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Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks
This paper presents a new method for medical diagnosis of neurodegenerative diseases, such as Parkinson's, by extracting and using latent information from trained Deep convolutional, or convolutional-recurrent Neural Networks (DNNs).
Recognition of Static Features in Sign Language Using Key-Points
In this paper we report on a research effort focusing on recognition of static features of sign formation in single sign videos.
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