Gilbert Saporta
Présentation
Professeur émérite de Statistique Appliquée au Conservatoire National des Arts et Métiers (CNAM) Professeur invité 2017-2022 : Beihang University, Beijing, Chine webpage : http://cedric.cnam.fr/~saporta
e-mail: gilbert.saporta@cnam.fr FORMATION ENSEIGNEMENT au Conservatoire National des Arts et Métiers (1984-2014): autres établissements: DIRECTION DE THESES ASSOCIATIONS:
Publications
Publications
Enhancing Fuzzy Forests with Consensus Clustering for Unbiased and Robust Feature SelectionJOCLAD 2025, CLAD, Apr 2025, Porto, Portugal. pp.85-86 |
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A Century of Functional Data AnalysisASMDA 2025; The 21th Conference of the Applied Stochastic Models and Data Analysis International Society, University of Piraeus, Jun 2025, Le Pirée, Greece |
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Statistical Challenges in Business and Industry in the Era of Machine Learning and Artificial IntelligenceThe 23rd Conference on International Exchange of Professionals, Ministry of Human Resources and Social Security, China, Oct 2025, Shanghai (Chine), China |
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Categorical Data Encoding: from H.O. Hirschfeld to Machine Learning65th ISI World Statistics Congress, International Statistical Institute, Oct 2025, La Haye, Netherlands |
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Une approche divisive et interprétable de réduction de dimension pour la prédiction de la RULJDS2025: 56ièmes Journées de Statistique de la SFDS, SFDS, Jun 2025, Marseille, France |
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A Divisive Unsupervised Feature Selection Approach for Explainable Remaining Useful Life PredictionDatabase and Expert Systems Applications. DEXA 2025, Aug 2025, Bangkok, Thailand. pp.270-286, ⟨10.1007/978-3-032-02088-8_19⟩ |
Codage optimal et encodage: nouveaux regards sur un ancien problèmeCISEM 2024, 4ème Colloque international statistique et économétrie, Faculté des sciences économiques et de gestion, May 2024, Mahdia, Tunisie |
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Clustering variables: a survey and some new developmentsSensometrics 2024, The Sensometric Society, Jun 2024, Paris, France |
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Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI EffectivenessThe 37th International Conference of the Florida Artificial Intelligence Research Society, May 2024, Florida, United States. ⟨10.32473/flairs.37.1.135526⟩ |
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Optimal Scaling: New Insights Into an Old ProblemSDS 2024; Statistics and Data Science Conference, SIS, Apr 2024, Palermo, Italy. pp.97-100 |
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Effet de la complexité du réseau LSTM sur l'explicabilité en Maintenance PrédictiveJdS 2024: 55ièmes Journées de Statistique, SFDS, May 2024, Bordeaux, France |
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Quantifying the contribution of individual records to the reidentification risk of (pseudo) anonymized datasets64th ISI World Statistics Congress, International Statistical Institute, Jul 2023, Ottawa (Ontario), Canada |
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Une comparaison de quelques méthodes de classification de variables mixtesSFC'2023; Rencontres de la Société Francophone de Classification, Jul 2023, Strasbourg, France. pp.115-116 |
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A comparison of some methods for clustering of variables of mixed typesXXX Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2023), CLAD, Apr 2023, Viana Do Castelo, Portugal. pp.85-86 |
Sparse non-symmetrical correspondence analysisCARME - Correspondence Analysis and Related Methods, Universität Bonn, Sep 2023, Bonn, Germany |
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Une revue systématique de la littérature autour du biais, de l'équité et de l'explicabilitéCNIA 2023 - Conférence Nationale en Intelligence Artificielle, AFIA- Association française pour l'Intelligence Artificielle, Jul 2023, Strasbourg, France. pp.87-98 |
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Consensus de partitions en NLP pour une revue systématique de la littérature autour de l'XAI du biais et de l'équitéSFC'2023; Rencontres de la Société Francophone de Classification, Société Francophone de Classification, Jul 2023, Strasbourg, France. pp.43-48 |
Optimal Scaling: New Insights Into an Old ProblemASMDA 2023, 20th Applied Stochastic Models and Data Analysis Conference, Hellenic Mediterranean University, Jun 2023, Heraklion - Crete, Greece |
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Equité et explicabilité des algorithmes : définitions, paradoxes et biaisCISEM 2022, 3eme Colloque international statistique et économétrie, Faculté des sciences économiques et de gestion, Mahdia, May 2022, Mahdia, Tunisie |
