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sGDML: Constructing accurate and data efficient molecular force fields using machine learning., , , , and . Comput. Phys. Commun., (2019)An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning., , , , , , , , , and 1 other author(s). Datenbank-Spektrum, 22 (2): 153-162 (2022)Approximate Tree Kernels., , , and . J. Mach. Learn. Res., (2010)Covariate Shift Adaptation by Importance Weighted Cross Validation., , and . J. Mach. Learn. Res., (2007)Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models., , , , , , and . IEEE Trans. Medical Imaging, 43 (2): 610-624 (February 2024)Towards robust explanations for deep neural networks., , , and . Pattern Recognit., (2022)Forecasting Industrial Aging Processes with Machine Learning Methods., , , and . CoRR, (2020)Building and Interpreting Deep Similarity Models., , , , , and . CoRR, (2020)Machine Learning for Intrusion Detection., , and . NATO ASI Mining Massive Data Sets for Security, volume 19 of NATO Science for Peace and Security Series - D: Information and Communication Security, page 366-373. IOS Press, (2007)Learning how to explain neural networks: PatternNet and PatternAttribution., , , , , , and . ICLR (Poster), OpenReview.net, (2018)