28 citations · 38 across the 5 of their papers we have counts for
5 papers
GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
Jacob Sanderson, Hua Mao, Wai Lok Woo
Explainable Artificial Intelligence (XAI) is increasingly essential as AI systems are deployed in critical fields such as healthcare and finance, offering transparency into AI-driv…
State of the art applications of deep learning within tracking and detecting marine debris: A survey
Zoe Moorton, Zeyneb Kurt, Wai Lok Woo
Deep learning techniques have been explored within the marine litter problem for approximately 20 years but the majority of the research has developed rapidly in the last five year…
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen, Hua Mao, Wai Lok Woo +2
Graph representation learning is fundamental for analyzing graph-structured data. Exploring invariant graph representations remains a challenge for most existing graph representati…
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer
Olalekan Ogundipe, Zeyneb Kurt, Wai Lok Woo
There exists unexplained diverse variation within the predefined colon cancer stages using only features either from genomics or histopathological whole slide images as prognostic…
Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife?
Zoe Moorton, Zeyneb Kurt, Wai Lok Woo
With the global issue of plastic debris ever expanding, it is about time that the technology industry stepped in. This study aims to assess whether deep learning can successfully d…