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Jamie Andrew Duell
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2020 – today
- 2024
- [i3]Jamie Andrew Duell, Hsuan Fu, Monika Seisenberger, Xiuyi Fan:
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations. CoRR abs/2402.17516 (2024) - 2023
- [c6]Jamie Andrew Duell, Xiuyi Fan, Hsuan Fu
, Monika Seisenberger
Batch Integrated Gradients: Explanations for Temporal Electronic Health Records. AIME 2023: 120-124 - [c5]Jamie Andrew Duell, Monika Seisenberger, Xiuyi Fan:
Counterfactual-Integrated Gradients: Counterfactual Feature Attribution for Medical Records. BIBM 2023: 2975-2982 - [c4]Jamie Andrew Duell, Monika Seisenberger, Tianlong Zhong, Hsuan Fu, Xiuyi Fan:
A Formal Introduction to Batch-Integrated Gradients for Temporal Explanations. ICTAI 2023: 452-459 - 2022
- [c3]Jamie Andrew Duell, Xiuyi Fan, Monika Seisenberger
Towards Polynomial Adaptive Local Explanations for Healthcare Classifiers. ISMIS 2022: 411-420 - 2021
- [c2]Jamie Andrew Duell, Xiuyi Fan, Bruce Burnett, Gert Aarts, Shang-Ming Zhou
A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records. BHI 2021: 1-4 - [c1]Marcin Kapcia, Hassan Eshkiki
ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics. ICTAI 2021: 841-845 - [i2]Jamie Andrew Duell:
A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI. CoRR abs/2103.04951 (2021) - [i1]Jamie Andrew Duell, Monika Seisenberger, Gert Aarts, Shang-Ming Zhou
Towards a Shapley Value Graph Framework for Medical peer-influence. CoRR abs/2112.14624 (2021)
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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