Browsing Theses by Subject "explainability"
Now showing items 1-3 of 3
-
Application of Deep Learning in Chemical Processes: Explainability, Monitoring and Observability
(University of Waterloo, 2022-01-04)The last decade has seen remarkable advances in speech, image, and language recognition tools that have been made available to the public through computer and mobile devices’ applications. Most of these significant ... -
CAMEO: Explaining Consensus and Expertise Across MOdels
(University of Waterloo, 2024-05-02)Explainable AI methods have been proposed to help interpret complex models, e.g., by assigning importance scores to model features or perturbing the features in a way that changes the prediction. These methods apply to one ... -
Explainable AI for retinal OCT diagnosis
(University of Waterloo, 2021-01-20)Artificial intelligence methods such as deep learning are leading to great progress in complex tasks that are usually associated with human intelligence and experience. Deep learning models have matched if not bettered ...