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2. Three-way Decisions with Evaluative Linguistic Expressions

4. A Distributional Approach for Soft Clustering Comparison and Evaluation

5. Responsible AI in Healthcare

8. Hexagons of Opposition in Linguistic Three-Way Decisions

9. Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators

12. Rough-set Based Genetic Algorithms for Weakly Supervised Feature Selection

13. Comparing Hexagons of Opposition in Probabilistic Rough Set Theory

19. Scikit-Weak: A Python Library for Weakly Supervised Machine Learning

20. Orthopartitions in Knowledge Representation and Machine Learning

21. A Correspondence Between Credal Partitions and Fuzzy Orthopartitions

22. Feature Selection and Disambiguation in Learning from Fuzzy Labels Using Rough Sets

23. Possibility Distributions Generated by Intuitionistic -Fuzzy Sets

24. Three-Way Decision for Handling Uncertainty in Machine Learning: A Narrative Review

25. Approximate Reaction Systems Based on Rough Set Theory

30. A giant with feet of clay: on the validity of the data that feed machine learning in medicine

32. Three–Way Classification: Ambiguity and Abstention in Machine Learning

34. Feature Reduction in Superset Learning Using Rough Sets and Evidence Theory

35. A Formal Learning Theory for Three-Way Clustering

36. Ensemble Learning, Social Choice and Collective Intelligence : An Experimental Comparison of Aggregation Techniques

46. Fuzzification of Ordinal Classes. The Case of the HL7 Severity Grading

47. A Giant with Feet of Clay: On the Validity of the Data that Feed Machine Learning in Medicine

48. New Frontiers in Explainable AI: Understanding the GI to Interpret the GO

49. Programmed Inefficiencies in DSS-Supported Human Decision Making

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