Myriam Maumy
Publications
Publications
Feature Aggregation for Efficient Continual Learning of Complex Facial ExpressionsKhadija Slimani, Vinay Aseri, Samira Khoulji. Emotion and Facial Recognition in Artificial Intelligence: Sustainable Multidisciplinary Perspectives and Applications, Springer, pp.133-155, 2026, 978-3-032-14778-3. ⟨10.1007/978-3-032-14778-3_7⟩ |
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Une histoire lacunaireDonnées manquantes, Editions Technip, pp.1-27, 2022, 978-2-7108-1195-4 |
Les réseaux bayésiens en pratiqueF. Bertrand; G. Saporta; C. Thomas-Agnan. Statistique et Causalité, Technip, 2021 |
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Causalité et apprentissage automatiqueJournées d'Étude en Statistique 2018, A paraître |
Cascade of Ordinal Classification and Local Regression for Audio-Based Affect EstimationArtificial Neural Networks in Pattern Recognition, 11081, Springer International Publishing, pp.268-280, 2018, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-99978-4_21⟩ |
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Regression tree for bandits models in A/B testingThe Sixteenth International Symposium on Intelligent Data Analysis (IDA 2017), 2017 |
A New Bootstrap-Based Stopping Criterion in PLS Components ConstructionPLS 2014: The Multiple Facets of Partial Least Squares and Related Methods, pp.239-250, 2016, ⟨10.1007/978-3-319-40643-5_18⟩ |
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La méthodologie de Morgoat : Enquête tourisme en BretagneMéthodes d'enquêtes et sondages Pratiques européenne et nord-américaine, Dunod, pp.393-398, 2006 |
La méthodologie de MORGOAT : Enquête tourisme en BretagneMéthodes d'enquêtes et sondages. Pratiques européenne et nord-américaine, Dunod, pp.393-398, 2006, Sciences Sup |
Confidence interval determination using discrete event simulations for real estate sales caseApplications of Mathematics in Engineering and Economics (AMEE’23), Jun 2023, Sozopol, France. AIP Conference Proceedings, 3182 (1), AIP, pp.100008, 2025, ⟨10.1063/5.0246026⟩ |
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Sensitivity analysis of stochastic simulator in the case of sales date prediction49th International Conference "Applications of Mathematics in Engineering and Economics (AMEE’23)", Jun 2023, Sozopol, France. AIP Conference Proceedings, 3182 (1), AIP, pp.100001, 2025, ⟨10.1063/5.0246024⟩ |
Sensitivity analysis of stochastic simulator in the case of sales date prediction49th International Conference "Applications of Mathematics in Engineering and Economics", The Faculty of Applied Mathematics and Informatics (FAMI) at the Technical University of Sofia, Jun 2023, Sofia, Bulgaria. pp.100001, ⟨10.1063/5.0246024⟩ |
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Global Sensitivity Analysis in Several Random Settings2024 Joint Statistical Meetings, American Statistical Association, Aug 2024, Portland (OR), United States |
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Time Series Clustering for Enhanced Dynamic Allocation in A/B TestingECML PKDD 2024, Sep 2024, Vilinus, Lithuania |
Sobol4RV: Global Sensitivity Analysis in Several Random SettingsBioC 2024, BioConductor, Jul 2024, Grand Rapids, MI, United States |
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An Improvement for Variable Selection in GAMLSS Models and Quantile RegressionJoint Statistical Meetings 2024, American Statistical Association, Aug 2024, Portland (OR), United States |
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Extension of sensitivity analysis to uncertainties in distribution parameters32nd Conference on Intelligent Systems for Molecular Biology, International Society for Computational Biology, Jul 2024, Montreal (QC), Canada |
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Using the MBPCA-OS method on French real estate data to detect the relations between price and Energy and Climate Performance labelsTechnological Systems, Sustainability and Safety, Feb 2024, Paris, France |
PLS models and their extensions for big dataJoint Statistical Meetings 2023, American Statistical Association, Aug 2023, Toronto (ON), Canada |
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SelectBoost4Beta : Improving variable selection in beta regression modelsBioC2023 Annual Conference, Bioconductor, Aug 2023, Boston (Ma), United States |
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Improving Variable Selection in Beta Regression Models using Correlated ResamplingJoint Statistical Meetings 2023, American Statistical Association, Aug 2023, Toronto (ON), Canada |
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bigPLS : Fitting and Cross-validating PLS based Cox models to censored big dataBioC2023 Annual Conference, Bioconductor, Aug 2023, Boston (MA), United States |
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A New Algorithm for Reverse-Engineering Patterned Heterogenous Networks2021 SIAM Annual Meeting (AN21), Jul 2021, Virtuel, United States |
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Using monotone spline smoothing to combine label-free and label-based accurate quantifications with DIA-MS: application to bovine muscle samplese-Chimiométrie 2021, Feb 2021, Virtuel, France |
