Automated multi-label chest X-rays (CXR) image classification has achiev...
Named Entity Recognition (NER) or the extraction of concepts from clinic...
Clustering a group of vertices in networks facilitates applications acro...
In this work, we demonstrate a novel system, namely Web of Scholars, whi...
With the explosive growth of new graduates with research degrees every y...
Physical measurements constitute a large portion of numbers in academic
...
Anomaly detection is a popular and vital task in various research contex...
The goals of this research were to search for Convolutional Neural Netwo...
Aiming at better representing multivariate relationships, this paper
inv...
Quantifying success in science plays a key role in guiding funding
alloc...
Author impact evaluation and prediction play a key role in determining
r...
Citation prediction of scholarly papers is of great significance in guid...
This paper investigates the impact of institutes and papers over time ba...
Globally, recommendation services have become important due to the fact ...
Scholarly article impact reflects the significance of academic output
re...
Quantifying the impact of a scholarly paper is of great significance, ye...
Quantifying the impact of scientific papers objectively is crucial for
r...
Multivariate relations are general in various types of networks, such as...
Scientific article recommender systems are playing an increasingly impor...
Science of science has become a popular topic that attracts great attent...
This paper addresses the problem of online tracking and classification o...