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Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization. CoRR, (2013)From knowledge-based to data-driven fuzzy modeling - Development, criticism, and alternative directions.. Inform. Spektrum, 38 (6): 500-509 (2015)Hybrid Ranking and Regression for Algorithm Selection., , , and . KI, volume 12325 of Lecture Notes in Computer Science, page 59-72. Springer, (2020)Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations., and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 422-437. Springer, (2015)Towards Green Automated Machine Learning: Status Quo and Future Directions., , , , , and . J. Artif. Intell. Res., (2023)Identifying Copeland Winners in Dueling Bandits with Indifferences., , and . CoRR, (2023)Learning Structured Declarative Rule Sets - A Challenge for Deep Discrete Learning., , , and . CoRR, (2020)Fuzzy methods for case-based recommendation and decision support., , and . J. Intell. Inf. Syst., 27 (2): 95-115 (2006)Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites., , , , and . LWA, TUD-CS-2009-0157/TUD-KE-2009-04, page KDML:30-36. FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt, Germany, (2009)Learning Label Preferences: Ranking Error Versus Position Error., and . IDA, volume 3646 of Lecture Notes in Computer Science, page 180-191. Springer, (2005)