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Utilisation de la science des données pour analyser des bases de données d’un observatoire du vignoble françaisConférence Internationale Francophone sur la Science des Données (CIFSD) 9e édition, Jun 2021, Marseille, France. p161-172 |
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Bayesian Networks for Acute Toxicity Modeling in the Case of Radiotherapy Treatment of Breast CancerSHeIC 2021 Smart Healthcare International Conference, Dec 2021, Troyes, France |
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The Select Boost Algorithm Improves Variable Selection in Linear Models2021 SIAM Annual Meeting (AN21), Jul 2021, Virtuel, United States |
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Partial Least Squares Regression for Beta Regression ModelsuseR! 2021, Jul 2021, Zurich (virtuel), Switzerland |
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Modèle de régression par spline monotone pour données de protéomique quantitativeJournées de Statistique 2021, Jun 2021, Virtuel, France |
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Network Reverse Engineering with Approximate Bayesian ComputationuseR! 2021, Jul 2021, Zurich (virtuel), Switzerland |
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Introduction to Process Mining for the Improvement of Patient’s JourneysSHeIC 2021 Smart Healthcare International Conference, Dec 2021, Troyes, France |
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Improving Variable Selection in Linear Models Using the Select Boost Algorithm2021 Joint Statistical Meetings, American Statistical Association, Aug 2021, Virtuel, United States |
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Influence of Missing Data on Determining the Number of Components for a PLS Regression on MCAR and MAR mechanismData Science Summer School DS3 2021, Jan 2021, Palaiseau, France |
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Prévision de la consommation d’électricité à l’échelle individuelle dans les secteurs résidentiel et tertiaireConférence Internationale Francophone sur la Science des Données (CIFSD) 9e édition, Jun 2021, Marseille, France. p187-199 |
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A New Algorithm to Decipher Patterned Heterogenous Networks2021 Joint Statistical Meetings, American Statistical Association, Aug 2021, Virtuel, United States |
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networkABC : Network Reverse Engineering with Approximate Bayesian ComputationUser! 2020, Jul 2020, Saint Louis (cancelled), United States |
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Deciphering Biological Networks with Patterned Heterogeneous (multiOmics) MeasurementsUser! 2020, Jul 2020, Saint Louis (cancelled), United States |
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Selectboost: Enhance the Performance of Variable Selection in Correlated DatasetsUser! 2020, Jul 2020, Saint Louis (cancelled), United States |
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Intégration des séries temporelles dans les A/B-TestsExtraction et Gestion des Connaissances 2020, Jan 2020, Brussels, Belgique |
Position fœtale et système vestibulaire : un modèle explicatif des troubles de la coordination et des apprentissages15èmes journées du Groupe de Réflexion en Psychopathologie Cognitive (GREPACO). Reims Champagne-Ardenne, France, Jun 2019, Reims, France |
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Système de recommandation : algorithmes et application à la plateforme KeeSeeKLes 51es Journées de Statistique, Jun 2019, Nancy, France |
Missing data and variational auto-encoders: a case studyData Science Summer School 2019, Jun 2019, Palaiseau, France |
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Gestion des logs dans les problèmes de Bandits ContextuelsLes 51es Journées de Statistique, Jun 2019, Nancy, France |
Prévision de la consommation d'électricité à l'échelle des ménages51èmes Journées de Statistique de la SFDS, Jun 2019, Nancy, France |
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Center of Modeling and Simulation of StrasbourgInternational Congress on Industrial and Applied Mathematics, Jul 2019, Valence, Spain |
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Energy consumption analysisInternational Congress on Industrial and Applied Mathematics, Jul 2019, Valence, Spain |
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PEPS DataFlow : Analyse de données pour des capteurs fluidiques à haute précision9e Biennale Française des Mathématiques Appliquées et Industrielles, SMAI 2019, May 2019, Guidel Plages, France |
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Influence of Missing Data on Determining the Number of Components for a PLS Regression on MCAR and MAR mechanismThe 19th Annual Conference of the European Network for Business and Industrial Statistics, Sep 2019, Budapest, Hungary |
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The Performance of Different Algorithms to Determine the Number of Components for a PLS Regression on MCAR and MAR mechanismStatlearn 2019, Apr 2019, Grenoble, France |
