The impact of feature importance methods on the interpretation of defect classifiers

4 February 2022

Papers citing "The impact of feature importance methods on the interpretation of defect classifiers"

7 / 7 papers shown

Title
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection Seyed Shayan Daneshvar Da Tan Shaowei Wang Carson Leung AAML 69 0 0 22 Apr 2025
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Célia Wafa Ayad Thomas Bonnier Benjamin Bosch Sonali Parbhoo Jesse Read FAtt XAI 98 0 0 11 Feb 2025
SimClone: Detecting Tabular Data Clones using Value Similarity Xu Yang Gopi Krishnan Rajbahadur Dayi Lin Shaowei Wang Zhen Ming Jiang 20 1 0 24 Jun 2024
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions Lorena Poenaru-Olaru Luís Cruz Jan S. Rellermeyer A. V. Deursen 15 0 0 25 Jan 2024
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests SayedHassan Khatoonabadi Ahmad Abdellatif D. Costa Emad Shihab VLM 24 3 0 13 Nov 2023
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study Michael Pacheco G. Oliva Gopi Krishnan Rajbahadur Ahmed E. Hassan 37 8 0 17 Jun 2022
Towards a consistent interpretation of AIOps models Yingzhe Lyu Gopi Krishnan Rajbahadur Dayi Lin Boyuan Chen Zhen Ming Z. Jiang AI4CE 19 19 0 04 Feb 2022