80 citations · 80 across the 2 of their papers we have counts for
3 papers
Model-agnostic multi-objective approach for the evolutionary discovery of mathematical models
Alexander Hvatov, Mikhail Maslyaev, Iana S. Polonskaya +3
In modern data science, it is often not enough to obtain only a data-driven model with a good prediction quality. On the contrary, it is more interesting to understand the properti…
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines
Nikolay O. Nikitin, Pavel Vychuzhanin, Mikhail Sarafanov +6
The effectiveness of the machine learning methods for real-world tasks depends on the proper structure of the modeling pipeline. The proposed approach is aimed to automate the desi…
Automated data-driven approach for gap filling in the time series using evolutionary learning
Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya
In the paper, we propose an adaptive data-driven model-based approach for filling the gaps in time series. The approach is based on the automated evolutionary identification of the…