40 citations · 177 across the 35 of their papers we have counts for
11 papers · 1 filter
Resolving Anomalies in the Behaviour of a Modularity Inducing Problem Domain with Distributional Fitness Evaluation
Zhenyue Qin, Tom Gedeon, Bob McKay
Discrete gene regulatory networks (GRNs) play a vital role in the study of robustness and modularity. A common method of evaluating the robustness of GRNs is to measure their abili…
Feature Selection on Thermal-stress Dataset
Xuyang Shen, Jo Plested, Tom Gedeon
Physical symptoms caused by high stress commonly happen in our daily lives, leading to the importance of stress recognition systems. This study aims to improve stress classificatio…
Non-binary deep transfer learning for image classification
Jo Plested, Xuyang Shen, Tom Gedeon
The current standard for a variety of computer vision tasks using smaller numbers of labelled training examples is to fine-tune from weights pre-trained on a large image classifica…
Exploring Biases and Prejudice of Facial Synthesis via Semantic Latent Space
Xuyang Shen, Jo Plested, Sabrina Caldwell +1
Deep learning (DL) models are widely used to provide a more convenient and smarter life. However, biased algorithms will negatively influence us. For instance, groups targeted by b…
Informative Class Activation Maps
Zhenyue Qin, Dongwoo Kim, Tom Gedeon
We study how to evaluate the quantitative information content of a region within an image for a particular label. To this end, we bridge class activation maps with information theo…
Neural Network Classifier as Mutual Information Evaluator
Zhenyue Qin, Dongwoo Kim, Tom Gedeon
Cross-entropy loss with softmax output is a standard choice to train neural network classifiers. We give a new view of neural network classifiers with softmax and cross-entropy as…