7 citations · 11 across the 9 of their papers we have counts for
3 papers · 1 filter
Cross-Domain Latent Modulation for Variational Transfer Learning
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield +1
We propose a cross-domain latent modulation mechanism within a variational autoencoders (VAE) framework to enable improved transfer learning. Our key idea is to procure deep repres…
Resting-state EEG sex classification using selected brain connectivity representation
Jean Li, Jeremiah D. Deng, Divya Adhia +1
Effective analysis of EEG signals for potential clinical applications remains a challenging task. So far, the analysis and conditioning of EEG have largely remained sex-neutral. Th…
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Jinyong Hou, Xuejie Ding, Stephen Cranefield +1
Current deep domain adaptation methods used in computer vision have mainly focused on learning discriminative and domain-invariant features across different domains. In this paper,…