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Multi-label Classification of Anemia Patients., , , и . ICMLA, стр. 825-830. IEEE, (2015)RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification., , и . DSAA, стр. 1-2. IEEE, (2021)Time and temporal abstraction in continual learning: tradeoffs, analogies and regret in an active measuring setting., , , и . CoLLAs, том 232 из Proceedings of Machine Learning Research, стр. 470-480. PMLR, (2023)Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance., , , , и . ICDM, стр. 447-456. IEEE Computer Society, (2018)Active Learning for One-Class Classification., , и . ICMLA, стр. 390-395. IEEE, (2015)Synthetic Oversampling for Advanced Radioactive Threat Detection., , и . ICMLA, стр. 948-953. IEEE, (2015)The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies., , , , , , и . BMC Medical Informatics Decis. Mak., 19 (1): 112:1-112:8 (2019)4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022., , , , , , , , , и 3 other автор(ы). KDD, стр. 4860-4861. ACM, (2022)Efficient Augmentation for Imbalanced Deep Learning., , , и . CoRR, (2022)Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling., , и . ECML/PKDD (1), том 9851 из Lecture Notes in Computer Science, стр. 248-263. Springer, (2016)