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Found 4 papers, 1 papers with code
Automatic Labeling of Parkinson’s Disease Gait Videos with Weak Supervision
The method obtained state-of-the-art results on the Human3. 6M dataset.
Occlusion-Robust FAU Recognition by Mining Latent Space of Masked Autoencoders
Bypassing the occlusion reconstruction step, our model efficiently extracts FAU features of occluded faces by mining the latent space of a pretrained masked autoencoder.
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey
Electroencephalogram (EEG) decoding aims to identify the perceptual, semantic, and cognitive content of neural processing based on non-invasively measured brain activity.
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture
Accurate prediction of epileptic seizures has remained elusive, despite the many advances in machine learning and time-series classification.
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