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Reverse testing: an efficient framework to select amongst classifiers under sample selection bias., and . KDD, page 147-156. ACM, (2006)Multi-source domain adaptation and its application to early detection of fatigue., , , , and . KDD, page 717-725. ACM, (2011)On The Equivalence of Tries and Dendrograms - Efficient Hierarchical Clustering of Traffic Data., and . CoRR, (2018)Image Constrained Blockmodelling: A Constraint Programming Approach., , , , , , and . SDM, page 19-27. SIAM, (2018)Data preparation using data quality matrices for classification mining., and . Eur. J. Oper. Res., 197 (2): 764-772 (2009)A Framework for Deep Constrained Clustering - Algorithms and Advances., , and . ECML/PKDD (1), volume 11906 of Lecture Notes in Computer Science, page 57-72. Springer, (2019)Towards Fair Deep Anomaly Detection., and . CoRR, (2020)Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms., , , , , and . CoRR, (2022)Fast Pairwise Query Selection for Large-Scale Active Learning to Rank., , , , , , and . ICDM, page 607-616. IEEE Computer Society, (2013)A Framework for Minimal Clustering Modification via Constraint Programming., , , , and . AAAI, page 1389-1395. AAAI Press, (2017)