Fusion et greffes de données. - Gilbert Saporta; Nicolas Fischer (Monde des Util. Anal. Données, 2001)

Comparing Two Partitions: Some Proposals and Experiments. - Gilbert Saporta; Genane Youness (COMPSTAT, 2002)

PLS regression on a stochastic process. - Cristian Preda; Gilbert Saporta (Comput. Stat. Data Anal., 2005)

Clusterwise PLS regression on a stochastic process. - Cristian Preda; Gilbert Saporta (Comput. Stat. Data Anal., 2005)

Une comparaison de certains indices de pertinence des règles d'association. - Marie Plasse; Ndèye Niang; Gilbert Saporta; Laurent Leblond (EGC, 2006)

Credit scoring, statistique et apprentissage. - Gilbert Saporta (EGC, 2006)

Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set. - Marie Plasse; Ndèye Niang; Gilbert Saporta; Alexandre Villeminot; Laurent Leblond (Comput. Stat. Data Anal., 2007)

Kernel logistic PLS: A tool for supervised nonlinear dimensionality reduction and binary classification. - Arthur Tenenhaus; Alain Giron; Emmanuel Viennet; Michel Béra; Gilbert Saporta; Bernard Fertil (Comput. Stat. Data Anal., 2007)

PLS classification of functional data. - Cristian Preda; Gilbert Saporta; Caroline Lévéder (Comput. Stat., 2007)

Web Content Data Mining : la classification croisée pour l'analyse textuelle d'un site Web. - Malika Charrad; Yves Lechevallier; Gilbert Saporta; Mohamed Ben Ahmed (EGC, 2008)

Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis. - Patrice Bertrand; Gilbert Saporta (Comput. Stat. Data Anal., 2008)

Détermination du nombre des classes dans l'algorithme CROKI de classification croisée. - Malika Charrad; Yves Lechevallier; Gilbert Saporta; Mohamed Ben Ahmed (EGC, 2009)

Block Clustering for Web Pages Categorization. - Malika Charrad; Yves Lechevallier; Mohamed Ben Ahmed; Gilbert Saporta (IDEAL, 2009)

Clustering and disjoint principal component analysis. - Maurizio Vichi; Gilbert Saporta (Comput. Stat. Data Anal., 2009)

A Clusterwise Center and Range Regression Model for Interval-Valued Data. - Francisco de A. T. de Carvalho; Gilbert Saporta; Danilo N. Queiroz (COMPSTAT, 2010)

Contributions to Bayesian Structural Equation Modeling. - Séverine Demeyer; Nicolas Fischer; Gilbert Saporta (COMPSTAT, 2010)

List of Supplementary Contributed and Invited Papers Only Available on springerlink.com. - Yves Lechevallier; Gilbert Saporta (COMPSTAT, 2010)

Anticipated and Adaptive Prediction in Functional Discriminant Analysis. - Cristian Preda; Gilbert Saporta; Mohamed Hadj Mbarek (COMPSTAT, 2010)

WCUM pour l'analyse d'un site web. - Malika Charrad; Yves Lechevallier; Mohamed Ben Ahmed; Gilbert Saporta (EGC, 2010)

On the Number of Clusters in Block Clustering Algorithms. - Malika Charrad; Yves Lechevallier; Mohamed Ben Ahmed; Gilbert Saporta (FLAIRS, 2010)

Comparing partitions of two sets of units based on the same variables. - Genane Youness; Gilbert Saporta (Adv. Data Anal. Classif., 2010)

A semi-supervised hybrid system to enhance the recommendation of channels in terms of campaign roi. - Julie Séguéla; Gilbert Saporta (CIKM, 2011)

A hybrid recommender system to predict online job offer performance. - Julie Séguéla; Gilbert Saporta (HDSDA, 2011)

Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultes. - Anne Bernard; Arthur Tenenhaus; Jean-François Zagury; Gilbert Saporta; Christiane Guinot (EGC, 2012)

A simple and robust scoring technique for binary classification. - Charles Gomes; Hisham Noçairi; Marie Thomas; Jean-François Collin; Gilbert Saporta (Artif. Intell. Res., 2014)

Data Mining and Official Statistics: The Past, the Present and the Future. - Hossein Hassani 002; Gilbert Saporta; Emmanuel Sirimal Silva (Big Data, 2014)

Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis. - Caterina Liberati; Furio Camillo; Gilbert Saporta (Adv. Data Anal. Classif., 2017)

Variable selection for multiply-imputed data with penalized generalized estimating equations. - Julia Geronimi; Gilbert Saporta (Comput. Stat. Data Anal., 2017)

Clusterwise analysis for multiblock component methods. - Stéphanie Bougeard; Hervé Abdi; Gilbert Saporta; Ndèye Niang (Adv. Data Anal. Classif., 2018)

Training data scientists: a few challenges. - Gilbert Saporta (Int. J. Data Sci. Anal., 2018)

Incremental modelling for compositional data streams. - Yuan Wei; Huiwen Wang; Shanshan Wang 005; Gilbert Saporta (Commun. Stat. Simul. Comput., 2019)

Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization. - Huiwen Wang; Ruiping Liu; Shanshan Wang 005; Zhichao Wang; Gilbert Saporta (Comput. Stat., 2020)

A robust spatial autoregressive scalar-on-function regression with t-distribution. - Tingting Huang; Gilbert Saporta; Huiwen Wang; Shanshan Wang 005 (Adv. Data Anal. Classif., 2021)

Une revue systématique de la littérature autour du biais, de l'équité et de l'explicabilité. - Mouhamadou-Lamine Ndao; Genane Youness; Ndèye Niang; Gilbert Saporta (CNIA, 2023)

Sparse correspondence analysis for large contingency tables. - Ruiping Liu; Ndèye Niang; Gilbert Saporta; Huiwen Wang (Adv. Data Anal. Classif., 2023)

Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness. - Mouhamadou-Lamine Ndao; Genane Youness; Ndèye Niang; Gilbert Saporta (FLAIRS, 2024)

Special issue on "New methodologies in clustering and classification for complex and/or big data". - Paula Brito; Andrea Cerioli; Luis Angel García-Escudero; Gilbert Saporta (Adv. Data Anal. Classif., 2024)

Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods. - Mouhamadou-Lamine Ndao; Genane Youness; Ndèye Niang; Gilbert Saporta (Eng. Appl. Artif. Intell., 2025)