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Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data.

, , , и . DS, том 10558 из Lecture Notes in Computer Science, стр. 324-339. Springer, (2017)

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Weyman Jerzy

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Antoni Stefanowski

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Jerzy Krzeczowski

 

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Feature subset selection for classification of histological images., и . Artif. Intell. Medicine, 9 (3): 227-239 (1997)Rough-Set Reasoning about Uncertain Data., и . Fundam. Informaticae, 27 (2/3): 229-243 (1996)Multi-criteria Approaches to Explaining Black Box Machine Learning Models.. ACIIDS (2), том 13996 из Lecture Notes in Computer Science, стр. 195-208. Springer, (2023)A General Two-Stage Approach to Inducing Rules from Examples., и . RSKD, стр. 317-325. Springer, (1993)A-PETE: Adaptive Prototype Explanations of Tree Ensembles., и . CoRR, (2024)Importance and Interaction of Conditions in Decision Rules., , , и . Rough Sets and Current Trends in Computing, том 2475 из Lecture Notes in Computer Science, стр. 255-262. Springer, (2002)An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle., , , и . Rough Sets and Current Trends in Computing, том 2005 из Lecture Notes in Computer Science, стр. 304-313. Springer, (2000)The Impact of Local Data Characteristics on Learning from Imbalanced Data.. RSEISP, том 8537 из Lecture Notes in Computer Science, стр. 1-13. Springer, (2014)Handling Continuous Attributes in Discovery of Strong Decision Rules.. Rough Sets and Current Trends in Computing, том 1424 из Lecture Notes in Computer Science, стр. 394-401. Springer, (1998)Evaluating Importance of Conditions in the Set of Discovered Rules., , и . RSFDGrC, том 4482 из Lecture Notes in Computer Science, стр. 314-321. Springer, (2007)