Kuiper's statistic is a good measure for the difference of ideal distrib...
The Class Incremental Semantic Segmentation (CISS) extends the tradition...
The multiple-choice knapsack problem (MCKP) is a classic NP-hard
combina...
More and more edge devices and mobile apps are leveraging deep learning ...
Android fragmentation refers to the overwhelming diversity of Android de...
Existing automatic code comment generators mainly focus on producing a
g...
The k-space data generated from magnetic resonance imaging (MRI) is only...
As convolutional neural networks (CNN) become the most successful
recons...
Dynamic Magnetic Resonance Imaging (dMRI) is widely used to assess vario...
Context: Smart TVs have become one of the most popular television types....
Multi-contrast Magnetic Resonance Imaging (MRI) generates multiple medic...
As one of the most successful AI-powered applications, recommender syste...
Deliberation is a common and natural behavior in human daily life. For
e...
It is challenging to precisely configure the phase shifts of the reflect...
In clinical procedures of angioplasty (i.e., open clogged coronary arter...
Deep neural networks (DNN) have achieved impressive success in multiple
...
Code summarization, the task of generating useful comments given the cod...
High-quality MRI reconstruction plays a critical role in clinical
applic...
Proteins interact to form complexes to carry out essential biological
fu...
Protein complexes are macromolecules essential to the functioning and
we...
The rapid expansion of Advanced Meter Infrastructure (AMI) has dramatica...
In community-based software development, developers frequently rely on
l...
This study extends our previous work on text-based speech editing to
dev...
Learning informative representations from image-based observations is of...
While extremely valuable to achieve advanced functions, mobile phone sen...
The Android system manages access to sensitive APIs by permission
enforc...
Graph neural networks (GNNs) are attractive for learning properties of a...
Collaborative live chats are gaining popularity as a development
communi...
Modern communication platforms such as Gitter and Slack play an increasi...
This paper presents the design, implementation and evaluation of a speec...
One-shot voice conversion (VC), which performs conversion across arbitra...
Dysarthric speech detection (DSD) systems aim to detect characteristics ...
Image registration plays an important role in medical image analysis.
Co...
A sememe is defined as the minimum semantic unit in linguistics. Sememe
...
End-to-end spoken language understanding (SLU) has recently attracted
in...
Multi-contrast MRI images provide complementary contrast information abo...
Retrospectively gated cine (retro-cine) MRI is the clinical standard for...
Mismatch between enrollment and test conditions causes serious performan...
Assuming an exponential power distribution is one way to deal with outli...
Personal devices such as mobile phones can produce and store large amoun...
Human action recognition as an important application of computer vision ...
This paper describes system setup of our submission to speaker diarisati...
Transformer has achieved competitive performance against state-of-the-ar...
Real-time cardiac cine MRI does not require ECG gating in the data
acqui...
Cardiac motion estimation plays a key role in MRI cardiac feature tracki...
How can we effectively leverage the domain knowledge from remote sensing...
The first Agriculture-Vision Challenge aims to encourage research in
dev...
The increasing penetration of renewable energy along with the variations...
With the booming of next generation sequencing technology and its
implem...
Motion estimation of cardiac MRI videos is crucial for the evaluation of...