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ORCIDJean-Michel Poggi
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2020 – today
- 2024
[j21]Ron S. Kenett
, Chris Gotwalt, Jean-Michel Poggi:
An analytic journey in an industrial classification problem: How to use models to sharpen your questions. Qual. Reliab. Eng. Int. 40(2): 803-818 (2024)- [j20]Mathias Bourel, Jairo Cugliari, Yannig Goude, Jean-Michel Poggi:
Boosting diversity in regression ensembles. Stat. Anal. Data Min. 17(1) (2024) - [i2]Guillaume Principato, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi, Gilles Stoltz:
Conformal Prediction for Hierarchical Data. CoRR abs/2411.13479 (2024) - 2021
- [j19]Avner Bar-Hen, Servane Gey, Jean-Michel Poggi:
Spatial CART classification trees. Comput. Stat. 36(4): 2591-2613 (2021) - [j18]Anestis Antoniadis, Sophie Lambert-Lacroix, Jean-Michel Poggi:
Random forests for global sensitivity analysis: A selective review. Reliab. Eng. Syst. Saf. 206: 107312 (2021) - [c3]Yvenn Amara-Ouali, Pascal Massart, Jean-Michel Poggi, Yannig Goude, Hui Yan:
A review of electric vehicle charging session open data: Poster. e-Energy 2021: 278-279 - 2020
- [j17]Benjamin Goehry, Yannig Goude, Pascal Massart, Jean-Michel Poggi:
Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting. IEEE Trans. Smart Grid 11(3): 1895-1904 (2020)
2010 – 2019
- 2019
- [j16]Neska El Haouij, Raja Ghozi, Jean-Michel Poggi, Sylvie Sevestre-Ghalila, Mériem Jaïdane:
Self-similarity analysis of vehicle driver's electrodermal activity. Qual. Reliab. Eng. Int. 35(5): 1502-1513 (2019) - [j15]Neska El Haouij, Jean-Michel Poggi, Raja Ghozi, Sylvie Sevestre-Ghalila, Mériem Jaïdane:
Random forest-based approach for physiological functional variable selection for driver's stress level classification. Stat. Methods Appl. 28(1): 157-185 (2019) - 2018
- [j14]Kristina Krebs, Jean-Michel Poggi:
The ENBIS-17 Quality and Reliability Engineering International Special Issue. Qual. Reliab. Eng. Int. 34(7): 1305-1307 (2018) - [c2]Neska El Haouij, Jean-Michel Poggi, Sylvie Sevestre-Ghalila, Raja Ghozi, Mériem Jaïdane:
AffectiveROAD system and database to assess driver's attention. SAC 2018: 800-803 - 2017
- [j13]Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot, Nathalie Villa-Vialaneix:
Random Forests for Big Data. Big Data Res. 9: 28-46 (2017) - 2016
- [j12]Avner Bar-Hen, Jean-Michel Poggi:
Influence measures and stability for graphical models. J. Multivar. Anal. 147: 145-154 (2016) - 2015
- [j11]Avner Bar-Hen, Servane Gey, Jean-Michel Poggi:
Influence Measures for CART Classification Trees. J. Classif. 32(1): 21-45 (2015) - [j10]Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot:
VSURF: An R Package for Variable Selection Using Random Forests. R J. 7(2): 19 (2015) - [j9]Anestis Antoniadis, Jean-Michel Poggi:
Discussion of "Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan". Stat. Methods Appl. 24(2): 307-312 (2015) - [i1]Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot, Nathalie Villa-Vialaneix:
Random Forests for Big Data. CoRR abs/1511.08327 (2015) - 2013
- [j8]Anestis Antoniadis, Xavier Brossat, Jairo Cugliari, Jean-Michel Poggi:
Clustering Functional Data using Wavelets. Int. J. Wavelets Multiresolution Inf. Process. 11(1) (2013) - 2011
- [j7]Farouk Mhamdi, Jean-Michel Poggi, Meriem Jaïdane:
Trend Extraction for seasonal Time Series Using Ensemble Empirical Mode Decomposition. Adv. Data Sci. Adapt. Anal. 3(3): 363-383 (2011) - 2010
- [j6]Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot:
Variable selection using random forests. Pattern Recognit. Lett. 31(14): 2225-2236 (2010)
2000 – 2009
- 2007
- [j5]Mina Aminghafari, Jean-Michel Poggi:
Forecasting Time Series Using Wavelets. Int. J. Wavelets Multiresolution Inf. Process. 5(5): 709-724 (2007) - [c1]Michel Misiti, Yves Misiti, Georges Oppenheim, Jean-Michel Poggi:
Clustering Signals Using Wavelets. IWANN 2007: 514-521 - 2006
- [j4]Servane Gey, Jean-Michel Poggi:
Boosting and instability for regression trees. Comput. Stat. Data Anal. 50(2): 533-550 (2006) - [j3]Mina Aminghafari, Nathalie Cheze, Jean-Michel Poggi:
Multivariate denoising using wavelets and principal component analysis. Comput. Stat. Data Anal. 50(9): 2381-2398 (2006) - [p1]Nathalie Cheze, Jean-Michel Poggi:
Iterated Boosting for Outlier Detection. Data Science and Classification 2006: 213-220 - 2000
- [j2]Jean-Michel Poggi, Bruno Portier:
Nonlinear Adaptive Tracking Using Kernel Estimators: Estimation and Test for Linearity. SIAM J. Control. Optim. 39(3): 707-727 (2000)
1990 – 1999
- 1998
- [j1]Jean-Michel Poggi, Bruno Portier:
Testing Linearity for NARX Models. Eur. J. Control 4(4): 298-305 (1998)
Coauthor Index
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