A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI. - Mikhail Sarafanov; Eduard Kazakov; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (Remote. Sens., 2020)

Model-Agnostic Multi-objective Approach for the Evolutionary Discovery of Mathematical Models. - Alexander Hvatov; Mikhail Maslyaev; Iana S. Polonskaya; Mikhail Sarafanov; Mark Merezhnikov; Nikolay O. Nikitin (OL2A, 2021)

Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning. - Mikhail Sarafanov; Nikolay O. Nikitin; Anna V. Kalyuzhnaya (SOCO, 2021)

Evolutionary Automated Machine Learning for Multi-Scale Decomposition and Forecasting of Sensor Time Series. - Mikhail Sarafanov; Valerii Pokrovskii; Nikolay O. Nikitin (CEC, 2022)

Automated evolutionary approach for the design of composite machine learning pipelines. - Nikolay O. Nikitin; Pavel Vychuzhanin; Mikhail Sarafanov; Iana S. Polonskaia; Ilia Revin; Irina V. Barabanova; Gleb Maximov; Anna V. Kalyuzhnaya; Alexander Boukhanovsky (Future Gener. Comput. Syst., 2022)