1 citations · 1 across the 2 of their papers we have counts for
3 papers
Towards Fully Interpretable Deep Neural Networks: Are We There Yet?
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee
Despite the remarkable performance, Deep Neural Networks (DNNs) behave as black-boxes hindering user trust in Artificial Intelligence (AI) systems. Research on opening black-box DN…
Comprehensible Convolutional Neural Networks via Guided Concept Learning
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee
Learning concepts that are consistent with human perception is important for Deep Neural Networks to win end-user trust. Post-hoc interpretation methods lack transparency in the fe…
Real-Time Monitoring and Driver Feedback to Promote Fuel Efficient Driving
Sandareka Wickramanayake, H. M. N Dilum Bandara, Nishal A. Samarasekara
Improving the fuel efficiency of vehicles is imperative to reduce costs and protect the environment. While the efficient engine and vehicle designs, as well as intelligent route pl…