Graph clustering is a fundamental task in graph analysis, and recent adv...
Lesion segmentation of ultrasound medical images based on deep learning
...
Non-intrusive intelligibility prediction is important for its applicatio...
An accurate objective speech intelligibility prediction algorithms is of...
End-to-end models have achieved significant improvement on automatic spe...
Domain Adaptation has been widely used to deal with the distribution shi...
Present domain adaptation methods usually perform explicit representatio...
Current hearing aids normally provide amplification based on a general
p...
Hearing aids are expected to improve speech intelligibility for listener...
Graph classification aims to perform accurate information extraction and...
Generalized Benders decomposition (GBD) is a globally optimal algorithm ...
Despite there being clear evidence for top-down (e.g., attentional) effe...
This paper presents a novel machine-hearing system that exploits deep ne...
Sleep-disordered breathing (SDB) is a serious and prevalent condition, a...
A novel end-to-end binaural sound localisation approach is proposed whic...
We propose a few fundamental techniques to obtain effective watermark
fe...
We propose a benchmark framework to rank image attractiveness using a no...