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Mitigating Domain Shift in AI-Based TB Screening With Unsupervised Domain Adaptation., , , , , , и . IEEE Access, (2022)When 'The Difference That Makes a Difference' Makes a Difference: A Bottom-Up Approach to the Study of Information., и . Inf., 12 (2): 77 (2021)CCS-GAN: COVID-19 CT-scan classification with very few positive training images., , , , , , , , , и . CoRR, (2021)Hybrid Classification for Handwritten Character Recognition of a Subset of the Tamil Alphabet., и . CIST, стр. 167-172. IEEE, (2021)An Intelligent Parallel Distributed Streaming Framework for near Real-time Science Sensors and High-Resolution Medical Images., , , , , и . ICPP Workshops, стр. 7:1-7:9. ACM, (2021)Indexicality and the Binding Problem, и . Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, (1987)Learning to See Where and What: Training a Net to Make Saccades and Recognize Handwritten Characters, , , и . Advances in Neural Information Processing Systems 5, Morgan Kaufmann, San Francisco, CA, (1993)Sketching space., , и . Comput. Graph., 24 (6): 869-879 (2000)Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs., , , , , , , и . IEEE BigData, стр. 4387-4395. IEEE, (2021)