The scope of our study is all UNOS data of the USA organ donors since 20...
Graph neural networks (GNNs) have been widely applied to learning over g...
Although the bipartite shopping graphs are straightforward to model sear...
Deep Metric Learning algorithms aim to learn an efficient embedding spac...
Amphibious ground-aerial vehicles fuse flying and driving modes to enabl...
Before the recent success of deep learning methods for automated medical...
Computer-aided diagnosis plays a salient role in more accessible and acc...
Neural Architecture Search (NAS) is the game changer in designing robust...
Building a highly accurate predictive model for these tasks usually requ...
Chest X-ray becomes one of the most common medical diagnoses due to its
...
Chest X-rays become one of the most common medical diagnoses due to its
...
We report upon the results of a research and prototype building project
...
In this paper we demonstrate predicting electroencephalograpgy (EEG) fea...
In this paper we demonstrate speech synthesis using different
electroenc...
In this paper we introduce various techniques to improve the performance...
In this paper we demonstrate that performance of voice activity detectio...
In this paper we demonstrate spoken speech enhancement using
electroence...
In this paper we first demonstrate continuous noisy speech recognition u...
In this paper we demonstrate continuous noisy speech recognition using
c...
In this paper we demonstrate that performance of a speaker verification
...