Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting by Randa Natras, Benedikt Soja, Michael Schmidt

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Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning by Laura Crocetti, Matthias Schartner, Benedikt Soja

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Short-term prediction of celestial pole offsets with interpretable machine learning by Mostafa Kiani Shahvandi, Santiago Belda, Siddhartha Mishra, Benedikt Soja

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Earth orientation parameters from VLBI determined with a Kalman filter by Maria Karbon, Benedikt Soja, Tobias Nilsson, Zhiguo Deng, Robert Heinkelmann, Harald Schuh

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Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach by Pia Ruttner, Roland Hohensinn, Stefano D’Aronco, Jan Dirk Wegner, Benedikt Soja

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Analyzing the Ionospheric Irregularities Caused by the September 2017 Geomagnetic Storm Using Ground-Based GNSS, Swarm, and FORMOSAT-3/COSMIC Data near the Equatorial Ionization An... by Alireza Atabati, Iraj Jazireeyan, Mahdi Alizadeh, Mahmood Pirooznia, Jakob Flury, Harald Schuh, Benedikt Soja

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Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches by Junyang Gou, Christine Rösch, Endrit Shehaj, Kangkang Chen, Mostafa Kiani Shahvandi, Benedikt Soja, Markus Rothacher

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Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project by Linda See, Benedikt Soja, Grzegorz Kłopotek, Tobias Sturn, Rudi Weinacker, Santosh Karanam, Ivelina Georgieva, Yuanxin Pan, Laura Crocetti, Markus Rothacher, Vicente Navarro, Steffen Fritz, Ian McCallum

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