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Using ensembles for problems with characterizable changes in data distribution: A case study on quantification.

, , и . Inf. Fusion, (2017)

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Juan José Archelós

Juan José Aiscar

Juan José Hernando

Juan José Burred

Juan José Sánchez

 

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A semi-dependent decomposition approach to learn hierarchical classifiers., , и . Pattern Recognit., 43 (11): 3795-3804 (2010)Rectifying Classifier Chains for Multi-Label Classification., , и . CoRR, (2019)Using ensembles for problems with characterizable changes in data distribution: A case study on quantification., , и . Inf. Fusion, (2017)Kernel Density Estimation for Multiclass Quantification., , и . CoRR, (2024)A Review on Quantification Learning., , , и . ACM Comput. Surv., 50 (5): 74:1-74:40 (2017)Histogram-based Deep Neural Network for Quantification., и . CIKM Workshops, том 3052 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Combining Deep Learning and Preference Learning for Object Tracking., , , , и . ICONIP (3), том 9949 из Lecture Notes in Computer Science, стр. 70-77. (2016)Learning to Assess from Pair-Wise Comparisons., , , , , , и . IBERAMIA, том 2527 из Lecture Notes in Computer Science, стр. 481-490. Springer, (2002)Dynamic ensemble selection for quantification tasks., , , и . Inf. Fusion, (2019)Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems., , , , , , , и . J. Biomed. Informatics, (2016)