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Prédiction à court terme de la consommation d’énergie d’un ménageINFORSID 2018, May 2018, Nantes, France |
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A Comparison of Determining the Number of Components of a PLS Regression for MAR Mechanism18th Annual Conference of the European Network for Business and Industrial Statistics, Sep 2018, Nancy, France |
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Choosing the Number of Components for PLSGR Models : Influence of Missing ValuesSIAM AN 2018, Jul 2018, Portland, United States |
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Determining the number of components of a PLS regression on incomplete data23rd International Conference on Computational Statistics, Aug 2018, Iasi, Romania |
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Robustifying Partial Least Square Generalized Linear RegressionSIAM AN 2018, Jul 2018, Portland, United States |
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Robust algorithms for partial least squares generalized linear regressionJoint Statistical Meetings 2018, Jul 2018, Vancouver, Canada |
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A Comparison of Determining the Number of Components of a PLS Regression with MCAR mechanism10ème Assises France-Indonesia (The Joint Working Group (JWG) for Cooperation in Higher Education, Research and Innovation), Jun 2018, Poitiers, France |
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Approche contextuelle par régression pour les tests A/BExtraction et Gestion des Connaissances (EGC) 2018, Jan 2018, Paris, France |
Number of components for Partial Least Squares generalized linear models with missing dataJoint Statistical Meetings 2018, Jul 2018, Vancouver, Canada |
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Conception d'un modèle généraliste pour l'évaluation d'un test A/B17ème Journées Francophones Extraction et Gestion des Connaissances, Jan 2017, Grenoble, France |
Influence of Missing Data on the Estimation of the Number of Components of a PLS Regression17th Applied Stochastic Models and Data Analysis International Conference, Jun 2017, Londres, United Kingdom |
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GPU-based Approximate Bayesian Computation algorithms for network reverse-engineeringSIAM AN 2017, Jul 2017, Pittsburgh, United States |
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Bootstrapping and Cross-Validating Generalized PLS regressions using GPUSIAM AN 2017, Jul 2017, Pittsburgh, United States |
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Bootstrapping and Cross-Validating Generalized PLS regressions using GPUBioC 2017: Where Software and Biology Connect, Jul 2017, Boston, United States |
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GPU-based Approximate Bayesian Computation algorithms for network reverse-engineeringJoint Statistical Meeting 2017, Jul 2017, Baltimore, France |
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Matching for the Non-Conventional Mhc-I Mica Gene Significantly Reduces the Incidence of Acute and Chronic Gvhd31st European Immunogenetics and Histocompatibility Conference (EFI) 25th Annual Meeting of the German Society for Immunogenetics (DGI) 30 mai - 2 juin 2017, Mannheim / Heidelberg, Germany, 2017, Mannheim, Germany. pp.350-351, ⟨10.1111/tan.13034⟩ |
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Approche paramétrique de bandits pour le test A/BConférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle, Jul 2017, Caen, France |
GPU-based Approximate Bayesian Computation algorithms for network reverse-engineeringBioC 2017: Where Software and Biology Connect, Jul 2017, Boston, United States |
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Bootstrapping and Cross-Validating Generalized PLS regressions using GPUJoint Statistical Meeting 2017, Jul 2017, Baltimore, United States |
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New insights in Approximate Bayesian Computation algorithms for network reverse-engineering22rd International Conference on Computational Statistics, Aug 2016, Oviedo, Spain |
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Influence of Missing Data on the Estimation of the Number of Components of a PLS Regression22rd International Conference on Computational Statistics, Aug 2016, Oviedo, Spain |
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New developments of sparse PLS regressionsCMStatistics 2015, Dec 2015, Londres, United Kingdom |
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Certainty bands for the conditional cumulative distribution function and applications47èmes Journées de Statistique de la SFdS, Jun 2015, Lille, France |
Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored dataCMStatistics 2015, Dec 2015, Londres, United Kingdom |
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Deviance residuals based sparse PLS and sparse kernel PLS regression for censored data60th World Statistics Congress, ISI 2015, Jul 2015, Rio de Janeiro, Brazil |
