Search Results - "Saporta, Gilbert"

A Conversation with Jean-Louis Bodin.

Authors: Saporta, Gilbert¹ gilbert.saporta@cnam.fr

Source: International Statistical Review. Apr2015, Vol. 83 Issue 1, p2-16. 15p.

A Simple Rule for the Selection of Principal Components.

Authors: Karlis, Dimitris Saporta, Gilbert Spinakis, Antonis

Source: Communications in Statistics: Theory & Methods. Mar2003, Vol. 32 Issue 3, p643-666. 24p. 9 Charts.

Incremental modelling for compositional data streams.

Authors: Wei, Yuan Wang, Huiwen Wang, Shanshan et al.

Source: Communications in Statistics: Simulation & Computation; 2019, Vol. 48 Issue 8, p2229-2243, 15p

Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods.

Authors: Ndao, Mouhamadou Lamine Youness, Genane Niang, Ndeye et al.

Source: Engineering Applications of Artificial Intelligence; Mar2025, Vol. 144, pN.PAG-N.PAG, 1p

Spatial partial least squares autoregression: Algorithm and applications.

Authors: Wang, Huiwen Gu, Jie Wang, Shanshan et al.

Source: Chemometrics & Intelligent Laboratory Systems; Jan2019, Vol. 184, p123-131, 9p

Clustering and disjoint principal component analysis

Authors: Vichi, Maurizio Saporta, Gilbert

Source: Computational Statistics & Data Analysis. Jun2009, Vol. 53 Issue 8, p3194-3208. 15p.

Subjects: Cluster analysis (Statistics), Principal components analysis, Constrained optimization, Mathematical variables, Analysis of variance, Least squares

Data fusion and data grafting

Authors: Saporta, Gilbert¹ saporta@cnam.fr

Source: Computational Statistics & Data Analysis. Feb2002, Vol. 38 Issue 4, p465. 9p.

Subjects: Statistical matching, Data analysis

Statistical sampling applied to the radiological characterization of historical waste.

Authors: Zaffora, Biagio Magistris, Matteo Saporta, Gilbert et al.

Source: EPJ Nuclear Sciences & Technologies; 2016, Vol. 2, p1-11, 11p

Using basis expansions for estimating functional PLS regression: Applications with chemometric data

Authors: Aguilera, Ana M. Escabias, Manuel Preda, Cristian et al.

Source: Chemometrics & Intelligent Laboratory Systems; Dec2010, Vol. 104 Issue 2, p289-305, 17p

Preface.

Authors: Saporta, Gilbert Skiadas, ChristosH.

Source: Communications in Statistics: Theory & Methods. 2011, Vol. 40 Issue 16, p2821-2822. 2p.

Editorial.

Authors: Saporta, Gilbert Bera, Michel

Source: Applied Stochastic Models in Business & Industry. Mar/Apr2005, Vol. 21 Issue 2, p95-96. 2p.

Some Recent Trends in Applied Stochastic Modeling and Multidimensional Data Analysis

Authors: Bertrand, Patrice Saporta, Gilbert

Source: Computational Statistics & Data Analysis. Feb2008, Vol. 52 Issue 6, p3164-3166. 3p.

ON THE PERFORMANCE OF PEELING ALGORITHMS.

Authors: Petitjean, Michel Saporta, Gilbert

Source: Applied Stochastic Models & Data Analysis. Jun92, Vol. 8 Issue 2, p91-98. 8p.

Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?

Authors: Ruggeri, Fabrizio Banks, David Cleveland, William S. et al.

Source: Applied Stochastic Models in Business & Industry. Mar/Apr2025, Vol. 41 Issue 2, p1-27. 27p.

Explainable Remaining Useful Life Prediction Using Interpretable Divisive Feature Clustering.

Authors: Ndao, Mouhamadou Lamine Youness, Genane Niang, Ndèye et al.

Source: Applied Stochastic Models in Business & Industry. Mar2026, Vol. 42 Issue 2, p1-19. 19p.

MANIFESTE POUR UNE INTELLIGENCE ARTIFICIELLE COMPRISE ET RESPONSABLE.

Authors: Aimetti, Jean paul Coppet, Olivier Saporta, Gilbert

Source: Revue des Sciences de Gestion. 2022, Issue 313, p52-52. 1p.

Ultra-high dimensional variable screening via Gram–Schmidt orthogonalization.

Authors: Wang, Huiwen Liu, Ruiping Wang, Shanshan et al.

Source: Computational Statistics. Sep2020, Vol. 35 Issue 3, p1153-1170. 18p.

Work-related psychosocial risk factors and psychiatric disorders: A cross-sectional study in the French working population.

Authors: Chevance, Astrid M. Daouda, Oumou S. Salvador, Alexandre et al.

Source: PLoS ONE. 5/26/2020, Vol. 15 Issue 5, p1-14. 14p.

Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set

Authors: Plasse, Marie Niang, Ndeye Saporta, Gilbert et al.

Source: Computational Statistics & Data Analysis. Sep2007, Vol. 52 Issue 1, p596-613. 18p.

Subjects: Matrices (Mathematics), Automobile industry, Algebra, Data analysis

How to Identify and Prioritize Psychosocial Factors Impacting Stress Level.

Authors: Hocine, Mounia N. Aït Bouziad, Karim Légeron, Patrick et al.

Source: PLoS ONE. 6/15/2016, Vol. 11 Issue 6, p1-11. 11p.