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2020 – today
- 2025
[j21]Mouhamadou-Lamine Ndao
, Genane Youness, Ndeye Niang, Gilbert Saporta:
Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods. Eng. Appl. Artif. Intell. 144: 110144 (2025)- 2024
- [j20]Paula Brito, Andrea Cerioli, Luis Angel García-Escudero, Gilbert Saporta:
Special issue on "New methodologies in clustering and classification for complex and/or big data". Adv. Data Anal. Classif. 18(3): 539-543 (2024) - [c17]Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta:
Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness. FLAIRS 2024 - 2023
- [j19]Ruiping Liu, Ndeye Niang, Gilbert Saporta, Huiwen Wang:
Sparse correspondence analysis for large contingency tables. Adv. Data Anal. Classif. 17(4): 1037-1056 (2023) - [c16]Mouhamadou-Lamine Ndao, Genane Youness, Ndèye Niang, Gilbert Saporta:
Une revue systématique de la littérature autour du biais, de l'équité et de l'explicabilité. CNIA 2023: 87-98 - 2021
- [j18]Tingting Huang, Gilbert Saporta, Huiwen Wang, Shanshan Wang:
A robust spatial autoregressive scalar-on-function regression with t-distribution. Adv. Data Anal. Classif. 15(1): 57-81 (2021) - 2020
- [j17]Huiwen Wang, Ruiping Liu, Shanshan Wang, Zhichao Wang, Gilbert Saporta:
Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization. Comput. Stat. 35(3): 1153-1170 (2020)
2010 – 2019
- 2019
- [j16]Yuan Wei, Huiwen Wang, Shanshan Wang, Gilbert Saporta:
Incremental modelling for compositional data streams. Commun. Stat. Simul. Comput. 48(8): 2229-2243 (2019) - 2018
- [j15]Stéphanie Bougeard, Hervé Abdi, Gilbert Saporta, Ndeye Niang:
Clusterwise analysis for multiblock component methods. Adv. Data Anal. Classif. 12(2): 285-313 (2018) - [j14]Gilbert Saporta:
Training data scientists: a few challenges. Int. J. Data Sci. Anal. 6(3): 201-204 (2018) - 2017
- [j13]Caterina Liberati, Furio Camillo, Gilbert Saporta:
Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis. Adv. Data Anal. Classif. 11(1): 121-138 (2017) - [j12]Julia Geronimi, Gilbert Saporta:
Variable selection for multiply-imputed data with penalized generalized estimating equations. Comput. Stat. Data Anal. 110: 103-114 (2017) - 2014
- [j11]Charles Gomes, Hisham Noçairi, Marie Thomas, Jean-François Collin, Gilbert Saporta:
A simple and robust scoring technique for binary classification. Artif. Intell. Res. 3(1): 52-58 (2014) - [j10]Hossein Hassani, Gilbert Saporta, Emmanuel Sirimal Silva:
Data Mining and Official Statistics: The Past, the Present and the Future. Big Data 2(1): 34-43 (2014) - 2013
- [e3]Yves Lechevallier, Gilbert Saporta, Rong Guan, Huiwen Wang:
Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, HDSDA 2011, October 27-30, 2011, Beihang University, Beijing, China. RNTI E-25, Hermann-Éditions 2013 [contents] - 2012
- [c15]Anne Bernard, Arthur Tenenhaus, Jean-François Zagury, Gilbert Saporta, Christiane Guinot:
Méthodes multiblocs pour l'identification de gènes associés au vieillissement cutané chez 502 femmes caucasiennes adultes. EGC 2012: 555-556 - 2011
- [c14]Julie Séguéla, Gilbert Saporta:
A semi-supervised hybrid system to enhance the recommendation of channels in terms of campaign roi. CIKM 2011: 2265-2268 - [c13]Julie Séguéla, Gilbert Saporta:
A hybrid recommender system to predict online job offer performance. HDSDA 2011: 177-197 - 2010
- [j9]Genane Youness, Gilbert Saporta:
Comparing partitions of two sets of units based on the same variables. Adv. Data Anal. Classif. 4(1): 53-64 (2010) - [c12]Cristian Preda, Gilbert Saporta, Mohamed Hadj Mbarek:
