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2020 – today
- 2024
[j5]Evangelia Kyrimi, Rebecca S. Stoner, Zane B. Perkins
, Erhan Pisirir, Jared M. Wohlgemut, William Marsh, Nigel R. M. Tai:
Updating and recalibrating causal probabilistic models on a new target population. J. Biomed. Informatics 149: 104572 (2024)- [i1]Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, Zane B. Perkins, David A. Lagnado, William Marsh, ExAIDSS Expert Group:
Explainable AI: Definition and attributes of a good explanation for health AI. CoRR abs/2409.15338 (2024) - 2023
- [c3]Erhan Pisirir, Jared M. Wohlgemut, Evangelia Kyrimi, Rebecca S. Stoner, Zane B. Perkins, Nigel R. M. Tai, D. William R. Marsh:
A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models. ICHI 2023: 388-397
2010 – 2019
- 2018
- [j4]Simon M. Glasgow, Zane B. Perkins, Nigel R. M. Tai, Karim Brohi, Christos Vasilakis:
Development of a discrete event simulation model for evaluating strategies of red blood cell provision following mass casualty events. Eur. J. Oper. Res. 270(1): 362-374 (2018) - 2017
- [j3]Barbaros Yet, Zane B. Perkins, Nigel R. M. Tai, D. William R. Marsh:
Clinical evidence framework for Bayesian networks. Knowl. Inf. Syst. 50(1): 117-143 (2017) - 2014
- [j2]Barbaros Yet, Zane Perkins, Norman E. Fenton, Nigel Tai, William Marsh:
Not just data: A method for improving prediction with knowledge. J. Biomed. Informatics 48: 28-37 (2014) - [j1]Barbaros Yet, Zane B. Perkins, Todd E. Rasmussen, Nigel R. M. Tai, D. William R. Marsh:
Combining data and meta-analysis to build Bayesian networks for clinical decision support. J. Biomed. Informatics 52: 373-385 (2014) - [c2]Barbaros Yet, Zane Perkins, Nigel Tai, William Marsh:
Explicit Evidence for Prognostic Bayesian Network Models. MIE 2014: 53-57 - 2013
- [c1]Barbaros Yet, William Marsh, Zane Perkins, Nigel Tai, Norman E. Fenton:
Predicting Latent Variables with Knowledge and Data: A Case Study in Trauma Care. UAI Application Workshops 2013: 49
Coauthor Index
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