Machine learning methods for the detection of polar lows in satellite mosaics: major issues and their solutions. - Mikhail Krinitskiy; Polina Verezemskaya; Svyatoslav Elizarov; Sergey Gulev (CoRR, 2020)

On the Generalization Ability of Data-Driven Models in the Problem of Total Cloud Cover Retrieval. - Mikhail Krinitskiy; Marina Aleksandrova; Polina Verezemskaya; Sergey Gulev; Alexey Sinitsyn; Nadezhda Kovaleva; Alexander Gavrikov (Remote. Sens., 2021)

Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting. - Timofey Grigoryev; Polina Verezemskaya; Mikhail Krinitskiy; Nikita Anikin; Alexander Gavrikov; Ilya Trofimov; Nikita Balabin; Aleksei Shpilman; Andrei Eremchenko; Sergey Gulev; Evgeny Burnaev; Vladimir Vanovskiy (Remote. Sens., 2022)

Machine Learning Models for Approximating Downward Short-Wave Radiation Flux over the Ocean from All-Sky Optical Imagery Based on DASIO Dataset. - Mikhail Krinitskiy; Vasilisa Koshkina; Mikhail Borisov; Nikita Anikin; Sergey Gulev; Maria Artemeva (Remote. Sens., 2023)