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

12 February 2022

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

7 / 7 papers shown

Title
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 9 0 0 10 Jun 2025
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Seyed Shayan Daneshvar Da Tan Shaowei Wang Carson Leung AAML 124 0 0 22 Apr 2025
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks Yu Qiao Lina Gong Yu Zhao Yansen Wang Mingqiang Wei 124 0 0 25 Oct 2024
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 123 0 0 23 Sep 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 71 6 0 30 Nov 2023
The impact of feature importance methods on the interpretation of defect classifiers Gopi Krishnan Rajbahadur Shaowei Wang Yasutaka Kamei Ahmed E. Hassan FAtt 57 83 0 04 Feb 2022
Machine Learning for Software Engineering: A Systematic Mapping Saad Shafiq A. Mashkoor Christoph Mayr-Dorn Alexander Egyed 60 18 0 27 May 2020