The canonical approach to video-text retrieval leverages a coarse-graine...
For readability assessment, traditional methods mainly employ machine
le...
Optical spectroscopy is indispensable for research and development in
na...
Automatic medical question summarization can significantly help the syst...
Sequential recommendation (SR) aims to predict the subsequent behaviors ...
Incorporating Knowledge Graphs (KG) into recommeder system has attracted...
Due to the lack of quality annotation in medical imaging community,
semi...
Deep learning models, e.g. supervised Encoder-Decoder style networks, ex...
Existing online recruitment platforms depend on automatic ways of conduc...
Rapid identification of newly emerging or circulating viruses is an impo...
Image registration is an important task in medical imaging which estimat...
Knowledge graph (KG) plays an increasingly important role in recommender...
Image registration is important for medical imaging, the estimation of t...
Zero-shot learning (ZSL) aims to recognize unseen classes based on the
k...
Session-based recommendation (SBR) is a challenging task, which aims at
...
Automatic medical image segmentation based on Computed Tomography (CT) h...
COVID-19, a new strain of coronavirus disease, has been one of the most
...
Recently, deep models have shown tremendous improvements in neural machi...
Session-based recommendation (SBR) is a challenging task, which aims to
...
Session-based recommendation (SBR) is a challenging task, which aims at
...
Due to the huge commercial interests behind online reviews, a
tremendous...
Deep encoders have been proven to be effective in improving neural machi...
Segmentation algorithms of medical image volumes are widely studied for ...
Knowledge distillation has been proven to be effective in model accelera...
In encoder-decoder neural models, multiple encoders are in general used ...
Applying machine learning technologies, especially deep learning, into
m...
With the increasing awareness of high-quality life, there is a growing n...
As Deep Convolutional Neural Networks (DCNNs) have shown robust performa...
Infomap clustering finds the community structures that minimize the expe...