Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. - Gelu Nita; Manolis K. Georgoulis; Irina Kitiashvili; Viacheslav Sadykov; Enrico Camporeale; Alexander Kosovichev; Haimin Wang; Vincent Oria; Jason T. L. Wang; Rafal A. Angryk; Berkay Aydin; Azim Ahmadzadeh; et al. (CoRR, 2020)

Compression of Solar Spectroscopic Observations: a Case Study of Mg II k Spectral Line Profiles Observed by NASA's IRIS Satellite. - Viacheslav M. Sadykov; Irina N. Kitiashvili; Alberto Sainz Dalda; Vincent Oria; Alexander G. Kosovichev; Egor Illarionov (CBMI, 2021)

On the Origin of the Rhythmic Sun's Radius Variation. - Konstantin Zioutas; Marios Maroudas; Alexander Kosovichev (Symmetry, 2022)

Predicting the Emergence of Solar Active Regions Using Machine Learning. - Spiridon Kasapis; Irina N. Kitiashvili; Alexander G. Kosovichev; John T. Stefan; Bhairavi Apte (CoRR, 2024)

Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning. - Spiridon Kasapis; Irina N. Kitiashvili; Paul Kosovich; Alexander G. Kosovichev; Viacheslav M. Sadykov; Patrick O'Keefe; Vincent Wang 005 (CoRR, 2024)

Solar Active Regions Emergence Prediction Using Long Short-Term Memory Networks. - Spiridon Kasapis; Irina N. Kitiashvili; Alexander G. Kosovichev; John T. Stefan (CoRR, 2024)