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QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations

Jamie Duell, Monika Seisenberger Orcid Logo, Hsuan Fu, Xiuyi Fan

2024 IEEE International Conference on Data Mining (ICDM), Pages: 693 - 698

Swansea University Author: Monika Seisenberger Orcid Logo

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DOI (Published version): 10.1109/icdm59182.2024.00078

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
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URI: https://cronfa.swan.ac.uk/Record/cronfa69248
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last_indexed 2025-08-01T14:31:31Z
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spelling 2025-07-31T16:46:30.1814586 v2 69248 2025-04-10 QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations d035399b2b324a63fe472ce0344653e0 0000-0002-2226-386X Monika Seisenberger Monika Seisenberger true false 2025-04-10 MACS Conference Paper/Proceeding/Abstract 2024 IEEE International Conference on Data Mining (ICDM) 0 693 698 IEEE 979-8-3315-0669-8 979-8-3315-0668-1 1550-4786 2374-8486 Measurement, Uncertainty, Computational modeling, Artificial neural networks, Machine learning,Feature extraction, Minimization, Complexity theory, Reliability, Data mining 21 2 2025 2025-02-21 10.1109/icdm59182.2024.00078 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2025-07-31T16:46:30.1814586 2025-04-10T01:16:03.6355889 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Jamie Duell 1 Monika Seisenberger 0000-0002-2226-386X 2 Hsuan Fu 3 Xiuyi Fan 4
title QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
spellingShingle QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
Monika Seisenberger
title_short QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
title_full QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
title_fullStr QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
title_full_unstemmed QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
title_sort QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
author_id_str_mv d035399b2b324a63fe472ce0344653e0
author_id_fullname_str_mv d035399b2b324a63fe472ce0344653e0_***_Monika Seisenberger
author Monika Seisenberger
author2 Jamie Duell
Monika Seisenberger
Hsuan Fu
Xiuyi Fan
format Conference Paper/Proceeding/Abstract
container_title 2024 IEEE International Conference on Data Mining (ICDM)
container_volume 0
container_start_page 693
publishDate 2025
institution Swansea University
isbn 979-8-3315-0669-8
979-8-3315-0668-1
issn 1550-4786
2374-8486
doi_str_mv 10.1109/icdm59182.2024.00078
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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published_date 2025-02-21T05:21:50Z
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