Anna V. Kaluzhnaya
Orcid: 0000-0002-9612-8601
According to our database1,
Anna V. Kaluzhnaya
authored at least 39 papers
between 2012 and 2023.
Collaborative distances:
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Bibliography
2023
Eng. Appl. Artif. Intell., March, 2023
Assessing the Mass Transfer Coefficient in Jet Bioreactors with Classical Computer Vision Methods and Neural Networks Algorithms.
Algorithms, March, 2023
Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines.
CoRR, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Hybrid and automated machine learning approaches for oil fields development: The case study of Volve field, North Sea.
Comput. Geosci., 2022
Automated evolutionary approach for the design of composite machine learning pipelines.
Future Gener. Comput. Syst., 2022
Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering.
CoRR, 2022
Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Partial differential equations discovery with EPDE framework: Application for real and synthetic data.
J. Comput. Sci., 2021
Towards Generative Design of Computationally Efficient Mathematical Models with Evolutionary Learning.
Entropy, 2021
Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
A Multimodal Approach to Synthetic Personal Data Generation with Mixed Modelling: Bayesian Networks, GAN's and Classification Models.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021
Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks.
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
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., 2020
CoRR, 2020
Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data.
Proceedings of the Computational Science - ICCS 2020, 2020
Proceedings of the GoodTechs '20: 6th EAI International Conference on Smart Objects and Technologies for Social Good, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model.
CoRR, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
Towards a scenario-based solution for extreme metocean event simulation applying urgent computing.
Future Gener. Comput. Syst., 2018
CoRR, 2018
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification.
Complex., 2018
Proceedings of the Computational Science - ICCS 2018, 2018
Proceedings of the Computational Science - ICCS 2018, 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
2017
Uncertainty quantification and sensitivity analysis applied to the wind wave model SWAN.
Environ. Model. Softw., 2017
2016
Proceedings of the International Conference on Computational Science 2016, 2016
2015
J. Comput. Sci., 2015
Proceedings of the International Conference on Computational Science, 2015
2014
Problem Solving Environment for Development and Maintenance of St. Petersburg's Flood Warning System.
Proceedings of the International Conference on Computational Science, 2014
2013
Erratum to "Simulation-based collaborative decision support for surge floods prevention in St. Petersburg" [J. Comput. Sciience 3 (2012) 450-455].
J. Comput. Sci., 2013
2012
Simulation-based collaborative decision support for surge floods prevention in St. Petersburg.
J. Comput. Sci., 2012