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2020

Jackson D. R., S. Bruinsma, S. Negrin, C. Stolle, C. J. Budd, R. Dominguez Gonzalez, E. Down, D. J. Griffin, M. J. Griffith, G. Kervalishvili, D. Lubi’an Arenillas, J. Manners, J. Matzka, Y. Y. Shprits, R. Vasile, I. S. Zhelavskaya, (2020), The Space Weather Atmosphere Models and Indices (SWAMI) project: Overview and first results, J. Space Weather Space Clim., 10, 18, doi:10.1051/swsc/2020019

2019

Zhelavskaya I. S., R. Vasile, Y. Y. Shprits, C. Stolle, J. Matzka, (2019), Systematic Analysis of Machine Learning and Feature Selection Techniques for Prediction of the Kp Index, Space Weather, 17, 1461-1486, doi:10.1029/2019SW002271

2018

Zhelavskaya I. S., Y. Y. Shprits, R. Vasile, C. Stolle, J. Matzka, (2018), Systematic analysis of machine learning techniques for Kp prediction in the framework of the H2020 project SWAMI, 42nd Cospar Scientific Assembly, July 14–22, 2018, Pasadena, CA, USA

Zhelavskaya I. S., Y. Y. Shprits, R. Vasile, C. Stolle, J. Matzka, (2018), Systematic analysis of machine learning techniques for Kp prediction, (poster), EGU General Assembly 2018, April 8–13, 2018, Vienna, Austria

2017

Stolle C., Y. Shprits, J. Saynisch, F. Vervelidou, J. Matzka, (2017), Geomagnetismus und Partikelstrahlung im Weltraum, Sys Erde, 7, 32-37, doi:10.2312/GFZ.syserde.07.02.5

Wintoft P., M. Wik, J. Matzka, Y. Shprits, (2017), Forecasting Kp from solar wind data: input parameter study using 3-hour averages and 3-hour range values , J. Space Weather Space Clim., 7, A29, doi:10.1051/swsc/2017027