Conference Paper/Proceeding/Abstract 312 views
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
Jamie Duell,
Monika Seisenberger 
,
Hsuan Fu,
Xiuyi Fan
,
Hsuan Fu,
Xiuyi Fan
2024 IEEE International Conference on Data Mining (ICDM), Pages: 693 - 698
Swansea University Author:
Monika Seisenberger
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1109/icdm59182.2024.00078
Abstract
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
| Published in: | 2024 IEEE International Conference on Data Mining (ICDM) |
|---|---|
| ISBN: | 979-8-3315-0669-8 979-8-3315-0668-1 |
| ISSN: | 1550-4786 2374-8486 |
| Published: |
IEEE
2025
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa69248 |
| Keywords: |
Measurement, Uncertainty, Computational modeling, Artificial neural networks, Machine learning,Feature extraction, Minimization, Complexity theory, Reliability, Data mining |
|---|---|
| College: |
Faculty of Science and Engineering |
| Start Page: |
693 |
| End Page: |
698 |