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Kalashnikov, Dmitri A. Davenport, Frances V. Labe, Zachary M. Loikith, Paul C. Abatzoglou, John T. and Singh, Deepti 2024. Predicting Cloud‐To‐Ground Lightning in the Western United States From the Large‐Scale Environment Using Explainable Neural Networks. Journal of Geophysical Research: Atmospheres, Vol. 129, Issue. 22,
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Jiang, Shijie Sweet, Lily‐belle Blougouras, Georgios Brenning, Alexander Li, Wantong Reichstein, Markus Denzler, Joachim Shangguan, Wei Yu, Guo Huang, Feini and Zscheischler, Jakob 2024. How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences. Earth's Future, Vol. 12, Issue. 7,
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Qiao, Xiaojun Chu, Tianxing Krell, Evan Tissot, Philippe Holland, Seneca Ahmed, Mohamed and Smilovsky, Danielle 2024. Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, Issue. , p. 4768.
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Cheremisina, Eugenia N. Kirpicheva, Elena Yu. Tokareva, Nadezhda A. and Milovidova, Anna A. 2024. Basic artificial Intelligence tasks in сontext of geological prospecting. Geoinformatika, p. 83.
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Krell, Evan Mamalakis, Antonios King, Scott A. Tissot, Philippe and Ebert-Uphoff, Imme 2025. The influence of correlated features on neural network attribution methods in geoscience. Environmental Data Science, Vol. 4, Issue. ,
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Aggregation strategies to improve XAI for geoscience models that use correlated, high-dimensional rasters
  • Volume 2
  • Evan Krell (a1) (a2) (a3) (a4), Hamid Kamangir (a3) (a4), Waylon Collins (a5) (a4), Scott A. King (a1) (a2) (a4) and Philippe Tissot (a3) (a4)
  • DOI: https://doi.org/10.1017/eds.2023.39
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Aggregation strategies to improve XAI for geoscience models that use correlated, high-dimensional rasters
  • Volume 2
  • Evan Krell (a1) (a2) (a3) (a4), Hamid Kamangir (a3) (a4), Waylon Collins (a5) (a4), Scott A. King (a1) (a2) (a4) and Philippe Tissot (a3) (a4)
  • DOI: https://doi.org/10.1017/eds.2023.39
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Aggregation strategies to improve XAI for geoscience models that use correlated, high-dimensional rasters
  • Volume 2
  • Evan Krell (a1) (a2) (a3) (a4), Hamid Kamangir (a3) (a4), Waylon Collins (a5) (a4), Scott A. King (a1) (a2) (a4) and Philippe Tissot (a3) (a4)
  • DOI: https://doi.org/10.1017/eds.2023.39
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