Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. - Edward Collier; Kate Duffy; Sangram Ganguly; Geri Madanguit; Subodh Kalia; Shreekant Gayaka; Ramakrishna R. Nemani; Andrew R. Michaelis; Shuang Li; Auroop R. Ganguly; Supratik Mukhopadhyay (ICDM Workshops, 2018)

CactusNets: Layer Applicability as a Metric for Transfer Learning. - Edward Collier; Robert DiBiano; Supratik Mukhopadhyay (IJCNN, 2018)

PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters. - Qun Liu 004; Edward Collier; Supratik Mukhopadhyay (ICADL, 2019)

Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs). - Chanachok Chokwitthaya; Edward Collier; Yimin Zhu; Supratik Mukhopadhyay (IJCNN, 2019)

Context-Aware Design of Cyber-Physical Human Systems (CPHS). - Supratik Mukhopadhyay; Subhajit Sidhanta; Arnab Ganguly 002; Qun Liu 004; Edward Collier; Yimin Zhu; Ravindra Gudishala; Chanachok Chokwitthaya; Robert DiBiano; Alimire Nabijiang; Sanaz Saeidi (COMSNETS, 2020)

Using Applicability to Quantifying Octave Resonance in Deep Neural Networks. - Edward Collier; Robert DiBiano; Supratik Mukhopadhyay (ICONIP (5), 2020)

GAP: Quantifying the Generative Adversarial Set and Class Feature Applicability of Deep Neural Networks. - Edward Collier; Supratik Mukhopadhyay (ICPR, 2020)

SimilarityGAN: Using Similarity to Loosen Structural Constraints in Generative Adversarial Models. - Edward Collier; Supratik Mukhopadhyay (DICTA, 2021)