Vaccination allocation in large dynamic networks. - Justin Zhan; Timothy Rafalski; Gennady Stashkevich; Edward Verenich (J. Big Data, 2017)

Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia. - Edward Verenich; Alvaro Velasquez; Nazar Khan; Faraz Hussain 001 (ICMLA, 2020)

FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints. - Edward Verenich; Alvaro Velasquez; M. G. Sarwar Murshed; Faraz Hussain 001 (OpML, 2020)

Hazard Detection in Supermarkets using Deep Learning on the Edge. - M. G. Sarwar Murshed; Edward Verenich; James J. Carroll; Nazar Khan; Faraz Hussain 001 (CoRR, 2020)

The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes. - Edward Verenich; Alvaro Velasquez; M. G. Sarwar Murshed; Faraz Hussain 001 (CoRR, 2020)

Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks. - Edward Verenich; Tobias Martin; Alvaro Velasquez; Nazar Khan; Faraz Hussain 001 (CoRR, 2021)