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Entropy and Organizational Performance., , , , , , , , , и 4 other автор(ы). HAIS, том 11734 из Lecture Notes in Computer Science, стр. 206-217. Springer, (2019)Pipeline for spatial distortion correction in MRI., , , , и . ISABEL, стр. 50:1-50:3. ACM, (2011)Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data., , , , , , , , , и . J. Medical Syst., 40 (11): 243:1-243:8 (2016)Review of Trends in Automatic Human Activity Recognition in Vehicle Based in Synthetic Data., , , , , , , , , и 1 other автор(ы). IDEAL (2), том 12490 из Lecture Notes in Computer Science, стр. 368-376. Springer, (2020)Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data., , , , , , , , , и 3 other автор(ы). IDEAL (2), том 12490 из Lecture Notes in Computer Science, стр. 549-560. Springer, (2020)From Deep Learning in imaging neuroscience to nuclear physics in Quantum Computing. University of Minho, Portugal, (2020)Some considerations on the estimation of the value associated to a clinical act., , и . ANT/EDI40, том 170 из Procedia Computer Science, стр. 1041-1046. Elsevier, (2020)NETEDGE MEP: A CNF-based Multi-access Edge Computing Platform., , , , , , , и . ISCC, стр. 1-6. IEEE, (2023)Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics., , , и . IDEAL (2), том 12490 из Lecture Notes in Computer Science, стр. 309-321. Springer, (2020)Deep Learning Based Pipeline for Fingerprinting Using Brain Functional MRI Connectivity Data., , , и . EUSPN/ICTH, том 141 из Procedia Computer Science, стр. 539-544. Elsevier, (2018)