Gilbert Saporta

Professeur émérite
Personal website: http://cedric.cnam.fr/~saporta
Office: C154

Emeritus Professor since 2014 Guest professor 2017-2022, Beihang University, China

Publications

2020

Livres

  1. Diday, E.; Guan, R.; Saporta, G. and Wang, H. Advances in Data Science. Symbolic, Complex and Network Data. ISTE, Big Data, Artificial Intelligence and Data Analysis , 2020. www 

Non publié

  1. Huang, T.; Saporta, G.; Wang, H. and Wang, S. Spatial Functional Linear Model and its Estimation Method. , working paper or preprint. www 
  1. Beaton, D.; Saporta, G. and Behavioral, H. A. A generalization of partial least squares regression and correspondence analysis for categorical and mixed data: An application with the ADNI data. , working paper or preprint. doi  www 

2019

Articles de revue

  1. Wang, H.; Gu, J.; Wang, S. and Saporta, G. Spatial partial least squares autoregression: Algorithm and applications. In Chemometrics and Intelligent Laboratory Systems, 184: 123-131, 2019. doi  www 
  1. Wang, Z.; Wang, H.; Wang, S.; Lu, S. and Saporta, G. Linear mixed-effects model for longitudinal complex data with diversified characteristics. In Journal of Management Science and Engineering, 2019. doi  www 
  1. Huang, T.; Wang, H. and Saporta, G. Spatial autoregressive model for compositional data. In Journal of Beijing University of Aeronautics and Astronautics, 2019. www 

Chapitres d'ouvrage

  1. Saporta, G. 50 Years of Data Analysis: From Exploratory Data Analysis to Predictive Modeling and Machine Learning. In Data Analysis and Applications 1Clustering and Regression, Modeling-estimating, Forecasting and Data Mining, ISTE-Wiley, Data Analysis and Applications , 2019. www 

Articles de conférence

  1. Saporta, G.; Liu, R.; Niang Keita, N. and Wang, H. Sparse Methods for Unsupervised Data Analysis. In The 4th International Symposium on Interval Data Modelling, Beijing, China, 2019. www 
  1. Saporta, G.; Liu, R.; Niang Keita, N. and Wang, H. Sparse Correspondence Analysis. In ASMDA 2019. 18th Conference of the Applied Stochastic Models and Data Analysis International Society, Florence, Italy, 2019. www 
  1. Saporta, G. Science des données, données massives : défis et nouveaux métiers. In CISEM 2019, Mahdia, Tunisia, 2019. www 
  1. Saporta, G.; Daouda, O.; Chevance, A.; Salavador, A.; Legeron, P.; Morvan, Y.; Hocine, M. and Gaillard, R. Impact of work-related psychosocial factors on mental health: A cross-sectional study in the French working population. In Work, Stress and Health 2019 Conference of the American Psychological Association, Philadelphia, United States, 2019. www 

Divers

  1. Daouda, O. S.; Temime, L.; Saporta, G. and Hocine, M. How to prioritize work-related psychosocial factors impacting mental health? Regression and random forest approaches. , Poster. www 

2018

Articles de revue

  1. Bougeard, S.; Abdi, H.; Saporta, G. and Niang, N. Clusterwise analysis for multiblock component methods. In Advances in Data Analysis and Classification, 12 (2): 285-313, 2018. doi  www 
  1. Niang, N.; Saporta, G.; Cariou, V. and Bougeard, S. Prediction for regularized clusterwise multiblock regression. In Applied Stochastic Models in Business and Industry, 2018. www 
  1. Saporta, G. Training data scientists: a few challenges. In International Journal of Data Science and Analytics, 6 (3): 201-204, 2018. doi  www 
  1. Wei, Y.; Wang, H.; Wang, S. and Saporta, G. Incremental modelling for compositional data streams. In Communications in Statistics - Simulation and Computation, 48 (8): 2229-2243, 2018. doi  www 

Livres

  1. Saporta, G.; Maumy-Bertrand, M. and Thomas-Agnan, C. Apprentissage statistique et données massives. Editions Technip, 2018. www 

Chapitres d'ouvrage

  1. Saporta, G. From Conventional Data Analysis Methods to Big Data Analytics. In Big Data for Insurance Companies, pages 27-41, John Wiley & Sons, Inc., 2018. doi  www 
  1. Saporta, G. Une brève histoire de l'apprentissage. In Apprentissage statistique et données massives, Editions Technip, 2018. www 

Articles de conférence

  1. Niang, N.; Bougeard, S. and Saporta, G. Clusterwise multiblock PLS. In SFC 2018, Paris, France, 2018. www 
  1. Huang, T.; Saporta, G.; Wang, H. and Wang, S. SFLM: A mix of a Functional Linear Model and of a Spatial Autoregressive Model for spatially correlated functional data. In CroNoS Workshop on Functional Data Analysis, Iasi, Romania, 2018. www 