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Some spatial regression models for functional and compositional dataConference in honor of Christine Thomas-Agnan, Toulouse School of Economics, Jul 2022, Toulouse, France |
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On some issues related to the fairness of algorithmsCompstat 2022, 24th International Conference on Computational Statistics, International Association for Statistical Computing- European Regional Section, Aug 2022, Bologna, Italy |
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Codage optimal : nouveaux regards sur un ancien problème27èmes rencontres de la Société Francophone de Classification (SFC) 2022, Université Lumière Lyon 2, Sep 2022, Lyon, France |
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Sparse Correspondence Analysis for Contingency TablesCelebrating 40 years of Greek Statistical Institute 1981-2021, Greek Statistical Institute, Mar 2021, Athènes, Greece |
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Interprétabilité des modèles prédictifsASI 11. 11ème Colloque International sur l'Analyse Statistique Implicative, Nov 2021, Belfort, France |
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Sparse Divisive Feature ClusteringXXVIII Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2021), CLAD, Dec 2021, Covilhã, Portugal. pp.75-76 |
From the triumph of black boxes to the right to understand and the search for fairnessASMDA 2021, Jun 2021, Athens, Greece |
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Sparse Multiple Correspondence Analysis52èmes Journées de Statistique, Société Française de Statistique (SFdS), May 2020, Nice, France. pp.830-835 |
About Interpreting and Explaining Machine Learning and Statistical ModelsSMTDA 2020; 6th Stochastic Modeling Techniques and Data Analysis International Conference, Jun 2020, Barcelone (virtual), Spain |
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Sparse Methods for Unsupervised Data AnalysisThe 4th International Symposium on Interval Data Modelling (SIDM 2019), Jun 2019, Pékin, China |
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Sparse Correspondence AnalysisASMDA 2019. 18th Conference of the Applied Stochastic Models and Data Analysis International Society, Jun 2019, Florence, Italy |
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Impact of work-related psychosocial factors on mental health: A cross-sectional study in the French working populationWork, Stress and Health 2019 Conference of the American Psychological Association, Nov 2019, Philadelphia, United States |
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Science des données, données massives : défis et nouveaux métiersCISEM 2019, May 2019, Mahdia, Tunisie |
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De l'analyse exploratoire à la modélisation prédictive: le chemin de la science des donnéesMontpellier: berceau de la Data Science. Colloque en l'honneur du Pr. Yves Escoufier, Jun 2019, Montpellier, France |
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Clusterwise multiblock PLSSFC 2018, Sep 2018, Paris, France |
SFLM: A mix of a Functional Linear Model and of a Spatial Autoregressive Model for spatially correlated functional dataCroNoS Workshop on Functional Data Analysis, Aug 2018, Iasi, Romania |
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Clusterwise Methods: a Synthesis and New DevelopmentsHomenagem a Fernando da Costa Nicolau, Associação Portuguesa de Classificação e Análise de Dados, Jun 2018, Lisbonne, Portugal. pp.23-26 |
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Identification et hiérarchisation des facteurs psychosociaux liés au stress au travail49èmes journées de statistique, May 2017, Avignon, France |
Importance of factors contributing to work-related stress: comparison of four metricsASMDA 2017, Jun 2017, London, United Kingdom |
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Clusterwise Sparse PLSPLS'17, Jun 2017, Macao, Macau SAR China |
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Expliquer ou prédire? Les nouveaux défisChimiometrie 2017, Jan 2017, Paris, France |
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Clusterwise methods, past and presentISI 2017 61st World Statistics Congress, Jul 2017, Marrakech, Morocco |
Regularized clusterwise multiblock regressionCompstat 2016, Aug 2016, Oviedo, Spain |
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Some Sparse Methods for High Dimensional DataH2DM International Workshop on High Dimensional Data Mining, Jun 2016, Naples, Italy |
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Variable selection for longitudinal biomarkers constrained by a detection limitCompstat 2016, Aug 2016, Oviedo, Spain |
