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Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations., и . ECML/PKDD (2), том 9285 из Lecture Notes in Computer Science, стр. 422-437. Springer, (2015)Hybrid Ranking and Regression for Algorithm Selection., , , и . KI, том 12325 из Lecture Notes in Computer Science, стр. 59-72. Springer, (2020)Graph-based methods for protein structure comparison., , , и . WIREs Data Mining Knowl. Discov., 3 (5): 307-320 (2013)Multi-target prediction: a unifying view on problems and methods., , и . Data Min. Knowl. Discov., 33 (2): 293-324 (2019)Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization., , , , и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 1130-1138. JMLR.org, (2013)A Possibilistic Formalization of Case-Based Reasoning and Decision Making.. Fuzzy Days, том 1625 из Lecture Notes in Computer Science, стр. 411-420. Springer, (1999)Risk assessment system of natural hazards: A new approach based on fuzzy probability., и . Fuzzy Sets Syst., 158 (9): 987-999 (2007)Learning Label Preferences: Ranking Error Versus Position Error., и . IDA, том 3646 из Lecture Notes in Computer Science, стр. 180-191. Springer, (2005)Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites., , , , и . LWA, TUD-CS-2009-0157/TUD-KE-2009-04, стр. KDML:30-36. FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt, Germany, (2009)Towards Green Automated Machine Learning: Status Quo and Future Directions., , , , , и . J. Artif. Intell. Res., (2023)