Divers

  1. Saporta, G. Une brève histoire de l'intelligence artificielle. , Conférence. www 

2017

Articles de revue

  1. Zaffora, B.; MAGISTRIS, M; Saporta, G. and Chevalier, J-P. Uncertainty quantification applied to the radiological characterization of radioactive waste. In Applied Radiation and Isotopes, 127: 142-149, 2017. doi  www 
  1. Liberati, C.; Camillo, F. and Saporta, G. Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis. In Advances in Data Analysis and Classification, 11 (1): 121-138, 2017. doi  www 
  1. Geronimi, J. and Saporta, G. Variable selection for multiply-imputed data with penalized generalized estimating equations. In Computational Statistics and Data Analysis, 110: 103-114, 2017. doi  www 
  1. Saporta, G. Quelle statistique pour les Big Data?. In Statistique et Société, 5 (1), 2017. www 

Livres

  1. Saporta, G.; Bertrand, F.; Droesbeke, J-J. and Thomas-Agnan, C. Model Choice and Model Aggregation. Editions Technip, 2017. www 

Chapitres d'ouvrage

  1. Saporta, G. Des méthodes classiques d'analyse des données au Big Data. In Le big data pour les compagnies d'assurance, ISTE, Big Data, IA et analyse de données , 2017. www 

Articles de conférence

  1. Bougeard, S.; Niang-Keita, N.; Preda, C. and Saporta, G. Clusterwise Sparse PLS. In PLS'17, Macao, Macau SAR China, 2017. www 
  1. Hocine, M.; Feropontova, N.; Niang, N.; Ait-Bouziad, K. and Saporta, G. Importance of factors contributing to work-related stress: comparison of four metrics. In ASMDA 2017, London, United Kingdom, 2017. www 
  1. Hocine, M.; Bouziad, K. A.; Légeron$^2$, P.; Dab, W. and Saporta, G. IDENTIFICATION ET HIERARCHISATION DES FACTEURS PSYCHOSOCIAUX LIES AU STRESS AU TRAVAIL. In 49 èmes journées de statistique, Avignon, France, 2017. www 
  1. Saporta, G. Clusterwise methods, past and present. In ISI 2017 61st World Statistics Congress, Marrakech, Morocco, 2017. www 

2016

Articles de revue

  1. Zaffora, B.; Magistris, M.; Saporta, G. and La Torre, F. P. Statistical sampling applied to the radiological characterization of historical waste. In EPJ N - Nuclear Sciences & Technologies, 2016. doi  www 
  1. Hocine, M.; Bouziad, K. A.; Legeron, P.; Dab, W. and Saporta, G. How to Identify and Prioritize Psychosocial Factors Impacting Stress Level. In PLoS ONE, 11 (6): e0157078, 2016. doi  www 
  1. Husson, F. c.; Josse, J. and Saporta, G. Jan de Leeuw and the French School of Data Analysis. In Journal of Statistical Software, 73 (6): 16 p., 2016. doi  www 
  1. Gomes, C.; Nocairi, H.; Thomas, M. and Saporta, G. Improving stacking methodology for combining classifiers: applications to cosmetic industry. In Electronic Journal of Applied Statistical Analysis, 09 (2): 340-361, 2016. doi  www 

2015

Articles de revue

  1. Saporta, G. A Conversation with Jean-Louis Bodin. In International Statistical Review, 83 (1): 2-16, 2015. doi  www 

Livres

  1. Droesbeke, J-J.; Saporta, G. and Thomas-Agnan, C. Méthodes robustes en statistique. , 2015. www 

2014

Articles de revue

  1. Hassani, H.; Saporta, G. and Silva, E. S. Data Mining and Official Statistics:The Past, the Present and the Future. In WSDM Workshop Web-Scale Classification: Classifying Big Data from the Web, 2: 1-9, 2014. www 
  1. Gomes, C.; Nocairi, H.; Thomas, M.; Collin, J-F. c. and Saporta, G. A simple and robust scoring technique for binary classification. In Journal of Artificial Intelligence Research, 3: 52-58, 2014. www 

Livres

  1. Droesbeke, J-J.; Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Approches statistiques du risque. , 2014. www 

Chapitres d'ouvrage

  1. Lebart, L. and Saporta, G. Historical Elements of Correspondence Analysis and Multiple Correspondence Analysis. In Visualization and Verbalization of Data, pages 31-44, 2014. www 

Articles de conférence

  1. Hocine, M.; Russolillo, G. and Saporta, G. A PLS Path Model for Predicting Impact of Job Characteristics on Work-Related Stress. In PLS2014, Paris, France, 2014. www 
  1. Saporta, G. and Hassani, H. Data Mining, Machine Learning and Official Statistics. In Conference of European Statistics Stakeholders, November 24-25, 2014, Rome, Italy, 2014. www 
  1. Saporta, G. Supervised classification and experimental designs. In Compstat 2014, Genève, Switzerland, 2014. www 
  1. Bernard, A. and Saporta, G. De l'ACP sparse `a l'ACM sparse. In Agrostat 2014, Rabat, Morocco, 2014. www 
  1. Beaton, D.; Bernard, A.; Abdi, H. and Saporta, G. An integration of partial least squares and sparsified multiple correspondence analysis applied to genetic data. In PLS2014, Paris, France, 2014. www 
  1. Niang Keita, N. and Saporta, G. Régression typologique pour données multi-blocs. In 46 ?mes journ?es de statistique, Rennes, France, 2014. www 
  1. Preda, C. and Saporta, G. PLS regression for multivariate functional data. In PLS2014, Paris, France, 2014. www 

Rapports

  1. Abiteboul, S.; Bancilhon, F. c.; Bourdoncle, F. c.; Clémenc con, S.; De La Higuera, C.; Saporta, G. and Fogelman Soulié, F. c. L'émergence d'une nouvelle filière de formation : `` data scientists ''. Technical Report, INRIA Saclay ; CEDRIC laboratory, CNAM-Paris, France, 2014.

