Variable selection using random forests R Genuer, JM Poggi, C Tuleau-Malot Pattern Recognition Letters 31 (14), 2225-2236, 2010 | 2701 | 2010 |
Matlab wavelet toolbox user’s guide M Misiti, Y Misiti, G Oppenheim, JM Poggi The MathWorks Inc., Natick, MA, USA, version 2, 1996 | 1651* | 1996 |
Wavelet ToolboxTM 4 User’s Guide M Misiti, Y Misiti, G Oppenheim, JM Poggi The MathWorks, Inc 3, 1-47, 2009 | 1569* | 2009 |
Wavelets and their Applications M Misiti, Y Misiti, G Oppenheim, JM Poggi John Wiley & Sons, 2013 | 1016 | 2013 |
VSURF: An R Package for Variable Selection Using Random Forests R Genuer, JM Poggi, C Tuleau-Malot R Journal 7 (2), 19-33, 2015 | 587 | 2015 |
Random forests for big data R Genuer, JM Poggi, C Tuleau-Malot, N Villa-Vialaneix Big Data Research 9, 28-46, 2017 | 347 | 2017 |
Multivariate denoising using wavelets and principal component analysis M Aminghafari, N Cheze, JM Poggi Computational Statistics & Data Analysis 50 (9), 2381-2398, 2006 | 266 | 2006 |
Random Forests: some methodological insights R Genuer, JM Poggi, C Tuleau arXiv preprint arXiv:0811.3619, 2008 | 235 | 2008 |
Random forests for global sensitivity analysis: A selective review A Antoniadis, S Lambert-Lacroix, JM Poggi Reliability Engineering & System Safety 206, 107312, 2021 | 173 | 2021 |
Random forests R Genuer, JM Poggi, R Genuer, JM Poggi Random forests with R, 33-55, 2020 | 155 | 2020 |
Clustering functional data using wavelets A Antoniadis, X Brossat, J Cugliari, JM Poggi International Journal of Wavelets, Multiresolution and Information …, 2013 | 116 | 2013 |
Les ondelettes et leurs applications M Misiti, Y Misiti, G Oppenheim, JM Poggi Hermès science publications, 2003 | 113 | 2003 |
A review of electric vehicle load open data and models Y Amara-Ouali, Y Goude, P Massart, JM Poggi, H Yan Energies 14 (8), 2233, 2021 | 81 | 2021 |
PM10 forecasting using clusterwise regression JM Poggi, B Portier Atmospheric Environment 45 (38), 7005-7014, 2011 | 59 | 2011 |
Optimized clusters for disaggregated electricity load forecasting M Misiti, Y Misiti, G Oppenheim, JM Poggi REVSTAT-Statistical Journal 8 (2), 105–124-105–124, 2010 | 59 | 2010 |
Random forest-based approach for physiological functional variable selection for driver’s stress level classification N El Haouij, JM Poggi, R Ghozi, S Sevestre-Ghalila, M Jaïdane Statistical Methods & Applications 28, 157-185, 2019 | 57 | 2019 |
AffectiveROAD system and database to assess driver's attention NE Haouij, JM Poggi, S Sevestre-Ghalila, R Ghozi, M Jaïdane Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 800-803, 2018 | 57 | 2018 |
Boosting and instability for regression trees S Gey, JM Poggi Computational statistics & data analysis 50 (2), 533-550, 2006 | 52 | 2006 |
Arbres CART et Forêts aléatoires, Importance et sélection de variables R Genuer, JM Poggi | 49 | 2017 |
Aggregation of multi-scale experts for bottom-up load forecasting B Goehry, Y Goude, P Massart, JM Poggi IEEE Transactions on Smart Grid 11 (3), 1895-1904, 2019 | 48 | 2019 |