11 citations · 11 across the 2 of their papers we have counts for
5 papers
Prediction of Influenza A virus infections in humans using an Artificial Neural Network learning approach
Charalambos Chrysostomou, Harris Partaourides, Huseyin Seker
The Influenza type A virus can be considered as one of the most severe viruses that can infect multiple species with often fatal consequences to the hosts. The Haemagglutinin (HA)…
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation
Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos +2
Memory-efficient continuous Sign Language Translation is a significant challenge for the development of assisted technologies with real-time applicability for the deaf. In this wor…
A Self-Attentive Emotion Recognition Network
Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis +2
Modern deep learning approaches have achieved groundbreaking performance in modeling and classifying sequential data. Specifically, attention networks constitute the state-of-the-a…
Deep Network Regularization via Bayesian Inference of Synaptic Connectivity
Harris Partaourides, Sotirios P. Chatzis
Deep neural networks (DNNs) often require good regularizers to generalize well. Currently, state-of-the-art DNN regularization techniques consist in randomly dropping units and/or…
Deep learning with t-exponential Bayesian kitchen sinks
Harris Partaourides, Sotirios Chatzis
Bayesian learning has been recently considered as an effective means of accounting for uncertainty in trained deep network parameters. This is of crucial importance when dealing wi…