Pavel Vychuzhanin

REBEC: Robust Evolutionary-based Calibration Approach for the Numerical Wind Wave Model pdf

Nikolay O. Nikitin, Anna V. Kaluzhnaya, Pavel Vychuzhanin, 2019, ArXiv.

Robust Ensemble-Based Evolutionary Calibration of the Numerical Wind Wave Model

Nikolay O. Nikitin, Anna V. Kaluzhnaya, Pavel Vychuzhanin, 2019, ICCS.

Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration: SWAN wind wave model case study

Sergey V. Kovalchuk, Nikolay O. Nikitin, Anna V. Kaluzhnaya, 2019, GECCO.

Automatic evolutionary learning of composite models with knowledge enrichment

Nikolay O. Nikitin, Anna V. Kaluzhnaya, Alexander Boukhanovsky, 2020, GECCO Companion.

Anomalies Detection in Metocean Simulation Results Using Convolutional Neural Networks

Anna V. Kalyuzhnaya, Alexander Hvatov, Pavel Vychuzhanin, 2018 .

Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines pdf

Nikolay O. Nikitin, Anna V. Kaluzhnaya, Alexander Boukhanovsky, 2021, Future Gener. Comput. Syst..

Hybrid and Automated Machine Learning Approaches for Oil Fields Development: the Case Study of Volve Field, North Sea pdf

Nikolay O. Nikitin, Anna V. Kaluzhnaya, Alexander Hvatov, 2021, ArXiv.

Multi-Objective Evolutionary Design of Composite Data-Driven Models

Nikolay O. Nikitin, Anna V. Kaluzhnaya, Iana S. Polonskaia, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).