Mamalakis, Michail, Antonios Mamalakis, Ingrid Agartz, Lynn Egeland Mørch-Johnsen, Graham K. Murray, John Suckling, and Pietro Lio. 2024. “Solving the Enigma: Enhancing Faithfulness and Comprehensibility in Explanations of Deep Networks”. AI Open.
Publications
2024
Papalexiou, Simon Michael, Giuseppe Mascaro, Angeline G Pendergrass, Antonios Mamalakis, Mariana Madruga de Brito, Konstantinos M Andreadis, Kathleen Schiro, et al. 2024. “Sustainability Nexus AID: Storms”. Sustainability Nexus Forum.
Materia, Stefano, Lluís Palma García, Chiem van Straaten, Sungmin O, Antonios Mamalakis, Leone Cavicchia, Dim Coumou, Paolo de Luca, Marlene Kretschmer, and Markus Donat. 2024. “Artificial Intelligence for Climate Prediction of Extremes: State of the Art, Challenges, and Future Perspectives”. Wiley Interdisciplinary Reviews: Climate Change.
2023
Mamalakis, Antonios, Elizabeth A Barnes, and James W Hurrell. 2023. “Using Explainable Artificial Intelligence to Quantify ‘climate Distinguishability’ After Stratospheric Aerosol Injection”. Geophysical Research Letters.
Le, Phong VV, James T Randerson, Rebecca Willett, Stephen Wright, Padhraic Smyth, Guilloteau Clément, Antonios Mamalakis, and Efi Foufoula-Georgiou. 2023. “Climate-Driven Changes in the Predictability of Seasonal Precipitation”. Nature Communications.
McGovern, Amy, David John Gagne, Christopher D Wirz, Imme Ebert-Uphoff, Ann Bostrom, Yuhan Rao, Andrea Schumacher, et al. 2023. “Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School”. Bulletin of the American Meteorological Society.
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.
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/.”