2013

Articles de revue

  1. Séguéla, J. and Saporta, G. A hybrid recommender system to predict online job offer performance. In Revue des Nouvelles Technologies de l'Information, RNTI -E-25: 177-197, 2013. www 
  1. Berger, L.; Macé, J-M.; Ricco, J-B. and Saporta, G. Methodology for the evaluation of vascular surgery manpower in France. In Public Health Ethics, 127: 65-71, 2013. www 
  1. Niang Keita, N.; Fogliatto, F. and Saporta, G. Non parametric on-line control of batch processes based on STATIS and clustering. In Journal de la Societe Franc caise de Statistique, 154: 124-142, 2013. www 

Livres

  1. Lechevallier, Y.; Saporta, G.; Wang, H. and Guan, R. Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis. Hermann, Revue des Nouvelles Technologies de l'Information RNTI E.25, 2013. www 
  1. Saporta, G.; Droesbeke, J-J. and Thomas-Agnan, C. Modèles `a variables latentes et modèles de mélange. , 2013. www 

Articles de conférence

  1. Guizani, A.; Souissi, B.; Benammou, S. and Saporta, G. Reject inference techniques and semi supervised methods implemented in the process for granting credit. In ERCIM 2013, Londres, United Kingdom, 2013. www 
  1. Saporta, G. A survey of some sparse methods for high-dimensional data. In SADA'13, Cotonou, Benin, 2013. www 
  1. Guizani, A.; Souissi, B.; Benammou, S. and Saporta, G. Une comparaison de quatre techniques d'inférence des refusés dans le processus d'octroi de crédit. In 45 ?mes Journ?es de statistique, pages pp, Toulouse, France, 2013. www 
  1. Gomes, C.; Nocairi, H.; Thomas, M.; Collin, J-F. c. and Saporta, G. A Robust Strategy for Combining Several Classifiers for Small Samples and Heterogeneous Predictors. In Chimiometrie 2013, pages 33-34, Brest, France, 2013. www 
  1. Bernard, A. and Saporta, G. Analyse en composantes principales sparse pour données multiblocs et extension `a l'analyse des correspondances multiples sparse. In 45 ?mes Journ?es de statistique, pages pp, Toulouse, France, 2013. www 
  1. Saporta, G. From Sparse Regression to Sparse Multiple Correspondence Analysis. In European Conference on Data Analysis, pages 25, Luxembourg, Luxembourg, 2013. www 

2012

Chapitres d'ouvrage

  1. Demeyer, S.; Foulley, J-L.; Fischer, N. and Saporta, G. Bayesian analysis of structural equation models using parameter expansion. In Statistical learning and data science, pages 135-145, 2012. www 

Articles de conférence

  1. Bernard, A.; Tenenhaus, A.; Zagury, J-F. c.; Saporta, G. and Guinot, C. Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultes. In EGC 2012, pages 555-556, Bordeaux, France, 2012. www 
  1. Bernard, A.; Tenenhaus, A.; Zagury, J-F. c.; Guinot, C. and Saporta, G. Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané. In JdS'12, pages CD-ROM Proceedings (6 pages), Bruxelles, Belgium, 2012. www 
  1. Bernard, A.; Saporta, G.; Guinot, C.; Tenenhaus, A. and Zagury, J-F. c. Méthodes multiblocs pour l?identification de gènes associés au vieillissement cutané. In JDS'2012, 44e Journ?es de Statistique, pages xx, Bruxelles, Belgium, 2012. www 
  1. Liberati, C.; Camillo, F. and Saporta, G. Kernel discrimination and explicative features: an operative approach. In Compstat 2012, pages 507-518, Limassol, Cyprus, 2012. www 
  1. Gomes, C.; Nocairi, H.; Thomas, M.; Ibanez, F.; Collin, J-F. c. and Saporta, G. Stacking prediction for a binary outcome. In Compstat 2012, pages 271-282, Limassol, Cyprus, 2012. www 
  1. Niang Keita, N.; Saporta, G. and Fogliatto, F. Contr^ole non paramétrique de procédés par lots basé sur STATIS et la classification. In Agrostat2012, 12?mes journ?es Europ?ennes Agro-Industrie et M?thodes Statistiques 28, 29 F?vrier 1-2, pages 163-169, Paris, France, 2012. www 
  1. Bernard, A.; Guinot, C. and Saporta, G. Sparse principal component analysis for multiblock data and its extension to sparse multiple correspondence analysis. In Compstat 2012, pages 99-106, Limassol, Cyprus, 2012. www 
  1. Saporta, G.; Bernard, A. and Guinot, C. A generalisation of sparse PCA to multiple correspondence analysis. In ERCIM 2012, Oviedo, Spain, 2012. www 

