Irina Deeva

14 papers B 1C 1Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Meta-Features Informed Wgan for Tabular Data.
ICDM (Workshops)
Roman Netrogolov, Irina Deeva
2025 — conf
To Select or Not to Select? The Role of Meta-features Selection in Meta-learning Tasks with Tabular Data.
ICCS (2)
Irina Deeva, Alena Kropacheva
2024 — conf
GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects.
GECCO Companion
Maiia Pinchuk, Grigorii Kirgizov, Lyubov Yamshchikova, Nikolay O. Nikitin, Irina Deeva, Karine Shakhkyan, Ivan I. Borisov, Kirill Zharkov, Anna V. Kalyuzhnaya
2023 B conf
A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization.
CEC
Anastasiia Filatova, Mikhail V. Kovalchuk, Stanislav Batalenkov, Aleksander Voskresenskiy, Irina Deeva, Anna V. Kaluzhnaya, Aleksei Shpilman, Natalia Kondrashova, Maxim Dudnichenko, Denis A. Nasonov
2023 — conf
LSevoBN: a structure learning algorithm for large Bayesian networks.
GECCO Companion
Yury Kaminsky, Irina Deeva
2022 J jnl
BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes.
CoRR
Yury Kaminsky, Irina Deeva
2022 — conf
Networks Clustering-Based Approach for Search of Reservoirs-Analogues.
ICCS (1)
Andrey Bezborodov, Irina Deeva
2022 J jnl
Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering.
CoRR
Petr D. Andriushchenko, Irina Deeva, Anna Bubnova, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2021 C conf
A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN's and Classification Models.
MobiQuitous
Irina Deeva, Andrey Mossyayev, Anna V. Kalyuzhnaya
2021 J jnl
MIxBN: library for learning Bayesian networks from mixed data.
CoRR
Anna V. Bubnova, Irina Deeva, Anna V. Kalyuzhnaya
2021 — conf
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks.
ICCS (1)
Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2021 J jnl
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks.
CoRR
Irina Deeva, Anna Bubnova, Petr D. Andriushchenko, Anton Voskresenskiy, Nikita V. Bukhanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
2020 — conf
Bayesian Networks-based personal data synthesis.
GOODTECHS
Irina Deeva, Petr D. Andriushchenko, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky
2019 — conf
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study.
GECCO (Companion)
Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Irina Deeva, Anna V. Kalyuzhnaya, Sergey V. Kovalchuk