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Deviance residuals based sparse PLS and sparse kernel PLS regression for censored dataMeeting annuel de la Société de statistique du Canada 2014, May 2014, Toronto, Canada |
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plsRglm, PLS generalized linear models for RUser!2014, Jul 2014, Los Angeles, United States |
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A new bootstrap based stopping criterion in PLS components constructionThe 8th International Conference on Partial Least Squares and Related Methods, May 2014, Paris, France |
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Cascade: a R-package to study, predict and simulate the diffusion of a signal through a temporal gene networkUser!2014, Jul 2014, Los Angeles, United States |
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Cross-validated partial least squares models and their extensions with censored data21st International Conference on Computational Statistics, Aug 2014, Genève, Switzerland |
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Bootstrap technique and number of PLS or PLSGLR components selection21st International Conference on Computational Statistics, Aug 2014, Genève, Switzerland |
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Deviance residuals based sparse PLS and sparse kernel PLS regression for censored dataThe 8th International Conference on Partial Least Squares and Related Methods, May 2014, Paris, France |
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plsRcox, Cox-Models in a high dimensional setting in RUser!2014, Jul 2014, Los Angeles, United States |
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Cascade : un package R pour étudier la dispersion d’un signal dans un réseau de gènesDeuxièmes rencontres R, Jun 2013, Lyon, France |
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Predicted intervention in a cancer genetic programThe 14th International Conference on Systems Biology, Aug 2013, Copenhague, Denmark |
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Inférence conjointe de réseaux de gènes dans de multiples étatsJournées de la statistique 2012, 2012, Bruxelles, Belgique |
PLS Beta RegressionAGROSTAT 2012, Feb 2012, Paris, France |
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Cultural practices affecting esca and Botryosphaeria dieback prevalence of vineyards in the Alsace region of FranceThe 8th International Workshop on Grapevine Trunk Diseases, Jun 2012, Valence, Spain |
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Kernel PLS Beta RegressionsThirteenth International Conference on Chemometrics in Analytical Chemistry, Jun 2012, Budapest, Hungary |
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Kernel PLS GLM RegressionsENBIS 2012, Sep 2012, Ljublana, Slovenia |
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plsRglm, modèles linéaires généralisés PLS sous RAGROSTAT 2010, Feb 2010, Benevento, Italy. p. 33-42 |
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plsRglm, PLS generalized linear models for the R language.CAC - 2010. Twelfth International Conference on Chemometrics in Analytical Chemistry, Oct 2010, Anvers, Belgium. pp.66 |
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PlsRglm : Régression PLS et modèles linéaires généralisés sous R42èmes Journées de Statistique, 2010, Marseille, France, France |
plsRcox : modèles de Cox en présence d'un grand nombre de variables explicativesChimiométrie 2010, Dec 2010, Paris, France. p. 67-68 |
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plsRglm, modèles linéaires généralisés PLS sous RChimiométrie 2009, Nov 2009, Paris, France. pp 52-54 |
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Using multitable techniques for assessing Phytoplankton Structure and Succession in the Reservoir Marne (Seine Catchment Area, France)First joint meeting of the Société Francophone de Classification and the Classification And Data Analysis Groupe of SIS, Jun 2008, Caserta, Italy |
Using Factor Analyses to explore data generated by the National Grapevine Wood Diseases SurveyJoint Meeting of the Statistical Society of Canada and the Société Française de Statistique, May 2008, Ottawa, Canada |
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Decision rules based on the estimate of a proportion of measurements11th Conference on Chemometrics in Analytical Chemistry, Jul 2008, Montpellier, France. pp.245 - 249 |
High-performance Method to Predict Sales of Fast-moving Sales GoodsJoint Meeting of the Statistical Society of Canada and the Société Française de Statistique, May 2008, Ottawa, Canada |
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Using multitable techniques for assessing phytoplankton structure and succession in the reservoir Marne (Seine Catchment Area, France)SFC-CLADAG First joint meeting of the Société Francophone de Classification and the Classification And Data Analysis Groupe of SIS, Jun 2008, Caserta, Italy |
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Développement d'Edgeworth de deux estimateurs d'une proportion de mesures39ème Journées de statistique de la SFdS, Jun 2007, Angers, France. pp.83 |
