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Human-in-the-loop deep learning retinal image classification with customized loss function., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Text Summarization towards Scientific Information Extraction., , , , и . e-Science, стр. 225-235. IEEE, (2022)Iterative K-means clustering for disease subtype discovery., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Active Learning Yields Better Training Data for Scientific Named Entity Recognition., , , , , , , , и . eScience, стр. 126-135. IEEE, (2019)Similarity-based uncertainty scores for computer-aided diagnosis., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Curriculum gDRO: Improving Lung Malignancy Classification through Robust Curriculum Task Learning., , , , , и . CBMS, стр. 622-627. IEEE, (2023)Measuring Reproduciblity of Machine Learning Methods for Medical Diagnosis., , и . TransAI, стр. 9-16. IEEE, (2022)Ensuring AI For Science is Science: Making Randomness Portable., , и . AI4S, стр. 32-37. IEEE, (2022)Collaborative monitoring and analysis for simulation scientists., , , , , , , , и . CTS, стр. 235-244. IEEE, (2010)Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification., , , , и . TransAI, стр. 122-127. IEEE, (2022)