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An empirical study on the effect of imbalanced data on bleeding detection in endoscopic video., , , и . EMBC, стр. 2598-2601. IEEE, (2016)ML_SPS: Stroke Prediction System Employing Machine Learning Approach., , , , , и . ICAIDS, том 1673 из Communications in Computer and Information Science, стр. 215-226. Springer, (2021)STACKION: Ion Channel-Modulating Peptides Identification Using Stacking-Based Ensemble Machine Learning., , , и . CCECE, стр. 216-221. IEEE, (2023)A Deep Learning Approach to Predict Weather Data Using Cascaded LSTM Network., и . CCECE, стр. 1-5. IEEE, (2020)DCBC_DeepL: Detection and Counting of Blood Cells Employing Deep Learning and YOLOv5 Model., , , , , и . ICAIDS, том 1673 из Communications in Computer and Information Science, стр. 203-214. Springer, (2021)An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes., , , , , , , , , и . IEEE Trans. Artif. Intell., 5 (6): 2840-2855 (июня 2024)PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors., , , , , и . MIET (1), том 490 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 109-121. Springer, (2022)Feature selection using modified ant colony optimization for wireless capsule endoscopy., , , и . UEMCON, стр. 1-4. IEEE, (2016)Bleeding detection in wireless capsule endoscopy based on color features from histogram probability., , и . CCECE, стр. 1-4. IEEE, (2013)StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images., , , , , , , и . J. King Saud Univ. Comput. Inf. Sci., 35 (8): 101647 (сентября 2023)