A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
[HTML][HTML] A survey on machine learning techniques applied to source code
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
Fuzzy prototype selection-based classifiers for imbalanced data. Case study
Imbalanced data are popular in the machine learning community due to their likelihood of
appearing in real-world application areas and the problems they present for classical …
appearing in real-world application areas and the problems they present for classical …
COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach
The COVID-19 pandemic has changed the way we go about our everyday lives, and we will
continue to see its impact for a long time. These changes especially apply to the business …
continue to see its impact for a long time. These changes especially apply to the business …
A Comparative Analysis on the Detection of Web Service Anti-Patterns Using Various Metrics
S Tummalapalli, L Kumar, LBM Neti… - Proceedings of the 16th …, 2023 - dl.acm.org
Nowadays, the application of machine learning for developing prediction models is one of
the most critical research areas. Early prediction of anti-patterns using machine learning can …
the most critical research areas. Early prediction of anti-patterns using machine learning can …