Anticipated and Adaptive Prediction in Functional Discriminant Analysis. COMPSTAT 2010: 189-198 - [c11]Francisco de A. T. de Carvalho, Gilbert Saporta, Danilo N. Queiroz:
A Clusterwise Center and Range Regression Model for Interval-Valued Data. COMPSTAT 2010: 461-468 - [c10]Séverine Demeyer, Nicolas Fischer, Gilbert Saporta:
Contributions to Bayesian Structural Equation Modeling. COMPSTAT 2010: 469-476 - [c9]Yves Lechevallier, Gilbert Saporta:
List of Supplementary Contributed and Invited Papers Only Available on springerlink.com. COMPSTAT 2010: 605-616 - [c8]Malika Charrad, Yves Lechevallier, Mohamed Ben Ahmed, Gilbert Saporta:
WCUM pour l'analyse d'un site web. EGC 2010: 669-672 - [c7]Malika Charrad, Yves Lechevallier, Mohamed Ben Ahmed, Gilbert Saporta:
On the Number of Clusters in Block Clustering Algorithms. FLAIRS 2010 - [e2]Yves Lechevallier, Gilbert Saporta:
19th International Conference on Computational Statistics, COMPSTAT 2010, Paris, France, August 22-27, 2010 - Keynote, Invited and Contributed Papers. Physica-Verlag 2010, ISBN 978-3-7908-2603-6 [contents]
2000 – 2009
- 2009
- [j8]Maurizio Vichi, Gilbert Saporta:
Clustering and disjoint principal component analysis. Comput. Stat. Data Anal. 53(8): 3194-3208 (2009) - [c6]Malika Charrad, Yves Lechevallier, Gilbert Saporta, Mohamed Ben Ahmed:
Détermination du nombre des classes dans l'algorithme CROKI de classification croisée. EGC 2009: 447-448 - [c5]Malika Charrad, Yves Lechevallier, Mohamed Ben Ahmed, Gilbert Saporta:
Block Clustering for Web Pages Categorization. IDEAL 2009: 260-267 - 2008
- [j7]Patrice Bertrand, Gilbert Saporta:
Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis. Comput. Stat. Data Anal. 52(6): 3164-3166 (2008) - [c4]Malika Charrad, Yves Lechevallier, Gilbert Saporta, Mohamed Ben Ahmed:
Web Content Data Mining : la classification croisée pour l'analyse textuelle d'un site Web. EGC 2008: 43-54 - 2007
- [j6]Arthur Tenenhaus, Alain Giron, Emmanuel Viennet, Michel Béra, Gilbert Saporta, Bernard Fertil:
Kernel logistic PLS: A tool for supervised nonlinear dimensionality reduction and binary classification. Comput. Stat. Data Anal. 51(9): 4083-4100 (2007) - [j5]Marie Plasse, Ndeye Niang, Gilbert Saporta, Alexandre Villeminot, Laurent Leblond:
Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set. Comput. Stat. Data Anal. 52(1): 596-613 (2007) - [j4]Cristian Preda, Gilbert Saporta, Caroline Lévéder:
PLS classification of functional data. Comput. Stat. 22(2): 223-235 (2007) - [e1]Farid Beninel, Michel Béra, Christian Partrat, Gilbert Saporta:
Data Mining et Apprentissage Statistique : application en assurance, banque et marketing, Niort, France, 12-13 Mai 2005. RNTI A-1, Cépaduès-Éditions 2007, ISBN 978-2-85428-794-3 [contents] - 2006
- [c3]Gilbert Saporta:
Credit scoring, statistique et apprentissage. EGC 2006: 3-4 - [c2]Marie Plasse, Ndeye Niang, Gilbert Saporta, Laurent Leblond:
Une comparaison de certains indices de pertinence des règles d'association. EGC 2006: 561-568 - 2005
- [j3]Cristian Preda, Gilbert Saporta:
PLS regression on a stochastic process. Comput. Stat. Data Anal. 48(1): 149-158 (2005) - [j2]Cristian Preda, Gilbert Saporta:
Clusterwise PLS regression on a stochastic process. Comput. Stat. Data Anal. 49(1): 99-108 (2005) - 2002
- [c1]Gilbert Saporta, Genane Youness:
Comparing Two Partitions: Some Proposals and Experiments. COMPSTAT 2002: 243-248 - 2001
- [j1]Gilbert Saporta, Nicolas Fischer:
Fusion et greffes de données. Monde des Util. Anal. Données 27: 43-66 (2001)
Coauthor Index
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