Pavel Vychuzhanin

Anomalies Detection in Metocean Simulation Results Using Convolutional Neural Networks

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

Sensitivity Analysis of the Composite Data-Driven Pipelines in the Automated Machine Learning

Nikolay O. Nikitin, Irina V. Barabanova, Pavel Vychuzhanin, 2021, Procedia Computer Science.

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.

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

Nikolay O. Nikitin, Anna V. Kaluzhnaya, I. Revin, 2021, Comput. Geosci..

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..