Mining structured knowledge from tweets using named entity recognition (...
Third-party libraries (TPLs) are extensively utilized by developers to
e...
Face animation has achieved much progress in computer vision. However,
p...
A central challenge of social computing research is to enable people to
...
Modality representation learning is an important problem for multimodal
...
Named Entity Recognition (NER) on social media refers to discovering and...
Enterprise relation extraction aims to detect pairs of enterprise entiti...
Face animation, one of the hottest topics in computer vision, has achiev...
Extracting cybersecurity entities such as attackers and vulnerabilities ...
Energy efficiency becomes increasingly important due to the limited batt...
Quality of experience (QoE) assessment for adaptive video streaming play...
Event cameras are a new type of sensors that are different from traditio...
Although the importance of using static analysis to detect taint-style
v...
The rapid growth of the Industrial Internet of Things (IIoT) has brought...
We proposed a convolutional neural network for vertex classification on
...
Deep learning recommendation models (DLRMs) are used across many
busines...
This article devotes to developing robust but simple correction techniqu...
In order to assist researchers to identify Environmental Microorganisms ...
We apply two families of novel fractional θ-methods, the FBT-θ
and FBN-θ...
The convolution quadrature theory is a systematic approach to analyse th...
Recently, the Dodgson's determinant condensation algorithm was revisited...
Although Recommender Systems have been comprehensively studied in the pa...
Multi-label classification has attracted an increasing amount of attenti...