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A survey on deep learning for software engineering
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …
and an improved model training method to break the bottleneck of neural network …
Social recommendation for social networks using deep learning approach: A systematic review, taxonomy, issues, and future directions
Due to the rise of social media, a vast volume of information is shared daily. Finding relevant
and acceptable information has become more challenging as the Internet's information flow …
and acceptable information has become more challenging as the Internet's information flow …
MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software
Machine Learning (ML) software can lead to unfair and unethical decisions, making software
fairness bugs an increasingly significant concern for software engineers. However …
fairness bugs an increasingly significant concern for software engineers. However …
Dual-interactive fusion for code-mixed deep representation learning in tag recommendation
Automatic tagging on software information sites is a tag recommendation service. It aims to
recommend content-based tags for a software object to help developers make distinctions …
recommend content-based tags for a software object to help developers make distinctions …
Ptm4tag: sharpening tag recommendation of stack overflow posts with pre-trained models
Stack Overflow is often viewed as one of the most influential Software Question & Answer
(SQA) websites, containing millions of programming-related questions and answers. Tags …
(SQA) websites, containing millions of programming-related questions and answers. Tags …
Representation learning for stack overflow posts: How far are we?
The tremendous success of Stack Overflow has accumulated an extensive corpus of
software engineering knowledge, thus motivating researchers to propose various solutions …
software engineering knowledge, thus motivating researchers to propose various solutions …
[HTML][HTML] Improving Ponzi scheme contract detection using multi-channel TextCNN and transformer
With the development of blockchain technologies, many Ponzi schemes disguise
themselves under the veil of smart contracts. The Ponzi scheme contracts cause serious …
themselves under the veil of smart contracts. The Ponzi scheme contracts cause serious …
Post2vec: Learning distributed representations of stack overflow posts
Past studies have proposed solutions that analyze Stack Overflow content to help users find
desired information or aid various downstream software engineering tasks. A common step …
desired information or aid various downstream software engineering tasks. A common step …
Duplicate question detection with deep learning in stack overflow
L Wang, L Zhang, J Jiang - IEEE Access, 2020 - ieeexplore.ieee.org
Stack Overflow is a popular Community-based Question Answer (CQA) website focused on
software programming and has attracted more and more users in recent years. However …
software programming and has attracted more and more users in recent years. However …
I know what you are searching for: Code snippet recommendation from stack overflow posts
Stack Overflow has been heavily used by software developers to seek programming-related
information. More and more developers use Community Question and Answer forums, such …
information. More and more developers use Community Question and Answer forums, such …