| MIxBN: Library for learning Bayesian networks from mixed data AV Bubnova, I Deeva, AV Kalyuzhnaya Procedia Computer Science 193, 494-503, 2021 | 7 | 2021 |
| Advanced approach for distributions parameters learning in bayesian networks with gaussian mixture models and discriminative models I Deeva, A Bubnova, AV Kalyuzhnaya Mathematics 11 (2), 343, 2023 | 6 | 2023 |
| Automatic determination of sedimentary units from well data A Bubnova, F Ors, J Rivoirard, I Cojan, T Romary Mathematical Geosciences 52 (2), 213-231, 2020 | 6 | 2020 |
| Oil and gas reservoirs parameters analysis using mixed learning of bayesian networks I Deeva, A Bubnova, P Andriushchenko, A Voskresenskiy, N Bukhanov, ... International Conference on Computational Science, 394-407, 2021 | 5 | 2021 |
| On the conditioning of process-based channelized meandering reservoir models on well data A Bubnova Université Paris sciences et lettres, 2018 | 5 | 2018 |
| Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering P Andriushchenko, I Deeva, A Bubnova, A Voskresenskiy, N Bukhanov, ... arXiv preprint arXiv:2204.00413, 2022 | 1 | 2022 |
| Analysis of parameters of oil and gas fields using Bayesian networks PD Andriushchenko, IU Deeva, AV Kalyuzhnaya, AV Bubnova, ... Data Science in Oil & Gas 2020 (1), 1-10, 2020 | 1 | 2020 |
| Sur le conditionnement des modèles génétiques de réservoirs chenalisés méandriformes à des données de puits–On the conditioning of process-based channelized meandering … A BUBNOVA École Nationale Supérieure des Mines de Paris, 2018 | 1 | 2018 |
| Approach of variable clustering and compression for learning large Bayesian networks A Bubnova, I Deeva Procedia Computer Science 212, 275-283, 2022 | | 2022 |
| Sur le conditionnement des modèles génétiques de réservoirs chenalisés méandriformes à des données de puits A Bubnova Paris Sciences et Lettres (ComUE), 2018 | | 2018 |
Irina DeevaITMO UniversityПодтвержден адрес электронной почты в домене itmo.ru
