49 citations · 68 across the 3 of their papers we have counts for
3 papers
Unsupervised learning of the brain connectivity dynamic using residual D-net
Youngjoo Seo, Manuel Morante, Yannis Kopsinis +1
In this paper, we propose a novel unsupervised learning method to learn the brain dynamics using a deep learning architecture named residual D-net. As it is often the case in medic…
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst +1
This paper introduces Graph Convolutional Recurrent Network (GCRN), a deep learning model able to predict structured sequences of data. Precisely, GCRN is a generalization of class…
Deep Attribute Networks
Junyoung Chung, Donghoon Lee, Youngjoo Seo +1
Obtaining compact and discriminative features is one of the major challenges in many of the real-world image classification tasks such as face verification and object recognition.…