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Rectifying Classifier Chains for Multi-Label Classification., , and . CoRR, (2019)Using ensembles for problems with characterizable changes in data distribution: A case study on quantification., , and . Inf. Fusion, (2017)A semi-dependent decomposition approach to learn hierarchical classifiers., , and . Pattern Recognit., 43 (11): 3795-3804 (2010)Histogram-based Deep Neural Network for Quantification., and . CIKM Workshops, volume 3052 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)A Review on Quantification Learning., , , and . ACM Comput. Surv., 50 (5): 74:1-74:40 (2017)Kernel Density Estimation for Multiclass Quantification., , and . CoRR, (2024)Combining Deep Learning and Preference Learning for Object Tracking., , , , and . ICONIP (3), volume 9949 of Lecture Notes in Computer Science, page 70-77. (2016)Learning to Assess from Pair-Wise Comparisons., , , , , , and . IBERAMIA, volume 2527 of Lecture Notes in Computer Science, page 481-490. Springer, (2002)Dynamic ensemble selection for quantification tasks., , , and . Inf. Fusion, (2019)Optimizing different loss functions in multilabel classifications., , , and . Prog. Artif. Intell., 3 (2): 107-118 (2015)