Divers

  1. Bernard, A.; Tenenhaus, A.; Zagury, J-F. c.; Saporta, G. and Guinot, C. Méthodes multiblocs pour l?identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultes. , Poster. www 
  1. Saporta, G. Mining Official Data: What?s New?. , Poster - Invited paper, Data Mining in Official Statistics Workshop, April 28. www 

2011

Livres

  1. Saporta, G. Probabilités, analyse des données et statistique. , 2011. www 

Articles de conférence

  1. Guizani, A.; Benammou, S. and Saporta, G. UNE M'ETHODE DE TRAITEMENT DES REFUS'ES DANS LE PROCESSUS D?OCTROI DE CR'EDIT. In 43 ?mes Journ?es de Statistique, Tunis, pages xx, Tunis, Tunisia, 2011. www 
  1. Saporta, G. and Séguéla, J. A semi-supervised recommender system to predict online job o ffer performance. In Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Beijing, China, 2011. www 
  1. Demeyer, S.; Foulley, J-L.; Fischer, N. and Saporta, G. Approche bayesienne des modèles `a équations structurelles utilisant l?expansion paramétrique. In 43 ?mes Journ?es de Statistique, Tunis, pages xx, Tunis, Tunisia, 2011. www 
  1. Séguéla, J. and Saporta, G. A comparison between latent semantic analysis and correspondence analysis. In CARME 2011 International conference on Correspondence Analysis and Related Methods, pages 20, Rennes, France, 2011. www 
  1. Séguéla, J. and Saporta, G. A Semi-Supervised Hybrid System to Enhance the Recommendation of Channels in terms of Campaign ROI. In CIKM'11, 20th ACM Conference on Information and Knowledge Management, pages 2265-2268, Glasgow, United Kingdom, 2011. www 

2010

Articles de revue

  1. Aguilera, Ana-M.; Escabias, M.; Preda, C. and Saporta, G. Using basis expansions for estimating functional PLS regression: Applications with chemometric data. In Chemometrics and Intelligent Laboratory Systems, 104: 289-305, 2010. www 
  1. Youness, G. and Saporta, G. Comparing partitions of two sets of units based on the same variables. In Advances in Data Analysis and Classification, 4: 53-64, 2010. www 
  1. Preda, C.; Saporta, G. and Hadj Mbarek, M. The NIPALS Algorithm for Missing Functional Data. In Revue roumaine de mathématiques pures et appliquées, 55: 315-326, 2010. www 

Chapitres d'ouvrage

  1. Stan, V. and Saporta, G. Conjoint Use of Variables Clustering and PLS Structural Equations Modeling. In Handbook of Partial Least Squares,, pages 235-246, 2010. www 

Articles de conférence

  1. Séguéla, J. and Saporta, G. Modèles de comptage appliqués aux décisions de candidature aux offres démploi sur le web. In 42èmes Journées de Statistique, Marseille, France, France, 2010. www 
  1. Demeyer, S.; Fischer, N. and Saporta, G. Approche bayésienne des modèles `a équations structurelles. In 42èmes Journées de Statistique, Marseille, France, France, 2010. www 
  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. Détermination du nombre de classes dans les méthodes de bipartitionnement. In 17?me Rencontres de la Soci?t? Francophone de Classification, June 2010, pages 119-122, Saint-Denis de la Réunion, Laos, 2010. www 
  1. Charrad, M.; Lechevallier, Y.; Ben Ahmed, M. and Saporta, G. On the Number of Clusters in Block Clustering Algorithms. In 23rd International FLAIRS Conference, pages 392-397, Florida, United States, AAAI , 2010. www 
  1. Benammou, S.; Souissi, B. and Saporta, G. On the use of Weighted Regression in Conjoint Analysis. In COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, pages 777-784, X, France, 2010. www 
  1. De A. T. De Carvalho, F.; Saporta, G. and N. Queiroz, D. A Clusterwise Center and Range Regression Model for Interval-Valued Data. In COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, pages 461-468, Paris, France, 2010. www 
  1. Saporta, G. Classification supervisée et données fonctionnelles. In SFC'2010, 17?mes rencontres de la Soci?t? Francophone de Classification, Saint Denis de la R?union, pages xx, X, France, 2010. www 
  1. Demeyer, S.; Fischer, N. and Saporta, G. Contributions to Bayesian Structural Equation Modeling. In COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, pages 469-476, Paris, France, 2010. www 
  1. Preda, C.; Saporta, G. and Hadj Mbarek, M. Anticipated and Adaptive Prediction in Functional Discriminant Analysis. In COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, pages 189-198, X, France, 2010. www 

Divers

  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. WCUM pour l'analyse d'un site Web. , Poster. www 
  1. Séguéla, J. and Saporta, G. Automatic Categorization of Job Postings. , Poster. www 
  1. Séguéla, J.; Saporta, G. and Le Viet, S. e-Recruitment: Detection of Relevant Keywords in the Job Offer Title. , Poster. www 

