Class imbalance is an inherent problem in many machine learning classification tasks. This often leads to learned models that are unusable for any practical purpose. In this study, we explore unsupervised approach address class by leveraging transfer from pre-trained image models. To end, encoder-based Generative Adversarial Network (eGAN) proposed which modifies the generator of a GAN introduc...

Cruz, P., R. Joffre, C. Bernard, N. Egan, B. Roux, and T. Winkel. 2022. Social adaptive responses to a harsh unpredictable environment: insights from pre-Hispanic andean society. Ecology Society 27(2):29. https://doi.org/10.5751/ES-13207-270229

Lindsay M. Edwards, Cameron J. Holloway, Andrew J. Murray, Nicholas S. Knight, Emma E. Carter, Graham J. Kemp, Campbell H. Thompson, Damian J. Tyler, Stefan Neubauer, Peter A. Robbins, and Kieran Clarke Department of Physiology, Anatomy and Genetics, University of Oxford, and The University of Oxford Centre for Clinical Magnetic Resonance Research, John Radcliffe Hospital, Oxford; Department of...

N. Faggian, I. Bohanna, L. A. Johnston, N. Georgiou-Karistianis, and G. F. Egan Center for Neuroscience, Melbourne University, Melbourne, Victoria, Australia, Neuroimaging, Howard Florey Institute, Melbourne, Victoria, Australia, Department of Electrical and Electronic Engineering, Melbourne University, Melbourne, Victoria, Australia, Centre for Developmental Psychiatry, Monash University, Melb...