Irina Deeva - RankMe

14 papers B 1C 1Journal 4Unranked 8

Year	Rank	Type	Title / 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