laroze , Romain Dambreville , Chloé Friguet , Sébastien Lefèvre , Devis Tuia Journées francophones des jeunes chercheurs en vision par ordinateur (ORASIS), May 2019, St-Dié-Des-Vosges, France Conference papers hal-02343937v1
	Active Learning to Assist Annotation of Aerial Images in Environmental Surveys Mathieu Laroze , Romain Dambreville , Chloé Friguet , Ewa Kijak , Sébastien Lefèvre CBMI 2018 - 16th International Conference on Content-Based Multimedia Indexing, Sep 2018, La Rochelle, France. pp.1-6 Conference papers hal-01845487v1
	Apprentissage actif pour l'annotation d'images aériennes appliqué aux suivis environnementaux Mathieu Laroze , Romain Dambreville , Chloé Friguet , Ewa Kijak , Sébastien Lefèvre RFIAP 2018 - Reconnaissance des Formes, Image, Apprentissage et Perception, Jun 2018, Marne-la-Vallée, France. pp.1-3 Conference papers hal-01828591v1
	Next step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS \& Sentinel Satellite Data Streams Ronan Fablet , Nicolas Bellec , Laetitia Chapel , Chloe Friguet , René Garello BiDS 2017 : Big Data from Space Conference, Nov 2017, Toulouse, France Conference papers hal-01756071v1
	Un test statistique pour la détection d'anomalies basé sur l'erreur de reconstruction de l'ACP à noyau Chloé Friguet , Laetitia Chapel 48ème journées de Statistique, SFdS, May 2016, Montpellier, France Conference papers hal-01436045v1
	Variable selection for correlated data in high dimension using decorrelation methods Emeline Perthame , David Causeur , Ching-Fan Sheu , Chloé Friguet Statlearn: Challenging problems in statistical learning, Apr 2016, Vannes, France Conference papers hal-01310571v1
	A statistical test for anomaly detection using the reconstruction error of the Kernel PCA Chloé Friguet , Laetitia Chapel Computational and Methodological Statistics (CMstatistics), ERCIM work group, Dec 2015, Londres, United Kingdom Conference papers hal-01256506v1
	FADA: an R package for variable selection in supervised classiﬁcation of strongly dependent data Emeline Perthame , Chloé Friguet , David Causeur useR!2014, UCLA Statistics Department; Foundation for Open Access Statistics; Los Angels R user group, Jun 2014, Los Angeles, United States Conference papers hal-01167304v1
	Anomaly detection with score functions based on the reconstruction error of the kernel PCA Laetitia Chapel , Chloé Friguet European Conference on Machine Learning (ECML PKDD), Sep 2014, Nancy, France. pp.227-241 Conference papers hal-01061866v1
	Étude de puissance pour la détection d'association directe et indirecte à partir de tables de contingence 2 × 2 Mathieu Emily , Chloé Friguet 46 èmes Journées de Statistique, Société Française de Statistique, Jun 2014, Rennes, France Conference papers hal-01090393v1
	Stability of model selection for high-dimensional data Emeline Perthame , Chloé Friguet Statistical Methods for (post)-Genomics Data (SMPGD2013), Jan 2013, Amsterdam, Netherlands Conference papers hal-00913709v1
	Sélection de marqueurs pour la détection d'interactions de gènes Chloé Friguet , Mathieu Emily 45èmes Journées de Statistique, May 2013, Toulouse, France. pp.178 Conference papers hal-00913031v1
	Biological marker selection for detecting gene-gene interaction in genome-wide association studies Mathieu Emily , Chloé Friguet ERCIM2013, Dec 2013, London, France. pp.E1053 Conference papers hal-00913039v1
	Stabilité de la sélection de variables pour la classification de données en grande dimension Emeline Perthame , Chloé Friguet , David Causeur 45 èmes Journées de Statistique, May 2013, Toulouse, France Conference papers hal-00913047v1
	Inferring gene networks using a sparse factor model approach Anne Blum , Magalie Houee , Chloé Friguet , Sandrine Lagarrigue , David Causeur Statistical learning and data science, May 2012, Florence, Italy. 12 p Conference papers hal-02806777v1
