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Convergence Rates for Empirical Estimation of Binary Classification Bounds., , , and . CoRR, (2018)KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task - new dataset for iris segmentation., , , , , , , and . Iran J. Comput. Sci., 6 (4): 307-319 (December 2023)NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization., , , , , , , , , and 53 other author(s). IJCB, page 1-10. IEEE, (2021)Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning., , , , , , , , , and . J. Biomed. Informatics, (2023)Scalable Hash-Based Estimation of Divergence Measures., and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1877-1885. PMLR, (2018)Signal from the Noise: Quantitative Measures of Conformity and Variability From Process Mining Maps., , and . AMIA, AMIA, (2021)Direct estimation of information divergence using nearest neighbor ratios., , , and . ISIT, page 903-907. IEEE, (2017)Rate-Optimal Meta Learning of Classification Error., and . ICASSP, page 2481-2485. IEEE, (2018)Scalable Mutual Information Estimation Using Dependence Graphs., , and . ICASSP, page 2962-2966. IEEE, (2019)Team is brain: leveraging EHR audit log data for new insights into acute care processes., , , , , , , , , and . J. Am. Medical Informatics Assoc., 30 (1): 8-15 (2022)