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Rule Evaluation Measures: A Unifying View.

, , and . ILP, volume 1634 of Lecture Notes in Computer Science, page 174-185. Springer, (1999)

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Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics., , and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 279-294. Springer, (2015)Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration., and . ECML/PKDD (1), volume 9284 of Lecture Notes in Computer Science, page 68-85. Springer, (2015)ILP turns 20 - Biography and future challenges., , , , , , and . Mach. Learn., 86 (1): 3-23 (2012)Classifier calibration: a survey on how to assess and improve predicted class probabilities., , , , , and . Mach. Learn., 112 (9): 3211-3260 (September 2023)FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems., , , , , and . J. Open Source Softw., 5 (49): 1904 (2020)On Graph Kernels: Hardness Results and Efficient Alternatives., , and . COLT, volume 2777 of Lecture Notes in Computer Science, page 129-143. Springer, (2003)Machine Learning - The Art and Science of Algorithms that Make Sense of Data.. Cambridge University Press, (2012)Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned., , , and . Mach. Learn., 57 (1-2): 115-143 (2004)On the need for structure modelling in sequence prediction., , and . Mach. Learn., 104 (2-3): 291-314 (2016)Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward.. AAAI, page 9808-9814. AAAI Press, (2019)