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08/17/2023
A Novel Loss Function Utilizing Wasserstein Distance to Reduce Subject-Dependent Noise for Generalizable Models in Affective Computing
Emotions are an essential part of human behavior that can impact thinkin...
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06/30/2022
Semi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data
Physiological measurements involves observing variables that attribute t...
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06/07/2020
Steganography GAN: Cracking Steganography with Cycle Generative Adversarial Networks
For as long as humans have participated in the act of communication, con...
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04/13/2020
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learnin
An integral function of fully autonomous robots and humans is the abilit...
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11/23/2019
