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Irina Deeva
Irina Deeva
ITMO University
Verified email at itmo.ru
Title
Cited by
Cited by
Year
Computational personality prediction based on digital footprint of a social media user
I Deeva
Procedia computer science 156, 185-193, 2019
292019
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
102019
MIxBN: Library for learning Bayesian networks from mixed data
AV Bubnova, I Deeva, AV Kalyuzhnaya
Procedia Computer Science 193, 494-503, 2021
72021
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
62023
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
52021
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
52020
ÏÐÎÅÊÒÈÐÎÂÀÍÈÅ ÑÅÌÀÍÒÈ×ÅÑÊÈÕ ÑÅÒÅÉ ÍÀ ßÇÛÊÅ ÏÐÎÃÐÀÌÌÈÐÎÂÀÍÈß VISUAL PROLOG
ÄÈÞ ÊÓØÍÈÐ Í.Â., ÊÓØÍÈÐ À.Â., ÊÀÁÀÍÎÂÀ À.Ë., ÃÂÎÇÄÅÍÊÎ À.À
ÍÀÓ×ÍÛÅ ÒÐÓÄÛ ÊÓÁÀÍÑÊÎÃÎ ÃÎÑÓÄÀÐÑÒÂÅÍÍÎÃÎ ÒÅÕÍÎËÎÃÈ×ÅÑÊÎÃÎ ÓÍÈÂÅÐÑÈÒÅÒÀ …, 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
22023
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
22022
Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression
I Deeva, NO Nikitin, AV Kaluyzhnaya
Procedia Computer Science 156, 357-366, 2019
22019
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
12022
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
12020
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
Ñèñòåìà ðàñïîçíàâàíèÿ æåñòîâ äëÿ ãëóõèõ è ñëàáîñëûøàùèõ ëþäåé
ÄÈÞ Ìàðêîâ Â.Í.
Ìåæîòðàñëåâîé èíñòèòóò «Íàóêà è îáðàçîâàíèå», 2015
2015
MULTI-SCALE MODELING OF HUMAN DIGITAL ENTITY IN CYBERSPACE
IU Deeva
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Articles 1–19