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Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance., , , , , and . Neural Networks, 21 (2-3): 427-436 (2008)The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support., , and . Neural Networks, (2012)Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis., , , and . IJCNN, page 2005-2009. IEEE, (2007)Estimating confidence of individual rating predictions in collaborative filtering recommender systems.. Expert Syst. Appl., 40 (10): 3847-3857 (2013)Building virtual community in computational intelligence and machine learning Research Frontier., , , , , and . IEEE Comput. Intell. Mag., 4 (1): 43-54 (2009)Domain Generalization for Medical Image Analysis: A Survey., , , , and . CoRR, (2023)SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images., , , , , and . IEEE Trans. Medical Imaging, 42 (12): 3860-3870 (December 2023)Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation., , , and . CoRR, (2022)Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans., , , , , , , and . CoRR, (2020)How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model., , , and . CoRR, (2023)