2009

Articles de revue

  1. Wang, H.; Ye, M. and Saporta, G. Classification for Multiple Linear Regression Methods. In Journal of System Simulation, 21: 7048-7056, 2009. www 

Chapitres d'ouvrage

  1. Saporta, G. and Niang Keita, N. Principal Component Analysis: application to Statistical Process Control. In Data Analysis, pages 1-23, 2009. www 

Articles de conférence

  1. Demeyer, S.; Fischer, N. and Saporta, G. Un modèle `a variables latentes pour le traitement de données hybrides issues de comparaison interlaboratoires. In 41èmes Journées de Statistique, SFdS, Bordeaux, Bordeaux, France, France, 2009. www 
  1. Niang, N.; Fogliatto, F. and Saporta, G. Contr^ole multivarié de procédés par lots `a l'aide de Statis. In 41èmes Journées de Statistique, SFdS, Bordeaux, Bordeaux, France, France, 2009. www 
  1. Niang Keita, N.; Fogliatto, F. and Saporta, G. Controle multivarié de procédés par lots `a l'aide de Statis. In 41 ?mes Journ?es de Statistique, Bordeaux, pages nn, Bordeaux, France, 2009. www 
  1. Preda, C.; Saporta, G. and Hadj Mbarek, B. PLS Regression with Functional Predictor and Missing Data. In PLS'09,6th Int. Conf. on Partial Least Squares and Related Methods, P?kin, pages 17-22, Pékin, China, 2009. www 
  1. Saporta, G. Supervised and Unsupervised Linear Methods for Functional Data Analysis. In ASMDA'09, Vilnius, pages xx, Vilnius, Lithuania, 2009. www 
  1. Wang, S.; Wang, J.; Wang, H. and Saporta, G. An Approach for PLS Regression Modeling of Functional Data. In PLS'09, 6th Int. Conf. on Partial Least Squares and Related Methods, P?kin, pages 28-33, X, France, 2009. www 
  1. Niang Keita, N.; Fogliatto, F. and Saporta, G. Batch Process Monitoring by Three-way Data Analysis Approach. In ASMDA'09, Vilnius, pages 294-298, X, France, 2009. www 
  1. Demeyer, S.; Fischer, N. and Saporta, G. Un modèle `a variables latentes pour le traitement de données hybrides issues de comparaison interlaboratoires. In 41 ?mes Journ?es de Statistique, Bordeaux, pages xx, Bordeaux, France, 2009. www 
  1. Saporta, G. Modèles pour comprendre, ou modèles pour prévoir?. In MSDM'09 , Hammamet, Tunisie, pages xx, Hammamet, Tunisia, 2009. www 
  1. Charrad, M.; Lechevallier, Y.; Ben Ahmed, M. and Saporta, G. Block clustering for web pages categorization. In Intelligent Data Engineering and Automated Learning - IDEAL 2009, pages 260-267, Burgos, Spain, Lecture Notes in Computer Science 5788, 2009. www 
  1. Charrad, M.; Ben Ahmed, M.; Lechevallier, Y. and Saporta, G. Determining the number of clusters in CROKI2 algorithm. In MSDM'09 Meeting on Statistics and Data Mining, pages 143-148, Hammamet, Tunisia, 2009. www 

Divers

  1. Charrad, M.; Lechevallier, Y.; Saporta, G. and Ben Ahmed, M. Détermination du nombre des classes dans l'algorithme CROKI2 de classification croisée. , Poster. www 

2008

Articles de revue

  1. Vichi, M. and Saporta, G. Clustering and Disjoint Principal Component Analysis. In Computational Statistics and Data Analysis, 53: 3194-3208, 2008. www 

Articles de conférence

  1. Charrad, M.; Saporta, G.; Lechevallier, Y. and Ben Ahmed, M. Le bi-partitionnement : Etat de l’art sur les approches et les algorithmes. In Ecol'IA'08, Hammamet, Tunisia, 2008. www 
  1. Bacelar-Nicolau, H.; Saporta, G. and Lorga da Silva, A. Multiple Imputation and Multidimensional Scaling Applied to a k-means Method. In COMPSTAT'08, Porto, Portugal, pages xx, X, France, 2008. www 
  1. Saporta, G. Models for Understanding versus Models for Prediction. In COMPSTAT'08, Porto, Portugal, pages 315-322, X, France, 2008. www 
  1. Ohannessian, S. and Saporta, G. Zero option in conjoint analysis, A new specification of the indecision and the refusal. In SIS'08, Univ. Calabria, pages xx, Cosenza, Italy, 2008. www 
  1. Saporta, G. and Preda, C. Adaptive Forecasting on Functional Data. In SIS'08, Univ. Calabria, pages xx, X, France, 2008. www 

