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Deep radiomics: deep learning on radiomics texture images., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)Improving Operational Performance in Service Delivery Organizations by Using a Metaheuristic Task Allocation Algorithm., , , и . BPM (Industry Track), том 1985 из CEUR Workshop Proceedings, стр. 25-37. CEUR-WS.org, (2017)A Three Level Model of SOA Maturity: Toward Achieving Sense and Respond., , и . AMCIS, стр. 337. Association for Information Systems, (2009)Estimating Betti Numbers Using Deep Learning., и . IJCNN, стр. 1-7. IEEE, (2019)Classifying cooking object's state using a tuned VGG convolutional neural network.. CoRR, (2018)A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification., , , , , , , , , и 3 other автор(ы). J. Imaging, 9 (1): 10 (января 2023)Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset., , , и . CoRR, (2020)Representation of Deep Features using Radiologist defined Semantic Features., , , , , , , и . IJCNN, стр. 1-7. IEEE, (2018)Stability of deep features across CT scanners and field of view using a physical phantom., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105753P. SPIE, (2018)Improved Regression Analysis with Ensemble Pipeline Approach for Applications across Multiple Domains., , , и . ACM Trans. Asian Low Resour. Lang. Inf. Process., 23 (3): 42 (марта 2024)