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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports., , , , , , , , , и 3 other автор(ы). J. Biomed. Informatics, (2020)Deep learning uncertainty quantification for clinical text classification., , , , , , , , , и 7 other автор(ы). J. Biomed. Informatics, (января 2024)Cross-registry neural domain adaptation to extract mutational test results from pathology reports., , , , , , , и . J. Biomed. Informatics, (2019)Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization., , , и . BCB, стр. 32:1-32:10. ACM, (2021)DeepPhe: Natural Language Processing Tools for Cancer Research and Surveillance., , , , , , , , и . AMIA, AMIA, (2022)Evaluation of the Surveillance, Epidemiology, and End Results Data Management System (SEER*DMS) to support the efforts in enhancing U.S cancer surveillance., , , , , и . AMIA, AMIA, (2017)Local data commons: the sleeping beauty in the community of data commons., , , , , , , , , и 6 other автор(ы). BMC Bioinform., 23-S (12): 368 (декабря 2022)Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry., , , , , , и . BMC Medical Informatics Decis. Mak., 20-S (10): 271 (2020)Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles., , , , , , , , , и 1 other автор(ы). Poly/DMAH@VLDB, том 12633 из Lecture Notes in Computer Science, стр. 87-99. Springer, (2020)Adversarial Training for Privacy-Preserving Deep Learning Model Distribution., , , , , , и . IEEE BigData, стр. 5705-5710. IEEE, (2019)