A deep learning approach for mapping music genres. - Sharaj Panwar; Arun Das 001; Mehdi Roopaei; Paul Rad (SoSE, 2017)

A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals. - Sharaj Panwar; Paul Rad; John Quarles; Edward J. Golob; Yufei Huang 001 (SMC, 2019)

Generating EEG signals of an RSVP Experiment by a Class Conditioned Wasserstein Generative Adversarial Network. - Sharaj Panwar; Paul Rad; John Quarles; Yufei Huang 001 (SMC, 2019)

Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. - Sharaj Panwar; Paul Rad; Tzyy-Ping Jung; Yufei Huang 001 (CoRR, 2019)

Are you emotional or depressed? Learning about your emotional state from your music using machine learning. - Sharaj Panwar; Paul Rad; Kim-Kwang Raymond Choo; Mehdi Roopaei (J. Supercomput., 2019)