Divers

  1. Bertrand, P. and Gilbert, S. Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis. , Editorial. doi  www 

2007

Articles de revue

  1. Benammou, S.; Saporta, G. and Souissi, B. Une procédure de réduction du nombre de paires en analyse conjointe. In Journal de la Societe Franc caise de Statistique, 148: 57-76, 2007. www 
  1. Preda, C.; Saporta, G. and Leveder, C. PLS classification of functional data. In Wiley Interdisciplinary Reviews: Computational Statistics, 22: 223-235, 2007. www 
  1. Tenenhaus, A.; Giron, A.; Viennet, E.; Béra, M.; Saporta, G. and Fertil, B. Kernel logistic PLS: a tool for supervised nonlinear dimensionality reduction and binary classification. In Computational Statistics and Data Analysis, 51 (9): 4083-4100, 2007. www 
  1. Plasse, M.; Niang Keita, N.; Saporta, G.; Villeminot, A. and Leblond, L. Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set. In Computational Statistics and Data Analysis, 52: 596-613, 2007. www 

Chapitres d'ouvrage

  1. Preda, C. and Saporta, G. PCR and PLS for Clusterwise Regression on Functional Data. In Selected Contributions in Data Analysis and Classification, pages 589-598, 2007. www 

Articles de conférence

  1. Saporta, G. Model Selection and Predictive Inference. In Trends and Challenges in Applied Mathematics, Bucarest, pages 92-96, X, France, 2007. www 
  1. Saporta, G. Discriminant analysis on functional data. In XV Congresso Annual da Sociedade Portuguesa de Estadistica, Lisbonne, pages xx, Lisbonne, Portugal, 2007. www 
  1. Saporta, G. Lénseignement `a distance en statistique. In 39 ?mes Journ?es de Statistique, Angers, France, pages xx, X, France, 2007. www 
  1. Jakobowicz, E. and Saporta, G. A nonlinear PLS path modeling based on monotonic B-spline transformations. In PLS'07 - 5th Int. symposium on PLS and related methods, Matforsk, Aas, Norv?ge, pages 112-115, X, France, 2007. www 
  1. Niang Keita, N. and Saporta, G. Resampling ROC curves. In IASC'07 International Association for Statistical Computing, Aveiro, Portugal, pages xx, X, France, 2007. www 
  1. Giordano, G. and Saporta, G. The Response Surface as Explorative Tool in Multiple Correspondence Analysis. In CARME'07, Correspondence Analysis and Related Methods, Rotterdam, pages xx, Rotterdam, Netherlands, 2007. www 
  1. Saporta, G.; Costanzo, D. and Preda, C. Linear methods for regression and classification with functional data. In IASC-ARS'07 special Conf., pages xx, Séoul, Colombia, 2007. www 

Divers

  1. Wang, J.; Wang, H. and Saporta, G. Discussion on Importance of Variable Selection in PLS1 Modeling. , Poster. www 

2006

Livres

  1. Saporta, G. Probabilités, Analyse des données et statistique. , 2006. www 

Chapitres d'ouvrage

  1. Saporta, G. Epidémiologie et Data Mining. In L'épidémiologie humaine,, pages 129-136, 2006. www 
  1. Saporta, G. and Niang Keita, N. Correspondence analysis and classification. In Multiple Correspondence Analysis and Related Methods, pages 371-392, 2006. www 

Articles de conférence

  1. Plasse, M.; Niang Keita, N. and Saporta, G. Classification préalable `a la recherche de règles d'association. In RIAS'06 Rencontres Inter-Associations sur le thème de la classification, Lyon, France, pages 1, X, France, 2006. www 
  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Dealing with missing data in a k-means method - A simulation based approach. In COMPSTAT 2006, pages 182, X, Italy, 2006. www 
  1. Plasse, M.; Niang Keita, N.; Saporta, G.; Villeminot, A. and Leblond, L. Méthodes de classification pour léxtraction de règles. In SFC'06 Rencontres de la Société Francophone de Classification, Metz, France, pages 4, X, France, 2006. www 
  1. Costanzo, D.; Preda, C. and Saporta, G. Anticipated prediction in discriminant analysis on functional data for binary response. In COMPSTAT'06, 17th Symposium on Computational Statistics, Rome, pages 821-828, X, France, 2006. www 
  1. Stan, V. and Saporta, G. Une comparaison expérimentale entre les approches PLS et LISREL. In 38 èmes Journées de Statistique, Clamart, France, X, France, 2006. www 
  1. Saporta, G. Statistical Methods and Credit Scoring. In JOCLAD'06, Lisbonne, X, France, 2006. www 
  1. Plasse, M.; Niang Keita, N.; Saporta, G. and Leblond, L. Une comparaison de certains indices de pertinence des règles d'association. In RNTI'06, pages 561-568, X, France, 2006. www 
  1. Saporta, G. Credit scoring, statistique et apprentissage. In EGC'06, Lille, France, X, France, 2006. www 

2005

Articles de revue

  1. Preda, C. and Saporta, G. Clusterwise PLS regression on a stochastic process. In Computational Statistics and Data Analysis, 49: 99-108, 2005. www 
  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In Computational Statistics and Data Analysis, 48: 149-158, 2005. www 

