Irina Deeva

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Structural Learning

Data Generation

Conditional Independence

Bayesian Networks

Top Venues

GECCO Companion

Publications

Maiia Pinchuk, Grigorii Kirgizov, Lyubov Yamshchikova, Nikolay O. Nikitin, Irina Deeva, Karine Shakhkyan, Ivan Borisov, Kirill Zharkov, Anna V. Kalyuzhnaya
GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects. GECCO Companion (2024)
Yury Kaminsky, Irina Deeva
LSevoBN: a structure learning algorithm for large Bayesian networks. GECCO Companion (2023)
Anastasiia Filatova, Mikhail Kovalchuk, Stanislav Batalenkov, Aleksander Voskresenskiy, Irina Deeva, Anna V. Kaluzhnaya, Aleksei Shpilman, Natalia Kondrashova, Maxim Dudnichenko, Denis Nasonov
A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization. CEC (2023)
Yury Kaminsky, Irina Deeva
BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes. CoRR (2022)
Petr D. Andriushchenko, Irina Deeva, Anna Bubnova, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering. CoRR (2022)
Andrey Bezborodov, Irina Deeva
Networks Clustering-Based Approach for Search of Reservoirs-Analogues. ICCS (1) (2022)
Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks. ICCS (1) (2021)
Anna V. Bubnova, Irina Deeva, Anna V. Kalyuzhnaya
MIxBN: library for learning Bayesian networks from mixed data. CoRR (2021)
Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks. CoRR (2021)
Irina Deeva, Andrey Mossyayev, Anna V. Kalyuzhnaya
A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN's and Classification Models. MobiQuitous (2021)
Irina Deeva, Petr D. Andriushchenko, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky
Bayesian Networks-based personal data synthesis. GOODTECHS (2020)
Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study. GECCO (Companion) (2019)