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Ирина Юрьевна Деева

Observed names: I.U. Deeva, Irina Deeva
Institution: ITMO University
Observed institution: ITMO University
ORCID: 0000-0001-8679-5868
Observed ORCID: 0000-0001-8679-5868
OpenAlex ID: A5110953720
Computational Personality Prediction Based on Digital Footprint of A Social Media User
2019 · Irina Deeva · Procedia Computer Science · 32
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Advanced Approach for Distributions Parameters Learning in Bayesian Networks with Gaussian Mixture Models and Discriminative Models
2023 · Irina Deeva, Anna Bubnova, et al. · Mathematics · 14
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Bayesian Networks-based personal data synthesis
2020 · Irina Deeva, Petr D. Andriushchenko, et al. · EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS) · 9
MIxBN: library for learning Bayesian networks from mixed data
2021 · Anna V. Bubnova, Irina Deeva, et al. · Procedia Computer Science · 7
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Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study
2019 · Nikolay O. Nikitin, Pavel Vychuzhanin, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 6
A Multi-Contractor Approach for MLRCPSP with the Graph Structure Optimization
2023 · Anastasiia Filatova, Mikhail Kovalchuk, et al. · IEEE Congress on Evolutionary Computation (CEC) · 3
BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes
2022 · Yury Kaminsky, Irina Deeva · Procedia Computer Science · 3
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Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
2021 · Irina Deeva, Anna Bubnova, et al. · Lecture notes in computer science · 3
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Pattern Recognition in Non-Stationary Environmental Time Series Using Sparse Regression
2019 · Irina Deeva, Nikolay O. Nikitin, et al. · Procedia Computer Science · 3
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To Select or Not to Select? The Role of Meta-features Selection in Meta-learning Tasks with Tabular Data
2025 · Irina Deeva, Alena Kropacheva · Lecture notes in computer science · 2
GOLEM: Flexible Evolutionary Design of Graph Representations of Physical and Digital Objects
2024 · Maiia Pinchuk, Grigorii Kirgizov, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 1
LSevoBN: a structure learning algorithm for large Bayesian networks
2023 · Yury Kaminsky, Irina Deeva · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 1
A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN’s and Classification Models
2022 · Irina Deeva, Andrey Mossyayev, et al. · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 1
Analysis of parameters of oil and gas fields using Bayesian networks
2020 · P.D. Andriushchenko, I.U. Deeva, et al. · Data Science in Oil and Gas · 1
Schema, values, and priors: understanding LLM-based domain detection for tabular datasets
2026 · Elizaveta Gamper, Roman Netrogolov, et al. · International Journal on Digital Libraries
Meta-Features Informed Wgan for Tabular Data
2025 · Roman Netrogolov, Irina Deeva · IEEE ... International Conference on Data Mining workshops
Networks Clustering-Based Approach for Search of Reservoirs-Analogues
2022 · Andrey Bezborodov, Irina Deeva · Lecture notes in computer science
Approach of variable clustering and compression for learning large Bayesian networks
2022 · Anna Bubnova, Irina Deeva · Procedia Computer Science
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MVAESynth: a unified framework for multimodal data generation, modality restoration, and controlled generation
2021 · Anton Lysenko, Irina Deeva, et al. · Procedia Computer Science
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Исследование возможности применения эволюционных алгоритмов для условной генерации атрибутированных графов
· Ирина Юрьевна Деева, Полина Олеговна Андреева, et al. · CyberLeninK (CyberLeninka)
Works count: 21
Citation count: 86
H-index: 5
I10-index: 2
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