This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 2Causality
- 1Artificial Intelligence
- 1Causality inference
- 1Distributional causality
- 1Explainable AI
- 1Fairness in ML
-
Spring 2023
With machine learning models becoming more complicated and more widely applied to solve real-world challenges, there comes the need to explain their reasoning. In parallel with the advancements of deep learning methods, Explainable AI (XAI) algorithms have been proposed to address the issue of...
-
Spring 2014
The main focus of this work is on detection of causal relationships or couplings between different processes or systems. Identification of these causal relationships has applications in many disciplines including physics, economics, biology, neuroscience, and climatology. As these couplings or...