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Impact of Discretization Noise of the Dependent variable on Machine
  Learning Classifiers in Software Engineering

Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering

IEEE Transactions on Software Engineering (TSE), 2021
12 February 2022
Gopi Krishnan Rajbahadur
Shaowei Wang
Yasutaka Kamei
Ahmed E. Hassan
ArXiv (abs)PDFHTMLGithub

Papers citing "Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering"

7 / 7 papers shown
On Reasoning Strength Planning in Large Reasoning Models
Leheng Sheng
An Zhang
Zijian Wu
Weixiang Zhao
Changshuo Shen
Yi Zhang
Xiang Wang
Tat-Seng Chua
LRM
167
0
0
10 Jun 2025
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
Seyed Shayan Daneshvar
Da Tan
Shaowei Wang
Carson Leung
AAML
368
1
0
22 Apr 2025
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks
Yu Qiao
Lina Gong
Yu Zhao
Longji Xu
Mingqiang Wei
323
0
0
25 Oct 2024
A Comprehensive Framework for Evaluating API-oriented Code Generation in
  Large Language Models
A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
Yixi Wu
Pengfei He
Zehao Wang
Shaowei Wang
Yuan Tian
Tse-Hsun Chen
ALM
507
2
0
23 Sep 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity
  Framework
Causal Fairness under Unobserved Confounding: A Neural Sensitivity FrameworkInternational Conference on Learning Representations (ICLR), 2023
Maresa Schröder
Dennis Frauen
Stefan Feuerriegel
CML
325
12
0
30 Nov 2023
The impact of feature importance methods on the interpretation of defect
  classifiers
The impact of feature importance methods on the interpretation of defect classifiersIEEE Transactions on Software Engineering (IEEE TSE), 2022
Gopi Krishnan Rajbahadur
Shaowei Wang
Yasutaka Kamei
Ahmed E. Hassan
FAtt
152
109
0
04 Feb 2022
Machine Learning for Software Engineering: A Systematic Mapping
Machine Learning for Software Engineering: A Systematic MappingIEEE Access (IEEE Access), 2020
Saad Shafiq
A. Mashkoor
Christoph Mayr-Dorn
Alexander Egyed
239
22
0
27 May 2020
1
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