1 code implementation • 1 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.
no code implementations • 6 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.
1 code implementation • 29 Feb 2020 • Rashik Shadman, M. G. Sarwar Murshed, Edward Verenich, Alvaro Velasquez, 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.
no code implementations • 29 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.
1 code implementation • 29 Feb 2020 • M. G. Sarwar Murshed, Edward Verenich, James J. Carroll, Nazar Khan, Faraz Hussain
Supermarkets need to ensure clean and safe environments for both shoppers and employees.