Published September 11, 2025
| Version v1.1.1-DOI
Software
Open
Replication code: Class-Dependent Perturbation Effects in Evaluating Time Series Attributions
Description
This repository contains the code and experiment results for our paper:
Baer, G., Grau, I., Zhang, C., & Van Gorp, P. (2025).
Class-Dependent Perturbation Effects in Evaluating Time Series Attributions.
Accepted at The World Conference on eXplainable Artificial Intelligence (XAI-2025).
Preprint available at: https://arxiv.org/abs
This release corresponds to the camera-ready version of our paper "Class-Dependent Perturbation Effects in Evaluating Time Series Attributions" accepted at The World Conference on eXplainable Artificial Intelligence (XAI-2025).
This release is identical to v1.1.0. This release was only made to connect and create DOI with Zenodo integration.
Files
gregorbaer/class-perturbation-effects-v1.1.1-DOI.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/gregorbaer/class-perturbation-effects/tree/v1.1.1-DOI (URL)
- Preprint: arXiv:2502.17022 (arXiv)
Software
- Repository URL
- https://github.com/gregorbaer/class-perturbation-effects
- Programming language
- Python
- Development Status
- Inactive