Search Results for author: Edward Verenich

Found 5 papers, 3 papers with code

Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks

1 code implementation1 Sep 2021 Edward Verenich, Tobias Martin, Alvaro Velasquez, Nazar Khan, Faraz Hussain

Two complementary generalization properties of CNNs, translation invariance and equivariance, are particularly useful in detecting manifested abnormalities associated with pulmonary disease, regardless of their spatial locations within the image.

Translation

Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia

no code implementations6 Aug 2020 Edward Verenich, Alvaro Velasquez, Nazar Khan, Faraz Hussain

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 explanations of the reasoning behind predictions.

Domain Generalization Image Classification +1

The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes

1 code implementation29 Feb 2020 Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain

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 limited datasets.

Transfer Learning

FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints

no code implementations29 Feb 2020 Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain

The integration of artificial intelligence capabilities into modern software systems is increasingly being simplified through the use of cloud-based machine learning services and representational state transfer architecture design.

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