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Found 3 papers, 1 papers with code
A Novel Stochastic Transformer-based Approach for Post-Traumatic Stress Disorder Detection using Audio Recording of Clinical Interviews
Our proposed approach achieves state-of-the-art performances with an RMSE of 2. 92 on the eDAIC dataset thanks to the stochastic depth, stochastic deep learning layers, and stochastic activation function.
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition
The performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data which should be sufficiently labeled.
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification
In this manner, the discriminator is constrained to request the generator to converge towards the unlabeled samples distribution while diverging from the positive samples distribution.
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