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Intervalles de confiance bilatéraux et unilatéraux d'une proportion de mesuresChimiométrie 2007, Nov 2007, Lyon, France. pp.82-85 |
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Application de méthodes de classification sur des vitesses métrologiques de dégradation de compteurs d'eau.XIVe Rencontre de la Société francophone de classification -- SFC 2007, Sep 2007, Paris, France |
Phytoplankton Structure and Succession in the Reservoir Marne (Seine Catchment Area, France): A Multitable ApproachFifth Symposium for European Freshwater Sciences, Jul 2007, Palerme, Italy |
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A powerfull multitable approach for assessing phytoplankton structure and dynamics in the reservoir Marne (Seine catchment area, France)3. Congress of the International Association of Theoretical and Applied Limnology, Jul 2007, Montréal, Canada. 1 p |
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A characterization of grapevine trunk diseases in France from data generated by the National Grapevine Wood Diseases SurveyAPS/SON Joint Meeting 2007, 2007, San Diego, United States |
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A powerful multitable approach for assessing phytoplankton structure and dynamics in the reservoir Marne (Seine catchment area, France)30th Congress of the International Association of Theoretical and Applied Limnology, Aug 2007, Montréal, Canada |
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Analyses Factorielles et Régressions Logistiques réalisées à partir de données récoltées dans le cadre de l'Observatoire National des Maladies du Bois de la Vigne39ème Journées de statistique de la SFdS, Société Française de Statistique (SFdS). FRA., Jun 2007, Angers, France. pp.62 |
Développement d'Edgeworth de deux estimateurs d'une proportion de mesuresCongrès national de Mathématiques Appliquées et Industrielles, Jun 2007, Praz sur Arly, France |
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Composition, factorisation et conditions d'optimalité (faible, forte) dans la méthode de partage des poids ; application à l'enquête sur le tourisme en Bretagne.Journées de Méthodologie Statistique 2005, 2005, Paris, France. pp.1-8 |
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A Practical Implementation of the Gibbs Sampler for Mixture of Distributions: Application to the Determination of Specifications in Food Industry2005, pp.828-838 |
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Risk management for analytical methods: conciliating objectives of methods, validation phase and routine decision rules.Risk management for analytical methods: conciliating objectives of methods, validation phase and routine decision rules., 2005, France. pp.1-4 |
Model selection for multi-class SVMsInternational Symposium on Applied Stochastic Models and Data Analysis - ASMDA 2005, May 2005, Brest, France |
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Extensions de la méthode d'échantillonnage indirect et son application à l'enquête dans le tourisme : M.O.R.G.O.A.TJournées de Méthodologie Statistique 2005, 2005, Paris, France. pp.1-14 |
Partial Least Squares Regression for Beta Regression Models2021, Technical note 138. User!2021 proceedings |
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Network Reverse Engineering with Approximate Bayesian Computation2021, Technical note 164. User!2021 proceedings |
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Comment la modélisation statistique contribue-t-elle à la recherche biomédicale et à la R&D de l'industrie ?Statistiques [math.ST]. Université de Strasbourg, 2020 |
Position fœtale et système vestibulaire : un modèle explicatif des troubles de la coordination et des apprentissages60e Congrès annuel de la Société Française de Psychologie : Apprentissages, Vulnérabilités, Préventions. Poitiers, le 4 au 6 Septembre 2019, Sep 2019, Poitiers, France. 2019 |
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Facteurs biologiques et environnementaux influençant le développement de l'enfant : latéralité et positionnement foetal15èmes journées du groupe de réflexion en psychopathologie cognitive (GREPACO), Université de Reims Champagne-Ardenne, 6-7 juin 2019, Jun 2019, Reims, France. 2019 |
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Facteurs biologiques et environnementaux influençant le développement psychomoteur de l'enfant : latéralité et positionnement fœtal.15èmes journées du Groupe de Réflexion en Psychopathologie Cognitive (GREPACO), Jun 2019, Reims, France. 2019 |
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Estimation of reference curves for fetal weightCMStatistics 2019, Dec 2019, London, United Kingdom |
Certainty bands for the conditional cumulative distribution function and applicationsCMStatistics 2015, Dec 2015, London, United Kingdom |
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Système de recommandation : algorithmes et application à la plateforme KeeSeeK[Rapport de recherche] Université de Strasbourg, IRMA UMR 7501. 2019 |
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Etude du processus empirique composéMathématiques [math]. Université Pierre et Marie Curie - Paris VI, 2002. Français. ⟨NNT : ⟩ |