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Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait Patterns.

, , , and . EMBC, page 784-788. IEEE, (2020)

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Multiple Subspace Alignment Improves Domain Adaptation., , , and . CoRR, (2018)Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity., , , , and . GlobalSIP, page 938-942. IEEE, (2017)Introduction to the Special Issue on Representation, Analysis, and Recognition of 3D Humans., , , and . ACM Trans. Multim. Comput. Commun. Appl., 14 (1s): 15:1-15:2 (2018)Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks., , , and . ICASSP, page 1-5. IEEE, (2023)Generative Patch Priors for Practical Compressive Image Recovery., , and . WACV, page 2534-2544. IEEE, (2021)Learning Invariant Riemannian Geometric Representations Using Deep Nets., and . ICCV Workshops, page 1329-1338. IEEE Computer Society, (2017)From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems., , and . CVPR, IEEE Computer Society, (2007)Domain Alignment Meets Fully Test-Time Adaptation., , and . ACML, volume 189 of Proceedings of Machine Learning Research, page 1006-1021. PMLR, (2022)Orthogonality and graph divergence losses promote disentanglement in generative models., , , , , , , and . Frontiers Comput. Sci., (2024)Recurrence textures for human activity recognition from compressive cameras., and . ICIP, page 1417-1420. IEEE, (2012)