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A New Approach to Estimate Uncertainty in Waste CharacterizationAdvances in Nuclear Nonproliferation Technology and Policy Conference, Sep 2016, Santa Fe, United States |
Training Data Scientists: A Few ChallengesEuropean Data Science Conference, European Association for Data Science, Nov 2016, Luxembourg, Luxembourg |
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Predictive versus Generative Modelling: a Challenge for (Social) SciencesData Science & Social Research Conference, Feb 2016, Naples, Italy |
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Intégrer les données manquantes dans la sélection de variables pour données longitudinales48 èmes Journées de Statistique, May 2016, Montpellier, France |
Variable selection for multiply imputed data with penalized generalized estimating equationsXXVIIIth International Biometric Conference, Jul 2016, Victoria, Canada |
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Prédiction en régression clusterwise PLS48 èmes Journées de Statistique, May 2016, Montpellier, France |
A methodological tool for work-related stress management: Importance-Performance Analysis used complementary to PLS path modellingApplied Stochastic Models and Data Analysis, Jul 2015, Le Pirée, Greece |
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Which analytic methods for Big Data?ARS'15. Fifth International Workshop on Social Network Analysis, Università degli Studi di Salerno, Apr 2015, Capri, Italy |
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Screening policies in health impact assessment: easier decision making through cluster analysis8th European Congress of Epidemiology, International Epidemiological Association, Jun 2015, Maastricht, Netherlands. pp.852, ⟨10.1007/s10654-015-0072-z⟩ |
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Screening Policies for Health Impact Assessment: cluster analysis for easier decision making8th European Public Health Conference, European Public Health Association, Oct 2015, Milan, Italy. pp.133-134, ⟨10.1093/eurpub/ckv171.014⟩ |
Les méthodes « clusterwise » : principes et applicationsXXII èmes rencontres de la Société Francophone de Classification, Sep 2015, Nantes, France |
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Conjoint Analysis: past, present and issuesChoice and preference analysis for quality improvement and seminar on experimentation, Jul 2015, Bari, Italy |
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Clusterwise multiblock PLSCARME 2015: Correspondence Analysis and Related Methods, Sep 2015, Napoli, Italy |
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Exploratory data analysis and contiguity relations: An outlookCFE-CMStatistics, Dec 2015, London, United Kingdom |
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Generalizing Partial Least Squares and Correspondence Analysis to Predict Categorical (and Heterogeneous) Data7th conference on Correspondence Analysis and Related Methods CARME 2015, Sep 2015, Napoli, Italy |
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The Effect of Missing Visits on GEE, a Simulation StudyApplied Stochastic Models and Data Analysis ASMDA 2015, Jun 2015, Le Pirée, Greece |
Clusterwise multiblock PLS regressionCFE-CMStats, Dec 2015, London, United Kingdom |
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L'effet de visites manquantes sur l'estimateur des GEE, une étude par simulation47èmes journées de statistique, Jun 2015, Lille, France |
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Régression typologique pour données multi-blocs46 émes journées de statistique, Jun 2014, Rennes, France |
Supervised classification and experimental designsCompstat 2014, Aug 2014, Genève, Switzerland |
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PLS regression for multivariate functional dataPLS2014. 8th International Conference on Partial Least Squares and Related Methods, May 2014, Paris, France. pp.155 |
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A PLS Path Model for Predicting Impact of Job Characteristics on Work-Related StressPLS2014. 8th International Conference on Partial Least Squares and related Methods, May 2014, Paris, France. pp.103-104 |
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An integration of partial least squares and sparsified multiple correspondence analysis applied to genetic dataPLS2014. 8th International Conference on Partial Least Squares and Related Methods, May 2014, Paris, France. pp.27-28 |
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Data Mining, Machine Learning and Official StatisticsConference of European Statistics Stakeholders, Nov 2014, Rome, Italy |
De l'ACP sparse à l'ACM sparseAgrostat 2014, Mar 2014, Rabat, Maroc |
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A survey of some sparse methods for high-dimensional dataSADA'13, Mar 2013, Cotonou, Benin |
