6 citations · 11 across the 5 of their papers we have counts for
5 papers
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks
Edward Verenich, Tobias Martin, Alvaro Velasquez +2
Convolutional neural networks (CNN) are now being widely used for classifying and detecting pulmonary abnormalities in chest radiographs. Two complementary generalization propertie…
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia
Edward Verenich, Alvaro Velasquez, Nazar Khan +1
Trust in predictions made by machine learning models is increased if the model generalizes well on previously unseen samples and when inference is accompanied by cogent explanation…
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes
Rashik Shadman, M. G. Sarwar Murshed, Edward Verenich +2
The use of transfer learning with deep neural networks has increasingly become widespread for deploying well-tested computer vision systems to newer domains, especially those with…
Hazard Detection in Supermarkets using Deep Learning on the Edge
M. G. Sarwar Murshed, Edward Verenich, James J. Carroll +2
Supermarkets need to ensure clean and safe environments for both shoppers and employees. Slips, trips, and falls can result in injuries that have a physical as well as financial co…
FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints
Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed +1
The integration of artificial intelligence capabilities into modern software systems is increasingly being simplified through the use of cloud-based machine learning services and r…