| Statistical modeling for real domestic hot water consumption forecasting A Lomet, F Suard, D Chèze Energy Procedia 70, 379-387, 2015 | 64 | 2015 |
| Sélection de modèle pour la classification croisée de données continues A Lomet Compiègne, 2012 | 34 | 2012 |
| Design of artificial data tables for co-clustering analysis A Lomet, G Govaert, Y Grandvalet Universit de Technologie de Compigne, France, 2012 | 12 | 2012 |
| Revue des méthodes pour la classification jointe des lignes et des colonnes d’un tableau V Brault, A Lomet Journal de la Société Française de Statistique 156 (3), 27-51, 2015 | 11 | 2015 |
| Model selection in block clustering by the integrated classification likelihood A Lomet, G Govaert, Y Grandvalet 20th International Conference on Computational Statistics (COMPSTAT 2012 …, 2012 | 11 | 2012 |
| Model selection for Gaussian latent block clustering with the integrated classification likelihood A Lomet, G Govaert, Y Grandvalet Advances in Data Analysis and Classification 12, 489-508, 2018 | 7 | 2018 |
| Saving energy by anticipating hot water production: identification of key points for an efficient statistical model integration Y Denis, F Suard, A Lomet, D Chèze AI EDAM 33 (2), 138-147, 2019 | 6 | 2019 |
| Methods for co-clustering: a review V Brault, A Lomet HAL 2015, 2015 | 6 | 2015 |
| Causal discovery for fuzzy rule learning L Kunitomo-Jacquin, A Lomet, JP Poli 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022 | 5 | 2022 |
| An approximation of the integrated classification likelihood for the latent block model A Lomet, G Govaert, Y Grandvalet 2012 IEEE 12th International Conference on Data Mining Workshops, 147-153, 2012 | 4 | 2012 |
| Un protocole de simulation de données pour la classification croisée A Lomet, G Govaert, Y Grandvalet 44e Journées de Statistique, SFdS, 1-6, 2012 | 4 | 2012 |
| Domestic hot water forecasting for individual housing with deep learning P Compagnon, A Lomet, M Reyboz, M Mermillod Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 3 | 2022 |
| Causal discovery for time series with constraint-based model and PMIME measure A Arsac, A Lomet, JP Poli arXiv preprint arXiv:2305.19695, 2023 | 2 | 2023 |
| Combining deep mutational scanning to heatmap of HLA class II binding of immunogenic sequences to preserve functionality and mitigate predicted immunogenicity C Sivelle, R Sierocki, Y Lesparre, A Lomet, W Quintilio, S Dubois, ... Frontiers in Immunology 14, 1197919, 2023 | 1 | 2023 |
| ExpressIF®, une IA symbolique et explicable NBEN ABDALLAH, L BOUDET, E FRIEDMANN, A LOMET, JP POLI, ... Bulletin N o 116, 47, 2022 | 1 | 2022 |
| Discussion sur la causalité imparfaite et son application aux sciences expérimentales L Jacquin, A Lomet, JP Poli Rencontres francophones sur la Logique Floue et ses Applications, 187-190, 2021 | 1 | 2021 |
| Integrated classification likelihood for model selection in block clustering A Lomet, G Govaert, Y Grandvalet Workshop statistical inference in complex/high-dimensional problems, 1-16, 2012 | 1 | 2012 |
| Etude du modèle LEYP dans le cadre de prévisions à long terme A Lomet | 1 | 2009 |
| Continuously Learning Prediction Models for Smart Domestic Hot Water Management R Bayle, M Reyboz, A Lomet, V Cook, M Mermillod Energies 17 (18), 4734, 2024 | | 2024 |
| PhD position in Bayesian Causal Graph and uncertainty quantification–Application to the anomaly detection on light line of the Synchrotron M Clausel, A Lomet | | 2024 |