Chapitres d'ouvrage

  1. Saporta, G. Les classes latentes. In Les classes latentes, pages 71-82, 2005. www 

Articles de conférence

  1. Plasse, M.; Niang Keita, N.; Saporta, G. and Gauthier, D. Combined use of association rules mining and clustering methods. In 3rd world Conf. on Computational Statistics Data Analysis, Limassol, Chypre, X, France, 2005. www 
  1. Saporta, G. Some Statistical Aspects of Credit Scoring. In 3rd world Conf. on Computational Statistics Data Analysis, Limassol, Chypre, X, France, 2005. www 
  1. Preda, C.; Saporta, G. and Leveder, C. PLS classification of functional data. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelona, Spain, X, France, 2005. www 
  1. Stan, V. and Saporta, G. Conjoint use of variables clustering and PLS structural equations modelling. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelona, Spain, X, France, 2005. www 
  1. Rivi?re, P.; Saporta, G.; Pag?s, J. and Monrozier, R. Kano’s satisfaction model applied to External Preference Mapping : a new way to handle non linear relationships between hedonic evaluations and product characteristics. In PLS'05 4th Int. Symp. on PLS and related methods, Barcelona, Spain, X, France, 2005. www 
  1. Stan, V. and Saporta, G. Une étude comparative de logiciels de prévision automatique de séries chronologiques. In 37 èmes Journées de Statistique, Pau, X, France, 2005. www 
  1. Plasse, M.; Niang Keita, N. and Saporta, G. Utilisation conjointe des règles d'association et de la classification de variables. In 37 èmes Journées de Statistique, Pau, X, France, 2005. www 
  1. Tenenhaus, A.; Giron, A.; Saporta, G. and Fertil, B. Kernel logistic PLS: a new tool for complex classification. In ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis. Brest, France, pages 441-451, X, France, 2005. www 
  1. Stan, V. and Saporta, G. Customer satisfaction and PLS structural equation modeling. An application to automobile market. In ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis. Brest, France, pages 756-763, X, France, 2005. www 
  1. Preda, C. and Saporta, G. PLS discriminant analysis for functional data. In ASMDA'05 XIth Int. Symp. on Applied Stochastic Models and Data Analysis, Brest, pages 653-661, X, France, 2005. www 

2004

Articles de revue

  1. Youness, G. and Saporta, G. Une Méthodologie pour la Comparaison de Partitions. In Revue de Statistique Appliquée, 52: 97-120, 2004. www 
  1. Youness, G. and Saporta, G. Some Measures of Agreement Between Close Partitions. In Student, 5: 1-12, 2004. www 

Articles de conférence

  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Coefficiente de affinidade em classificac c~ao com dados omissos. In JOCLAD 2004, X, France, 2004. www 
  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Missing Data and Imputation Methods in Partition of Variables. In Classification, Clustering and Data Mining Applications, D.Banks et al. editors,, pages 631-637, X, France, Studies in Classification, Data Analysis, , 2004. www 
  1. Saporta, G. and Bourdeau, M. The St@tNet Project for Teaching Statistics. In COMPSTAT 2004, X, France, 2004. www 
  1. Preda, C. and Saporta, G. PLS Approach for clusterwise linear regression on functional data. In Classification, Clustering and Data Mining Applications, D.Banks et al. editors,, pages 167-176, X, France, 2004. www 

2003

Articles de revue

  1. Benammou, S. and Saporta, G. On the Connection Between the Distribution of Eigenvalues in Multiple Correspondence Analysis and Log-Linear Models. In REVSTAT - Statistical Journal, 1: 42-79, 2003. www 
  1. Benammou, S.; Harbi, S. and Saporta, G. Sur l'utilisation de l'analyse conjointe en cas de réponses incomplètes ou de non-réponses. In Revue de Statistique Appliquée, 51: 31-55, 2003. www 

Chapitres d'ouvrage

  1. Saporta, G. and Niang Keita, N. Analyse en composantes principales, Hermes. In ''Analyse des données'', pages 19-42, 2003. www 

Articles de conférence

  1. Benammou, S. and Saporta, G. On the connection between the distribution of eigenvalues in multiple correspondence analysis and log-linear analysis. In CARME2003, X, France, 2003. www 
  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Classification hiérarchique ascendante avec imputation multiple des données manquantes. In SFC 03, X, France, 2003. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Efeito de um Método de Imputac c~ao M'ultipla em Classificac c~ao Hier'arquica de Vari'aveis. In JOCLAD 2003: X Jornadas de Classificac c~ao e An'alise de Dados, X, France, 2003. www 
  1. Saporta, G. Correspondence Analysis and Discrimination. In CARME2003, X, France, 2003. www 
  1. Saporta, G. and Bourdeau, M. St@tNet: an assessment and new developments. In IASE Satellite Conference on Statistics Education and the Internet, X, France, 2003. www 
  1. Saporta, G. A control chart approach to select eigenvalues in principal component and correspondence analysis. In 54th Session of the International Statistical Institute, X, France, 2003. www 
  1. Youness, G. and Saporta, G. Sur des indices de comparaison de deux classifications. In SFC03, X, France, 2003. www 

