Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data

Azim Ahmadzadeh; Maxwell Hostetter; Berkay Aydin; Manolis K. Georgoulis; Dustin J. Kempton; Sushant S. Mahajan; Rafal Angryk

doi:10.1109/BigData47090.2019.9006505

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2019 IEEE International Conference on Big Data (Big Data)

Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data

Year: 2019, Pages: 1423-1431

DOI Bookmark: 10.1109/BigData47090.2019.9006505

Authors

Azim Ahmadzadeh, Georgia State University,dept. Computer Science,Atlanta,GA,USA
Maxwell Hostetter, Georgia State University,dept. Computer Science,Atlanta,GA,USA
Berkay Aydin, Georgia State University,dept. Computer Science,Atlanta,GA,USA
Manolis K. Georgoulis, RCAAM of the Academy of Athens,Athens,Greece
Dustin J. Kempton, Georgia State University,dept. Computer Science,Atlanta,GA,USA
Sushant S. Mahajan, Georgia State University,dept. Physics & Astronomy,Atlanta,GA,USA
Rafal Angryk, Georgia State University,dept. Computer Science,Atlanta,GA,USA

Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data

Authors

Abstract