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Une comparaison de quatre techniques d'inférence des refusés dans le processus d'octroi de crédit45 émes Journées de statistique, May 2013, Toulouse, France |
Reject inference techniques and semi supervised methods implemented in the process for granting creditERCIM 2013, Dec 2013, Londres, United Kingdom |
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Analyse en composantes principales sparse pour données multiblocs et extension à l'analyse des correspondances multiples sparse45 émes Journées de statistique, May 2013, Toulouse, France |
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A Robust Strategy for Combining Several Classifiers for Small Samples and Heterogeneous PredictorsChimiometrie 2013, Sep 2013, Brest, France. pp.33-34 |
From Sparse Regression to Sparse Multiple Correspondence AnalysisEuropean Conference on Data Analysis, Jul 2013, Luxembourg, Luxembourg. pp.25 |
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Mining Official Data: What's New?2012 SIAM International Conference on Data Mining, Apr 2012, Anaheim, United States |
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Contrôle non paramétrique de procédés par lots basé sur STATIS et la classificationAgrostat2012, 12èmes journées Européennes Agro-Industrie et Méthodes Statistiques, Mar 2012, Paris, France. pp.163-169 |
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Stacking prediction for a binary outcomeCompstat 2012, Aug 2012, Limassol, Cyprus. pp.271-282 |
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Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultesEGC 2012, Jan 2012, Bordeaux, France. pp.555-556 |
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Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutanéJdS'12, May 2012, Bruxelles, Belgique |
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Sparse principal component analysis for multiblock data and its extension to sparse multiple correspondence analysisCompstat 2012, International Association for Statistical Computing, Aug 2012, Limassol, Cyprus. pp.99-106 |
A generalisation of sparse PCA to multiple correspondence analysisERCIM 2012, Dec 2012, Oviedo, Spain |
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Statistique et analyse de données pour l’assureurGender Directive Conference, ActuariaCnam, May 2012, Paris, France |
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Kernel discrimination and explicative features: an operative approachCompstat 2012, Aug 2012, Limassol, Cyprus. pp.507-518 |
A comparison between latent semantic analysis and correspondence analysisCARME 2011 International conference on Correspondence Analysis and Related Methods, Feb 2011, Rennes, France. pp.20 |
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A Semi-Supervised Hybrid System to Enhance the Recommendation of Channels in terms of Campaign ROICIKM'11, 20th ACM Conference on Information and Knowledge Management, Oct 2011, Glasgow, United Kingdom. pp.2265-2268 |
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Approche bayesienne des modèles à équations structurelles utilisant l'expansion paramétrique43. Journées de Statistique, Jun 2011, Tunis, Tunisie |
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Une méthode de traitement des refusés dans le processus d'octroi de crédit43émes Journées de Statistique, Jun 2011, Tunis, Tunisie |
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A semi-supervised recommender system to predict online job offer performanceTheory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Oct 2011, Beijing, China |
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e-Recrutement : recherche de mots-clés pertinents dans le titre des annonces d'emploiJADT'2010, 10th International Conference on Statistical Analysis of Textual Data, Jun 2010, Rome, Italie |
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Approche bayésienne des modèles à équations structurelles42èmes Journées de Statistique, Société française de statistiques, May 2010, Marseille, France |
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Détermination du nombre de classes dans les méthodes de bipartitionnement17émes Rencontres de la Société Francophone de Classification, Jun 2010, Saint-Denis de la Réunion, France. pp.119-122 |
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Anticipated and Adaptive Prediction in Functional Discriminant AnalysisCOMPSTAT'2010, 19th International Conference on Computational Statistics, Aug 2010, Paris, France. pp.189-198 |
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On the use of Weighted Regression in Conjoint AnalysisCOMPSTAT'2010, 19th International Conference on Computational Statistics, Aug 2010, Paris, France. pp.777-784 |
