Mamalakis, Antonios, Elizabeth A Barnes, and Imme Ebert-Uphoff. 2023. “Carefully Choose the Baseline: Lessons Learned from Applying XAI Attribution Methods for Regression Tasks in Geoscience”. Artificial Intelligence for the Earth Systems.
Publications
2023
2022
Mamalakis, Antonios, Elizabeth A Barnes, and Imme Ebert-Uphoff. 2022. “Investigating the Fidelity of Explainable Artificial Intelligence Methods for Applications of Convolutional Neural Networks in Geoscience”. Artificial Intelligence for the Earth Systems.
Mamalakis, Antonios, Amir AghaKouchak, James T Randerson, and Efi Foufoula‐Georgiou. 2022. “Hotspots of Predictability: Identifying Regions of High Precipitation Predictability at Seasonal Timescales from Limited Time Series Observations”. Water Resources Research.
Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A Barnes. 2022. “CSU Synthetic Attribution Benchmark Dataset: Https://Beta.source.coop/Csu/Synthetic-Attribution/.”
Mamalakis, Antonios, Imme Ebert-Uphoff, and Elizabeth A Barnes. 2022. “Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset”. Environmental Data Science.
2021
Le, Phong V. V., Clément Guilloteau, Antonios Mamalakis, and Efi Foufoula-Georgiou. 2021. “Underestimated MJO Variability in CMIP6 Models”. Geophysical Research Letters.
Mamalakis, Antonios, James T Randerson, Jin-Yi Yu, Michael S Pritchard, Gudrun Magnusdottir, Padhraic Smyth, Paul A Levine, Sungduk Yu, and Efi Foufoula-Georgiou. 2021. “Zonally Contrasting Shifts of the Tropical Rain Belt in Response to Climate Change”. Nature Climate Change.
Stevens, Abby, Rebecca Willett, Antonios Mamalakis, Efi Foufoula-Georgiou, Alejandro Tejedor, James T Randerson, Padhraic Smyth, and Stephen Wright. 2021. “Graph-Guided Regularized Regression of Pacific Ocean Climate Variables to Increase Predictive Skill of Southwestern US Winter Precipitation”. Journal of Climate.
Guilloteau, Clément, Antonios Mamalakis, Lawrence Vulis, Phong VV Le, Tryphon T Georgiou, and Efi Foufoula-Georgiou. 2021. “Rotated Spectral Principal Component Analysis (rsPCA) for Identifying Dynamical Modes of Variability in Climate Systems”. Journal of Climate.