| Clustering functional data using wavelets A Antoniadis, X Brossat, J Cugliari, JM Poggi International Journal of Wavelets, Multiresolution and Information Processing, 2013 | 128 | 2013 |
| GEFCom2012: Electric load forecasting and backcasting with semi-parametric models R Nedellec, J Cugliari, Y Goude International Journal of forecasting 30 (2), 375-381, 2014 | 113 | 2014 |
| Game-Theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series Forecasts CJ van Erven T. Modeling and Stochastic Learning for Forecasting in High Dimensions 217, 2015 | 79 | 2015 |
| Short-term electricity demand forecasting using a functional state space model K Nagbe, J Cugliari, J Jacques Energies 11 (5), 1120, 2018 | 51 | 2018 |
| A prediction interval for a function-valued forecast model: Application to load forecasting A Antoniadis, X Brossat, J Cugliari, JM Poggi International Journal of Forecasting 32 (3), 939-947, 2016 | 41 | 2016 |
| Prévision d'un processus à valeurs fonctionnelles en présence de non stationnarités. Application à la consommation d'électricité. A Antoniadis, X Brosat, J Cugliari, JM Poggi Journal de la Société Française de Statistique 153 (2), 52-78, 2012 | 31 | 2012 |
| Scalable clustering of individual electrical curves for profiling and bottom-up forecasting B Auder, J Cugliari, Y Goude, JM Poggi Energies 11 (7), 1893, 2018 | 28 | 2018 |
| Disaggregated electricity forecasting using wavelet-based clustering of individual consumers J Cugliari, Y Goude, JM Poggi 2016 IEEE International Energy Conference (ENERGYCON), 1-6, 2016 | 25 | 2016 |
| Prévision non paramétrique de processus à valeurs fonctionnelles: application à la consommation d'électricité J Cugliari Université Paris-Sud, FR, 2011 | 22 | 2011 |
| Improved linear regression prediction by transfer learning D Obst, B Ghattas, S Claudel, J Cugliari, Y Goude, G Oppenheim Computational Statistics & Data Analysis 174, 107499, 2022 | 19* | 2022 |
| Predictive maintenance from event logs using wavelet-based features: an industrial application S Bonnevay, J Cugliari, V Granger 14th International Conference on Soft Computing Models in Industrial and …, 2020 | 15 | 2020 |
| Une approche fonctionnelle pour la prévision non-paramétrique de la consommation d’électricité A Antoniadis, X Brossat, J Cugliari, JM Poggi Journal de la Société Française de Statistique 155 (2), 202-219, 2014 | 14 | 2014 |
| Conditional Autoregressive Hilbertian processes J Cugliari arxiv, 2013 | 11 | 2013 |
| Boosting diversity in regression ensembles M Bourel, J Cugliari, Y Goude, JM Poggi Statistical Analysis and Data Mining: The ASA Data Science Journal 17 (1 …, 2024 | 9 | 2024 |
| Textual data for time series forecasting D Obst, B Ghattas, S Claudel, J Cugliari, Y Goude, G Oppenheim arXiv preprint arXiv:1910.12618, 2019 | 7 | 2019 |
| How to detect novelty in textual data streams? A comparative study of existing methods C Christophe, J Velcin, J Cugliari, P Suignard, M Boumghar Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop …, 2020 | 5 | 2020 |
| Bagging of density estimators M Bourel, J Cugliari Computational Statistics 34 (4), 1849-1869, 2019 | 4 | 2019 |
| Imputation of temperature extremes using Generalized Additive Models J Cugliari, S De Mello, M Renom New Delhi: JDS, 2018 | 4 | 2018 |
| Monitoring geometrical properties of word embeddings for detecting the emergence of new topics C Christophe, J Velcin, J Cugliari, M Boumghar, P Suignard arXiv preprint arXiv:2111.03496, 2021 | 3 | 2021 |
| Simulation of multicriteria data J Cugliari, A Rolland EURO journal on decision processes 6, 21-37, 2018 | 3 | 2018 |
Jean-Michel PoggiProfessor, Lab. Maths Orsay (LMO), Univ. Paris-Saclay & Université Paris, FranceVerified email at universite-paris-saclay.fr