2002

Articles de conférence

  1. Lorga da Silva, A.; Saporta, G. and Bacelar-Nicolau, H. Dados omissos em Classificac c~ao hier'arquica de vari'aveis e o algoritmo NIPALS. In JOCLAD 2002, X, France, 2002. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Missing Data in Hierarchical Classification of Variables, a simulation study. In IFCS 2002, X, France, 2002. www 
  1. Saporta, G. and Youness, G. Comparing two partitions: Some Proposals and Experiments. In COMPSTAT 2002, Berlin, Germany, 2002. www 
  1. Saporta, G. St@tNet, An Internet Based Software For Teaching Introductory Statistics,. In ICOTS 6, X, France, 2002. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. Méthode multivariée de fusion statistique de fichiers de données appliquée au marché résidentiel de l'électricité. In 3ème Colloque Francophone sur les Sondages, X, France, 2002. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. Méthode multivariée de fusion statistique de fichiers appliquée au marché résidentiel de l'électricité. In 34 èmes Journées de Statistique ( Bruxelles Louvain), X, France, 2002. www 
  1. Preda, C. and Saporta, G. Clusterwise PLS regression on a stochastic process. In COMPSTAT 2002, X, France, 2002. www 

2001

Articles de conférence

  1. Karlis, D.; Saporta, G.; Jaupi, L.; Gonzalez, P-L.; Samiotakis, I. and Spinakis, A. ON A STATISTICAL PACKAGE FOR NON-EXPERT USERS. In ETK-NTTS 2001, Crete, Greece, 2001. www 
  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In ASMDA'01, X, France, 2001. www 
  1. Fischer, N.; Derquenne, C. and Saporta, G. A new Method to Match Data Sets Applied to Electric Market. In NTTS-ETK 2001, Crète, X, France, 2001. www 
  1. Preda, C. and Saporta, G. Régression PLS sur un processus stochastique. In 33 èmes Journées de Statistique, Nantes, X, France, 2001. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H.; Saporta, G. and Geada, M. Missing Data in Hierarchical Classification, a study with personality development data. In EMPG 2001, X, France, 2001. www 
  1. Saporta, G. and Youness, G. Concordance entre deux partitions: quelques propositions et expériences. In SFC 2001, X, France, 2001. www 
  1. Lorga da Silva, A.; Bacelar-Nicolau, H. and Saporta, G. Missing Data in Hierarchical Classification - a study. In ASMDA 2001, X, France, 2001. www 
  1. Preda, C. and Saporta, G. PLS regression on a stochastic process. In PLS'01, X, France, 2001. www 

2000

Articles de conférence

  1. Saporta, G. Data Fusion and Data grafting. In NMDM2000, X, France, 2000. www 
  1. Saporta, G. Teaching Statistics with Internet: Available Resources and the St@tNet Project. In EADTU2000, X, France, 2000. www 
  1. Fischer, N. and Saporta, G. Fusion et greffes de données. In 5èmes Journées Modulad, X, France, 2000. www 
  1. Saporta, G. Data Mining and Official Statistics. In Quinta Conferenza Nationale di Statistica, pages 41-46, X, France, 2000. www 

1999

Chapitres d'ouvrage

  1. Saporta, G. and Co, V. Fusion de fichiers : une nouvelle méthode basée sur l'analyse homogène. In G. Brossier, A.M. Dussaix (éditeurs) Enq, 1999. www 
  1. Bouroche, J-M. and Saporta, G. L'analyse des données. In hors série Les Mathématiques sociales, P, 1999. www 

Articles de conférence

  1. Saporta, G. Teaching Statistics with Internet: a Survey of Available Resources and the St@tNet Project. In ISI99, X, France, 1999. www 
  1. Saporta, G. Some simple rules for interpreting outputs of principal components and correspondence analysis. In ASMDA99, X, France, 1999. www 

Divers

  1. Saporta, G. Rapport de l'académie des sciences sur la statistique. www 

1998

Articles de conférence

  1. Morin, A.; Saporta, G. and Spinakis, A. Computer assisted training in statistics : internet and multimedia : a survey of existing tools. In NTTS 1998, pages 339-344, Sorrento, Italy, 1998. www 

1983

Articles de conférence

  1. Gautier, J-M. and Saporta, G. Méthodes non paramétrique en analyse discriminante - quelques propositions nouvelles. In 3e Journées Internationales d'Analyse des Données et Informatique, INRIA, pages NC, France, 1983. www 

1982

Articles de conférence

  1. Gautier, J-M. and Saporta, G. About fuzzy discrimination. In Compstat, pages NC, Physical Verlag, France, 1982. www 

1981

Thèses

  1. Saporta, G. Exploratory analysis of longitudinal data. Ph.D. Thesis, Université Pierre et Marie Curie - Paris VI, 1981.

1979

Articles de conférence

  1. Gautier, J-M. and Saporta, G. Une méthodologie d'analyse discriminante sur variables qualitatives. In 2e Congrès AFCET-INRIA, pages NC, France, 1979. www 

1975

Thèses

  1. Saporta, G. Relationships between several sets of variables and scaling of categorical data. Ph.D. Thesis, Université Pierre et Marie Curie - Paris VI, 1975.
Top