Anna V. Kalyuzhnaya

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 42

Top Topics

Differential Equations

Machine Learning

Data Generation

Bayesian Networks

Top Venues

GECCO Companion

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)
Nikita O. Starodubcev, Nikolay O. Nikitin, Elizaveta A. Andronova, Konstantin G. Gavaza, Denis O. Sidorenko, Anna V. Kalyuzhnaya
Generative design of physical objects using modular framework. Eng. Appl. Artif. Intell. 119 (2023)
Nikolay O. Nikitin, Maiia Pinchuk, Valerii Pokrovskii, Peter Shevchenko, Andrey Getmanov, Yaroslav Aksenkin, Ilia Revin, Andrey Stebenkov, Ekaterina Poslavskaya, Anna V. Kalyuzhnaya
Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines. CoRR (2023)
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks. CEC (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)
Nikita O. Starodubcev, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks. CoRR (2022)
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, Iana S. Polonskaia, Ilia Revin, Irina V. Barabanova, Gleb Maximov, Anna V. Kalyuzhnaya, Alexander Boukhanovsky
Automated evolutionary approach for the design of composite machine learning pipelines. Future Gener. Comput. Syst. 127 (2022)
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea. Comput. Geosci. 161 (2022)
Nikita O. Starodubcev, Nikolay O. Nikitin, Konstantin G. Gavaza, Elizaveta A. Andronova, Denis O. Sidorenko, Anna V. Kalyuzhnaya
Generative Design of Physical Objects using Modular Framework. CoRR (2022)
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov, Iana S. Polonskaia, Ilia Revin, Irina V. Barabanova, Gleb Maximov, Anna V. Kalyuzhnaya, Alexander Boukhanovsky
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines. CoRR (2021)
Nikolay O. Nikitin, Ilia Revin, Alexander Hvatov, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea. 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. ICCS (1) (2021)
Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
Partial differential equations discovery with EPDE framework: Application for real and synthetic data. J. Comput. Sci. 53 (2021)
Anna V. Bubnova, Irina Deeva, Anna V. Kalyuzhnaya
MIxBN: library for learning Bayesian networks from mixed data. CoRR (2021)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Alexander Hvatov, Mikhail Maslyaev, Mikhail Yachmenkov, Alexander Boukhanovsky
Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning. Entropy 23 (1) (2021)
Nikolay O. Nikitin, Alexander Hvatov, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Georgii V. Grigorev, Xiaohao Wang, Xiang Qian
Generative design of microfluidic channel geometry using evolutionary approach. GECCO Companion (2021)
Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Multi-Objective Evolutionary Design of Composite Data-Driven Models. CoRR (2021)
Iana S. Polonskaia, Nikolay O. Nikitin, Ilia Revin, Pavel Vychuzhanin, Anna V. Kalyuzhnaya
Multi-Objective Evolutionary Design of Composite Data-Driven Models. CEC (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)
Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Automated data-driven approach for gap filling in the time series using evolutionary learning. 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)
Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning. SOCO (2021)
Mikhail Sarafanov, Eduard Kazakov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI. Remote. Sens. 12 (23) (2020)
Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data. ICCS (2) (2020)
Nikolay O. Nikitin, Iana S. Polonskaia, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky
The multi-objective optimisation of breakwaters using evolutionary approach. CoRR (2020)
Irina Deeva, Petr D. Andriushchenko, Anna V. Kalyuzhnaya, Alexander V. Boukhanovsky
Bayesian Networks-based personal data synthesis. GOODTECHS (2020)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Pavel Vychuzhanin, Alexander Hvatov, Alexander Boukhanovsky
Automatic evolutionary learning of composite models with knowledge enrichment. GECCO Companion (2020)
Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model. ICCS (1) (2019)
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)
Michail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
Data-driven PDE discovery with evolutionary approach. CoRR (2019)
Mikhail Maslyaev, Alexander Hvatov, Anna V. Kalyuzhnaya
Data-Driven Partial Derivative Equations Discovery with Evolutionary Approach. ICCS (5) (2019)
Pavel Vychuzhanin, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model. CoRR (2019)
Anna V. Kalyuzhnaya, Denis A. Nasonov, Sergey V. Ivanov, Sergey S. Kosukhin, Alexander V. Boukhanovsky
Towards a scenario-based solution for extreme metocean event simulation applying urgent computing. Future Gener. Comput. Syst. 79 (2018)
Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Klavdiya Bochenina, Alexander A. Kudryashov, Amir Uteuov, Ivan Derevitskii, Alexander V. Boukhanovsky
Evolutionary Ensemble Approach for Behavioral Credit Scoring. ICCS (3) (2018)
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
Towards management of complex modeling through a hybrid evolutionary identification. GECCO (Companion) (2018)
Anna V. Kalyuzhnaya, Nikolay O. Nikitin, Nikolay Butakov, Denis A. Nasonov
Precedent-Based Approach for the Identification of Deviant Behavior in Social Media. ICCS (3) (2018)
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. CoRR (2018)
Sergey V. Kovalchuk, Oleg G. Metsker, Anastasia A. Funkner, Ilia O. Kisliakovskii, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Danila A. Vaganov, Klavdiya O. Bochenina
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. Complex. 2018 (2018)
Alexander Hvatov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya, Sergey S. Kosukhin
Adaptation of NEMO-LIM3 model for multigrid high resolution Arctic simulation. CoRR (2018)
Jose Luis Araya-Lopez, Anna V. Kalyuzhnaya, Sergey S. Kosukhin, Sergey V. Ivanov, Alexander Boukhanovsky
Data Quality Control for St. Petersburg Flood Warning System. ICCS (2016)
Anna V. Kalyuzhnaya, Alexander Boukhanovsky
Computational Uncertainty Management for Coastal Flood Prevention System. ICCS (2015)
Anna V. Kalyuzhnaya, Alexander A. Visheratin, Alexey Dudko, Denis A. Nasonov, Alexander V. Boukhanovsky
Synthetic storms reconstruction for coastal floods risks assessment. J. Comput. Sci. 9 (2015)
Sergey S. Kosukhin, Anna V. Kalyuzhnaya, Denis A. Nasonov
Problem Solving Environment for Development and Maintenance of St. Petersburg's Flood Warning System. ICCS (2014)