Publications from AI2ES


By AI2ES participants and members

Peer-reviewed Publications

2021

  • Diochnos, Dimitrios I. and Theodore B. Trafalis (2021) Learning Reliable Rules under Class Imbalance. SIAM International Conference on Data Mining, SDM 2021: 28-36. doi: 10.1137/1.9781611976700.4
  • Kamangir, Hamid, Waylon Collins, Philippe Tissot, Scott A. King, Hue Thi Hong Dinh, Niall Durham, and James Rizzo (2021) FogNet: A multiscale 3D CNN with double-branch dense block and attention mechanism for fog prediction, Machine Learning with Applications, 5: 100038. doi: 10.1016/j.mlwa.2021.100038
  • Lee, Yoonjin, Christian D. Kummerow, and Imme Ebert-Uphoff  (2021)  Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data, Atmospheric Measurement Techniques, Volume 14, issue 4, 2699–2716. doi: 10.5194/amt-14-2699-2021

2020

  • McGovern, Amy, Ann Bostrom, Imme Ebert-Uphoff, Ruoying He, Chris Thorncroft, Philippe Tissot, Sid Boukabara, Julie Demuth, David John Gagne II, Jason Hickey, and John K. Williams (2020) Weathering environmental change through advances in AI, Eos, 101, doi: 10.1029/2020EO147065