	Genetic analysis of a complex trait using transcriptomic data: contribution of gene regulatory network modeling Yuna Blum , Magalie Houée , Chloé Friguet , Sandrine Lagarrigue , David Causeur XX. Conference of the plant & animal genome (PAG), Jan 2012, San Diego, United States. 1 p Conference papers hal-00841103v1
	Étude sur 297 offres d'emploi parvenues au département STID de Vannes du 1er septembre 2010 au 31 août 2011 Chloé Friguet , Jean-François Petiot Troisième colloque francophone international sur l'enseignement de la statistique (CFIES2012), Sep 2012, Angers, France Conference papers hal-00913702v1
	Inferring gene networks using a sparse factor model approach, Statistical Learning and Data Science Yuna Blum , Magali Houée , Chloé Friguet , Sandrine Lagarrigue , David Causeur Learning and Data Science, May 2012, Florence (IT), Italy Conference papers hal-00841017v1
	Large-scale significance testing of high thoroughput Data with FAMT Magalie Houée-Bigot , Chloé Friguet , Sandrine Lagarrigue , Anne Blum , David Causeur 14. Conference of the Applied Stochastic Models and Data Analysis International Society, Jun 2011, Rome, Italy Conference papers hal-02746752v1
	Inférence sur réseaux géniques par Analyse en Facteurs Yuna Blum , Chloé Friguet , Sandrine Lagarrigue , David Causeur 42èmes Journées de Statistique, 2010, Marseille, France, France Conference papers inria-00494802v1
	Estimation of the proportion of null p-values among dependent tests Chloé Friguet , David Causeur Petersburg Workshop on Simulation, Jun 2009, St Petersburg, Russia Conference papers hal-00461648v1
	Factor Analysis for Multiple Testing (FAMT) : an R package for simultaneous tests under dependence in high-dimensional data Maela Kloareg , Chloé Friguet , David Causeur UseR!2009. Agrocampus, Jul 2009, Rennes, France Conference papers hal-00461700v1
	Estimation conditionnelle de la proportion d'hypotheses nulles en grande dimension Chloé Friguet , David Causeur 41èmes Journées de Statistiques, Société Française de Statistiques, May 2009, Bordeaux, France Conference papers hal-00461645v1
	Factor Analysis for Multiple Testing: an R-package to analyze a genome-scale dataset Maela Kloareg , Chloé Friguet , David Causeur Workshop « Statistical advances in Genome-scale Data Analysis », May 2009, Ascona, Switzerland Conference papers hal-00459370v1
	Conditional Fdr estimation based on a factor analytic approach of multiple testing David Causeur , Chloé Friguet Workshop on Simulation, Jun 2009, St Petersburg, Russia Conference papers hal-00461697v1
	Factor Analysis for Multiple Testing: a general approach for differential analysis of genome-scale dependent data Chloé Friguet , Maela Kloareg , David Causeur Workshop on Statistical advances in Genome-scale Data Analysis, May 2009, Ascona, Switzerland Conference papers hal-00461632v1
	Estimation conditionnelle de la proportion d'hypothèses nulles en grande dimension Chloé Friguet , David Causeur 41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France Conference papers inria-00386591v1
	Accounting for a factor structure in high-dimensional data to improve multiple testing procedures Chloé Friguet , David Causeur 6th workshop on Statistical Methods for Post-Genomic Data. Agrocampus, Feb 2008, Rennes, France Conference papers hal-00461702v1
	Multiple tests for high-throughput data assuming a factor modeling of dependence Chloé Friguet , David Causeur 40th Journées de Statistiques (Société Française de Statistiques) / joint with Société Statistique, May 2008, Ottawa, Canada Conference papers hal-00461705v1
	Approche conditionnelle des tests multiples pour données biologiques à haut-débit Chloé Friguet , David Causeur 7ème Journée Jeunes Chercheurs (Société Française de Biométrie). INSERM, Dec 2008, Villejuif, France Conference papers hal-00461708v1
	Impact of Dependence on the Stability of Model Selection in Supervised Classification for High-Throughput Data David Causeur , Maela Kloareg , Chloé Friguet International Indian Statistical Association (IISA) Conference on Frontiers of Probability and Statistical Science, May 2008, Storrs, United States Conference papers hal-00461704v1

