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)

Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods. - Atharv Yeolekar; Sagar Patel; Shreejaa Talla; Krishna Rukmini Puthucode; Azim Ahmadzadeh; Viacheslav M. Sadykov; Rafal A. Angryk (ICDM (Workshops), 2021)

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)