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A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition., , and . J. Mach. Learn. Res., (2023)Quantifying the predictability of visual scanpaths using active information storage., , and . CoRR, (2020)The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction., , and . SSCI, page 1460-1468. IEEE, (2020)CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications., , , , , and . IEEE Trans. Evol. Comput., 26 (6): 1221-1235 (2022)Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation., , , , , and . CoRR, (2023)Enhancing Trust in Smart Charging Agents - The Role of Traceability for Human-Agent-Cooperation., , , , , , and . HCI (53), volume 14059 of Lecture Notes in Computer Science, page 313-324. Springer, (2023)Who's in Charge of Charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles., , , , and . HCI (38), volume 14048 of Lecture Notes in Computer Science, page 131-143. Springer, (2023)Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks., , , , , , , and . ICDM Workshops, page 785-792. IEEE, (2019)Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing., , , , and . CoRR, (2019)IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks., , , , , , , and . J. Open Source Softw., 4 (34): 1081 (2019)