Identifying a biclique with the maximum number of edges bears considerab...
Federated learning (FL) inevitably confronts the challenge of system
het...
Introducing environmental feedback into evolutionary game theory has led...
The correlation between children's personal and family characteristics (...
Although lane detection methods have shown impressive performance in
rea...
Fusing a sequence of perfectly aligned images captured at various exposu...
Empathy is an important characteristic to be considered when building a ...
Slip is a very common phenomena present in wheeled mobile robotic system...
This work proposes a new learning target based on reverberation time
sho...
With the outbreak of COVID-19, a large number of relevant studies have
e...
This work proposes a subband network for single-channel speech
dereverbe...
Retinal vascular diseases affect the well-being of human body and someti...
There are extensive studies focusing on the application scenario that al...
Maximal clique enumeration (MCE) is a fundamental problem in graph theor...
Given a bipartite graph, the maximum balanced biclique (MBB)
problem, di...
Retinopathy of prematurity (ROP) is an abnormal blood vessel development...
Recent learning-based research has achieved impressive results in the fi...
In large-scale classification problems, the data set may be faced with
f...
During recent decades, the automatic train operation (ATO) system has be...
Density Peaks Clustering (DPC), a novel density-based clustering approac...
Geo-social group search aims to find a group of people proximate to a
lo...
Microblogs are widely used to express people's opinions and feelings in ...
This paper considers the problem of robustly estimating the parameters o...