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Modèles de comptage appliqués aux décisions de candidature aux offres d'emploi sur le web42èmes Journées de Statistique, 2010, Marseille, France, France |
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WCUM pour l'analyse d'un site web10e conférence internationale sur l'Extraction et la Gestion des Connaissances EGC'2010, Jan 2010, Hammamet, Tunisie. pp.45-52 |
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On the Number of Clusters in Block Clustering Algorithms23rd International FLAIRS Conference, May 2010, Florida, United States. pp.392-397 |
Classification supervisée et données fonctionnellesSFC'2010, 17èmes rencontres de la Société Francophone de Classification, Jun 2010, Saint Denis de la Réunion, France |
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Contributions to Bayesian Structural Equation ModelingCOMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, Aug 2010, Paris, France. pp.469-476 |
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A Clusterwise Center and Range Regression Model for Interval-Valued DataCOMPSTAT'2010, 19th International Conference on Computational Statistics, Aug 2010, Paris, France. pp.461-468 |
Comparing partitions of different units based on same questionnaireSymposium on Mathematical Sciences, American University of Beirut, Jan 2009, Beyrouth, Lebanon |
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An Approach for PLS Regression Modeling of Functional Data6th International Conference on Partial Least Squares and Related Methods (PLS'09), Sep 2009, Pékin, China. pp.28-33 |
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Un modèle à variables latentes pour le traitement de données hybrides issues de comparaison interlaboratoires41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France |
Block clustering for web pages categorizationIDEAL 2009: Intelligent Data Engineering and Automated Learning, Sep 2009, Burgos, Spain. pp.260-267, ⟨10.1007/978-3-642-04394-9_32⟩ |
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PLS Regression with Functional Predictor and Missing DataPLS'09,6th Int. Conf. on Partial Least Squares and Related Methods, Sep 2009, Pékin, China. pp.17-22 |
Models for Understanding versus Models for PredictionMSDM'09, Mar 2009, Hammamet, Tunisia |
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Determining the number of clusters in CROKI2 algorithmMSDM'09 - Meeting on Statistics and Data Mining, Mar 2009, Hammamet, Tunisia. pp.143-148 |
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Contrôle multivarié de procédés par lots à l'aide de Statis41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France |
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Batch Process Monitoring by Three-way Data Analysis ApproachASMDA'09 XIII International Conference on Applied Stochastic Models and Data Analysis, Jul 2009, Vilnius, Lithuania. pp.294-298 |
Supervised and Unsupervised Linear Methods for Functional Data AnalysisASMDA'09, Jul 2009, Vilnius, Lithuania |
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Adaptive Forecasting on Functional DataSIS'08, Societa Italiana di Statistica, Jan 2008, Arcavata di Rende, Italy |
Multiple Imputation and Multidimensional Scaling Applied to a k-means MethodCOMPSTAT'08, Aug 2008, Porto, Portugal |
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Models for Understanding versus Models for PredictionCompstat 2008, Aug 2008, Porto, Portugal. pp.315-322, ⟨10.1007/978-3-7908-2084-3_26⟩ |
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Zero option in conjoint analysis, A new specification of the indecision and the refusal. Application to the Video on Demand marketSIS'08, Societa Italiana di Statistica, Jun 2008, Cosenza, Italy |
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Le bi-partitionnement : Etat de l'art sur les approches et les algorithmesEcol'IA'08, Mar 2008, Hammamet, Tunisie |
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Resampling ROC curvesIASC'07 International Association for Statistical Computing,, Aug 2007, Aveiro, Portugal |
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Discussion on Importance of Variable Selection in PLS1 ModelingPLS'07 5th Int. Symp. on PLS and related methods, Oslo, 2007, Oslo, Norway |
The Response Surface as Explorative Tool in Multiple Correspondence AnalysisCARME'07, Correspondence Analysis and Related Methods, Jun 2007, Rotterdam, Netherlands |
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Model Selection and Predictive InferenceTrends and Challenges in Applied Mathematics, Technical University of Civil Engineering, Jun 2007, Bucarest, Romania. pp.92-97 |
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L'enseignement à distance en statistique : technologie et pédagogie39èmes Journées de Statistique, Jun 2007, Angers, France |
