Predicting stock prices presents a challenging research problem due to t...
Stock trend forecasting is a fundamental task of quantitative investment...
Click-Through Rate (CTR) prediction on cold users is a challenging task ...
The diagnosis of early stages of Alzheimer's disease (AD) is essential f...
Alzheimer's disease is characterized by alterations of the brain's struc...
One of the main reasons for Alzheimer's disease (AD) is the disorder of ...
Using multimodal neuroimaging data to characterize brain network is curr...
Multimodal neuroimage can provide complementary information about the
de...
Fusing medical images and the corresponding 3D shape representation can
...
Fusing multi-modality medical images, such as MR and PET, can provide va...
It is of great significance to apply deep learning for the early diagnos...
Latent factor models are the driving forces of the state-of-the-art
reco...
Various factorization-based methods have been proposed to leverage
secon...
Traffic prediction is a fundamental task in many real applications, whic...
Various general-purpose distributed systems have been proposed to cope w...
Latent factor models (LFMs) such as matrix factorization achieve the
sta...
Cloud services have grown rapidly in recent years, which provide high
fl...
The trade-off between coarse- and fine-grained locking is a well underst...