	Active detection for aerial survey Mathieu Laroze , Romain Dambreville , Chloé Friguet , Ewa Kijak , Sébastien Lefèvre Statlearn'17, Apr 2017, Lyon, France Conference poster hal-02639924v1
	Next Step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS & Sentinel Satellite Data Streams Ronan Fablet , Nicolas Bellec , Laetitia Chapel , Chloé Friguet , René Garello BiDS' 2017 - Conference on Big Data from Space, Nov 2017, Toulouse, France. pp.1-4 Conference poster hal-01671323v1

	Observation de la mer par apprentissage profond : quelques exemples d’applications pour protéger notre bien commun Sébastien Lefèvre , Luc Courtrai , Minh-Tan Pham , Chloé Friguet , Jean-Christophe Burnel Mer et Littoral: un bien commun ? Une approche pluridisciplinaire. Actes du Séminaire International de l'Institut Archipel. Université Bretagne Sud, 17-19 juin 2019., pp.215-224, 2021, 978-2-9573619-1-5 Book sections hal-03379496v1

	Impact de la dépendance dans les procédures de tests multiples en grande dimension Chloé Friguet Mathématiques [math]. Agrocampus - Ecole nationale supérieure d'agronomie de rennes, 2010. Français. ⟨NNT : ⟩ Theses tel-00539741v2

	Table ronde : “pourquoi et comment enseigner l’analyse de données massives (big data)” Chloé Friguet , Frédérique Letué , Vincent Vandewalle 47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France Documents associated with scientific events hal-01250812v1

Chloé Friguet

Research domains

Publications

Red and brown seaweeds differently inhibit colonization by epiphytic bacteria

Scalable clustering of segmented trajectories within a continuous time framework. Application to maritime traffic data

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

Les forêts aléatoires avec R de Robin GENUER et Jean-Michel POGGI (2019)

A Mutual Information-based method to select informative pairs of variables in case-control genetic association studies to improve the power of detecting interaction between genetic variants

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

A general approach to account for dependence in large-scale multiple testing

A general approach to account for dependence in large-scale multiple testing

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

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

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

A factor model approach to multiple testing under dependence

Control of the FWER in multiple testing under dependence

Collecter et cartographier les données du bilan carbone d'un congrès

Domain Adaptation of Time Series through Optimal Transport and Temporal Alignment

Optimal transport for data integration

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

MAD: Match-And-Deform for Time Series Domain Adaptation

Approche par compétences en statistique dans l’enseignement supérieur

JDCOT : an Algorithm for Transfer Learning in Incomparable Domains using Optimal Transport

Data annotation with active learning: application to environmental surveys

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

Extraction non supervisée de descripteurs pour des suivis environnementaux aériens

Active Learning to Assist Annotation of Aerial Images in Environmental Surveys

Apprentissage actif pour l'annotation d'images aériennes appliqué aux suivis environnementaux

Next step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS \& Sentinel Satellite Data Streams

Un test statistique pour la détection d'anomalies basé sur l'erreur de reconstruction de l'ACP à noyau

Variable selection for correlated data in high dimension using decorrelation methods

A statistical test for anomaly detection using the reconstruction error of the Kernel PCA

FADA: an R package for variable selection in supervised classiﬁcation of strongly dependent data

Anomaly detection with score functions based on the reconstruction error of the kernel PCA

Étude de puissance pour la détection d'association directe et indirecte à partir de tables de contingence 2 × 2

Stability of model selection for high-dimensional data

Sélection de marqueurs pour la détection d'interactions de gènes

Biological marker selection for detecting gene-gene interaction in genome-wide association studies

Stabilité de la sélection de variables pour la classification de données en grande dimension

Inferring gene networks using a sparse factor model approach

Genetic analysis of a complex trait using transcriptomic data: contribution of gene regulatory network modeling

Étude sur 297 offres d'emploi parvenues au département STID de Vannes du 1er septembre 2010 au 31 août 2011

Inferring gene networks using a sparse factor model approach, Statistical Learning and Data Science

Large-scale significance testing of high thoroughput Data with FAMT

Inférence sur réseaux géniques par Analyse en Facteurs

Estimation of the proportion of null p-values among dependent tests

Factor Analysis for Multiple Testing (FAMT) : an R package for simultaneous tests under dependence in high-dimensional data

Estimation conditionnelle de la proportion d'hypotheses nulles en grande dimension

Factor Analysis for Multiple Testing: an R-package to analyze a genome-scale dataset

Conditional Fdr estimation based on a factor analytic approach of multiple testing

Factor Analysis for Multiple Testing: a general approach for differential analysis of genome-scale dependent data

Estimation conditionnelle de la proportion d'hypothèses nulles en grande dimension

Accounting for a factor structure in high-dimensional data to improve multiple testing procedures

Multiple tests for high-throughput data assuming a factor modeling of dependence

Approche conditionnelle des tests multiples pour données biologiques à haut-débit

Impact of Dependence on the Stability of Model Selection in Supervised Classification for High-Throughput Data

Active detection for aerial survey

Next Step for Big Data Infrastructure and Analytics for the Surveillance of the Maritime Traffic from AIS & Sentinel Satellite Data Streams

Observation de la mer par apprentissage profond : quelques exemples d’applications pour protéger notre bien commun

Impact de la dépendance dans les procédures de tests multiples en grande dimension

Table ronde : “pourquoi et comment enseigner l’analyse de données massives (big data)”