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Discriminant analysis on functional dataXV Congresso Annual da Sociedade Portuguesa de Estadistica, Aug 2007, Lisbonne, Portugal |
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Linear methods for regression and classification with functional dataIASC-ARS'07 special Conf., Jan 2007, Séoul, South Korea |
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A nonlinear PLS path modeling based on monotonic B-spline transformations5th International symposium on PLS and related methods (PLS'07), Sep 2007, Matforsk, Norway. pp.112-115 |
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Une comparaison expérimentale entre les approches PLS et LISREL38èmes Journées de Statistique, May 2006, Clamart, France |
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Une comparaison de certains indices de pertinence des règles d'associationEGC 06 Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.561-568 |
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Model assessmentKNEMO'06 Knowledge Extraction and Modeling, Jan 2006, Capri, Italy |
Classification préalable à la recherche de règles d'associationRIAS'06 Rencontres Inter-Associations sur le thème de la classification, Mar 2006, Lyon, France. pp.1 |
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Dealing with missing data in a k-means method - A simulation based approachCOMPSTAT 2006, Aug 2006, X, Italy. pp.182 |
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Méthodes de classification pour l'extraction de règlesSFC'06. Rencontres de la Société Francophone de Classification, Jan 2006, Metz, France. pp.4 |
Statistical Methods and Credit ScoringJOCLAD'06, Apr 2006, Lisbonne, Portugal |
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Anticipated prediction in discriminant analysis on functional data for binary responseCOMPSTAT'06, 17th Symposium on Computational Statistics, Aug 2006, Rome, Italy. pp.821-828 |
Credit scoring, statistique et apprentissageEGC'06, Jan 2006, Lille, France |
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Kernel logistic PLS: a new tool for complex classificationASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, May 2005, Brest, France. pp.441-451 |
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PLS classification of functional dataPLS'05 4th Int. Symp. on PLS and related methods, Aug 2005, Barcelone, Spain |
Combined use of association rules mining and clustering methods3rd world Conf. on Computational Statistics Data Analysis, Oct 2005, Limassol, Cyprus |
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Some Statistical Aspects of Credit Scoring3rd world Conf. on Computational Statistics Data Analysis, Oct 2005, Limassol, Cyprus |
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Une étude comparative de logiciels de prévision automatique de séries chronologiques37èmes Journées de Statistique, Jun 2005, Pau, France |
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Conjoint use of variables clustering and PLS structural equations modellingPLS'05 4th Int. Symp. on PLS and related methods, Sep 2005, Barcelona, Spain |
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Customer satisfaction and PLS structural equation modeling. An application to automobile marketASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis., May 2005, Brest, France. pp.756-763 |
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PLS discriminant analysis for functional dataASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, May 2005, Brest, France. pp.653-661 |
New techniques to compare partitions of different units based on same surveys3rd world Conf. on Computational Statistics Data Analysis, Oct 2005, Limassol, Cyprus |
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Utilisation conjointe des règles d'association et de la classification de variables37 èmes Journées de Statistique, May 2005, Pau, France |
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Kano's satisfaction model applied to External Preference Mapping : a new way to handle non linear relationships between hedonic evaluations and product characteristicsPLS'05 4th Int. Symp. on PLS and related methods, Sep 2005, Barcelona, Spain |
Coefficiente de affinidade em classificação com dados omissos. Uma Aplicação a Dados ReaisJOCLAD 2004. XI Jornadas de Classificação e Análise de Dados, Apr 2004, Lisbonne, Portugal |
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The St@tNet Project for Teaching StatisticsCOMPSTAT 2004. 16th Symposium on Computational Statistics, IASC, Aug 2004, Prague, Czech Republic. pp.417-428, ⟨10.1007/978-3-7908-2656-2_34⟩ |
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A control chart approach to select eigenvalues in principal component and correspondence analysis54th Session of the International Statistical Institute, International Statistical Institute, Aug 2003, Berlin, Germany |
