| Computational personality prediction based on digital footprint of a social media user I Deeva Procedia computer science 156, 185-193, 2019 | 30 | 2019 |
| Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study NO Nikitin, P Vychuzhanin, A Hvatov, I Deeva, AV Kalyuzhnaya, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | 10 | 2019 |
| 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 |
| 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 |
| Bayesian networks-based personal data synthesis I Deeva, PD Andriushchenko, AV Kalyuzhnaya, AV Boukhanovsky Proceedings of the 6th EAI international conference on smart objects and …, 2020 | 5 | 2020 |
| ПРОЕКТИРОВАНИЕ СЕМАНТИЧЕСКИХ СЕТЕЙ НА ЯЗЫКЕ ПРОГРАММИРОВАНИЯ VISUAL PROLOG ДИЮ КУШНИР Н.В., КУШНИР А.В., КАБАНОВА А.Л., ГВОЗДЕНКО А.А НАУЧНЫЕ ТРУДЫ КУБАНСКОГО ГОСУДАРСТВЕННОГО ТЕХНОЛОГИЧЕСКОГО УНИВЕРСИТЕТА …, 2015 | 4* | 2015 |
| A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization A Filatova, M Kovalchuk, S Batalenkov, A Voskresenskiy, I Deeva, ... 2023 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2023 | 2 | 2023 |
| BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes Y Kaminsky, I Deeva Procedia Computer Science 212, 191-200, 2022 | 2 | 2022 |
| Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression I Deeva, NO Nikitin, AV Kaluyzhnaya Procedia Computer Science 156, 357-366, 2019 | 2 | 2019 |
| 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 |
| LSevoBN: a structure learning algorithm for large Bayesian networks Y Kaminsky, I Deeva Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |
| Networks Clustering-Based Approach for Search of Reservoirs-Analogues A Bezborodov, I Deeva International Conference on Computational Science, 222-228, 2022 | | 2022 |
| Approach of variable clustering and compression for learning large Bayesian networks A Bubnova, I Deeva Procedia Computer Science 212, 275-283, 2022 | | 2022 |
| A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN’s and Classification Models I Deeva, A Mossyayev, AV Kalyuzhnaya International Conference on Mobile and Ubiquitous Systems: Computing …, 2021 | | 2021 |
| MVAESynth: a unified framework for multimodal data generation, modality restoration, and controlled generation A Lysenko, I Deeva, E Shikov Procedia Computer Science 193, 422-431, 2021 | | 2021 |
| Система распознавания жестов для глухих и слабослышащих людей ДИЮ Марков В.Н. Межотраслевой институт «Наука и образование», 2015 | | 2015 |
| MULTI-SCALE MODELING OF HUMAN DIGITAL ENTITY IN CYBERSPACE IU Deeva | | |
