1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2022
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model
Dániel Unyi, Bálint Gyires-Tóth
A major challenge in medical image analysis is the automated detection of biomarkers from neuroimaging data. Traditional approaches, often based on image registration, are limited…
eess.AS2022★ 1 cited
Improving Self-Supervised Learning-based MOS Prediction Networks
Bálint Gyires-Tóth, Csaba Zainkó
MOS (Mean Opinion Score) is a subjective method used for the evaluation of a system's quality. Telecommunications (for voice and video), and speech synthesis systems (for generated…
cs.LG2021
Reconstructing nodal pressures in water distribution systems with graph neural networks
Gergely Hajgató, Bálint Gyires-Tóth, György Paál
Knowing the pressure at all times in each node of a water distribution system (WDS) facilitates safe and efficient operation. Yet, complete measurement data cannot be collected due…