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A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers., , и . CoRR, (2020)Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection., , , , , , и . AAAI, стр. 13094-13103. AAAI Press, (2024)A generic framework for scenario exercises using models applied to water-resource management., , , , , , , , , и . Environ. Model. Softw., (2012)Local Cascade Ensemble for Multivariate Data Classification., , , , и . CoRR, (2020)A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning., , , , , , , , , и 1 other автор(ы). AAAI, стр. 403-411. AAAI Press, (2020)Combining narratives and modelling approaches to simulate fine scale and long-term urban growth scenarios for climate adaptation., , , , , , , , , и 1 other автор(ы). Environ. Model. Softw., (2016)XEM: An explainable-by-design ensemble method for multivariate time series classification., , , , и . Data Min. Knowl. Discov., 36 (3): 917-957 (2022)Building actions from classification rules., , , , и . Knowl. Inf. Syst., 34 (2): 267-298 (2013)Agnostic Local Explanation for Time Series Classification., , , и . ICTAI, стр. 432-439. IEEE, (2019)Application of Artificial Intelligence to Aphasia Treatment., и . IEA/AIE (Vol. 2), стр. 907-913. ACM, (1990)