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An application of hierarchical Gaussian processes to the detection of anomalies in star light curves., , , and . Neurocomputing, (2019)Classifier Calibration.. Encyclopedia of Machine Learning and Data Mining, Springer, (2017)Machine Learning - The Art and Science of Algorithms that Make Sense of Data.. Cambridge University Press, (2012)On Graph Kernels: Hardness Results and Efficient Alternatives., , and . COLT, volume 2777 of Lecture Notes in Computer Science, page 129-143. Springer, (2003)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)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)A Big Data platform for smart meter data analytics., , , and . Comput. Ind., (2019)Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery., , , , , and . J. Heal. Informatics Res., 4 (3): 238-260 (2020)