activity
20182026
most citedPrediction of Influenza A virus infections in humans using an Artificial Neural Network learning approach

11 citations · 11 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Gaze Prediction in Virtual Reality Without Eye Tracking Using Visual and Head Motion Cues

Christos Petrou, Harris Partaourides, Athanasios Balomenos +2

Gaze prediction plays a critical role in Virtual Reality (VR) applications by reducing sensor-induced latency and enabling computationally demanding techniques such as foveated ren…

cs.CV2025

PEDESTRIAN: An Egocentric Vision Dataset for Obstacle Detection on Pavements

Marios Thoma, Zenonas Theodosiou, Harris Partaourides +3

Walking has always been a primary mode of transportation and is recognized as an essential activity for maintaining good health. Despite the need for safe walking conditions in urb…

cs.CL2023

A New Dataset for End-to-End Sign Language Translation: The Greek Elementary School Dataset

Andreas Voskou, Konstantinos P. Panousis, Harris Partaourides +2

Automatic Sign Language Translation (SLT) is a research avenue of great societal impact. End-to-End SLT facilitates the interaction of Hard-of-Hearing (HoH) with hearing people, th…

q-bio.QM2021★ 11 cited

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)…

stat.ML2021

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…

cs.CL2019

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…