no code implementations • 17 May 2022 • Alexander Brownlee, Martin Pelikan, John McCall, Andrei Petrovski
We hypothesise that this is caused by the more sophisticated algorithm being impeded by the large number of interactions in the problem which are unnecessary for its solution.
no code implementations • 10 Apr 2021 • Truong Dang, Thanh Nguyen, John McCall, Alan Wee-Chung Liew
Based on an observation that different segmentation algorithms will perform well on different subsets of examples because of the nature and size of training sets they have been exposed to and because of method-intrinsic factors, we propose to measure the confidence in the prediction of each algorithm and then use an associate threshold to determine whether the confidence is acceptable or not.
no code implementations • 10 Apr 2021 • Truong Dang, Tien Thanh Nguyen, John McCall, Eyad Elyan, Carlos Francisco Moreno-García
We propose a two-layer ensemble of deep learning models for the segmentation of medical images.