On the connection between the distribution of eigenvalues in multiple correspondence analysis and log-linear analysisCARME2003: Correspondence Analysis and Related Methods, Jun 2003, Barcelone, Spain |
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Correspondence Analysis and ClassificationCARME2003: Correspondence Analysis and Related Methods, Jun 2003, Barcelone, Spain |
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Classification hiérarchique ascendante avec imputation multiple de données manquantesSFC' 03 10èmes rencontres de la Société Francophone de Classification, Sep 2003, Neuchatel, Suisse. pp.59-62 |
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Sur des indices de comparaison de deux classificationsSFC'03 10 èmes rencontres de la Société Francophone de Classification, Sep 2003, Neuchatel, Suisse. pp.177-180 |
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Efeito de um Método de Imputação Múltipla em Classificação Hierárquica de VariáveisJOCLAD 2003: X Jornadas de Classificação e Análise de Dados, CLAD, Apr 2003, Aveiro, Portugal |
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Discussion on IPM 71: Educational implications of statistical method and modelling developments in psychometry54th Session of the International Statistical Institute, International Statistical Institute, Aug 2003, Berlin, Germany |
Indices de comparaison de partitions prochesPremière conférence sur la statistique et l’analyse de données, ISAE Cnam Liban, Sep 2002, Beyrouth, Liban |
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Méthode multivariée de fusion statistique de fichiers de données appliquée au marché résidentiel de l'électricité3ème Colloque Francophone sur les Sondages, SFdS, Oct 2002, Autrans, France |
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St@tNet, An Internet Based Software For Teaching Introductory StatisticsICOTS 6 International Conference On Teaching Statistics, IASE, Jul 2002, Cape Town, South Africa |
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Clusterwise PLS regression on a stochastic processCOMPSTAT 2002. 15th Conference on Computational Statistics, Aug 2002, Berlin, Germany |
Dados omissos em Classificação hierárquica de variáveis e o algoritmo NIPALSJOCLAD 2002, CLAD, Feb 2002, Lisbonne, Portugal |
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Méthode multivariée de fusion statistique de fichiers appliquée au marché résidentiel de l'électricité34èmes Journées de Statistique, SFdS, May 2002, Bruxelles, Belgique |
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Comparing two partitions: Some Proposals and ExperimentsCOMPSTAT 2002, Aug 2002, Berlin, Germany. pp.243-248, ⟨10.1007/978-3-642-57489-4_33⟩ |
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Missing Data in Hierarchical Classification of Variables, a simulation studyIFCS 2002, International Federation of Classification Societies, Jul 2002, Krakow, Poland. pp.121-128, ⟨10.1007/978-3-642-56181-8_13⟩ |
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Concordance entre deux Partitions : quelques propositions et expériencesSFC 2001: 8èmes rencontres de la Société Francophone de Classification, Dec 2001, Pointe à Pitre, France |
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A new Method to Match Data Sets Applied to Electric MarketNTTS-ETK : New Techniques and Technologies for Statistics, Exchange of Technology and Know-how, Eurostat, Jun 2001, Hersonissos, Greece. pp.725-733 |
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Missing Data in Hierarchical Classification - a study with Personality developpment dataASMDA 2001, Jun 2001, Compiègne, France |
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PLS regression on a stochastic processASMDA'01: 10th International Symposium on Applied Stochastic Models and Data Analysis, Jun 2001, Compiegne, France |
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PLS regression on a stochastic processPLS'01. Second International Symposium on PLS and related methods, Oct 2001, Capri, Italy |
Missing Data in Hierarchical Classification, a study with personality development dataEMPG 2001 32nd European Mathematical Psychology Group Meeting, Sep 2001, Lisbonne, Portugal |
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On a statistical Sofware package for non-expert usersETK & NTTS 2001, Eurostat, Jun 2001, Hersonissos, Greece. pp.903-905 |
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Comparability of Statistical Concepts in Labour Force SurveysETK & NTTS 2001, Eurostat, Jun 2001, Hersonissos, Greece. pp.907-910 |
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Régression PLS sur un processus stochastique33 èmes Journées de Statistique, May 2001, Nantes, France |
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