| BARD: A structured technique for group elicitation of bayesian networks to support analytic reasoning EP Nyberg, AE Nicholson, KB Korb, M Wybrow, I Zukerman, S Mascaro, ... Risk Analysis 42 (6), 1155-1178, 2022 | 42 | 2022 |
| Predicting reliability through structured expert elicitation with the repliCATS (Collaborative Assessments for Trustworthy Science) process H Fraser, M Bush, BC Wintle, F Mody, ET Smith, AM Hanea, E Gould, ... Plos one 18 (1), e0274429, 2023 | 16 | 2023 |
| Individuals vs. BARD: Experimental evaluation of an online system for structured, collaborative Bayesian reasoning KB Korb, EP Nyberg, A Oshni Alvandi, S Thakur, M Ozmen, Y Li, ... Frontiers in Psychology 11, 496631, 2020 | 7 | 2020 |
| Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts S Mascaro, Y Wu, O Woodberry, EP Nyberg, R Pearson, JA Ramsay, ... BMC Medical Research Methodology 23 (1), 76, 2023 | 4 | 2023 |
| Eliciting group judgements about replicability: a technical implementation of the IDEA Protocol ER Pearson, H Fraser, M Bush, F Mody, I Widjaja, A Head, DP Wilkinson, ... Hawaii International Conference on System Sciences 2021, 461-470, 2021 | 4 | 2021 |
| Improving the production and evaluation of structural models using a Delphi process F Bolger, EP Nyberg, I Belton, MM Crawford, I Hamlin, AO Alvandi, ... OSF Preprints, 2020 | 2 | 2020 |
| Causal knowledge engineering: A case study from COVID-19 S Mascaro, Y Wu, R Pearson, O Woodberry, J Ramsay, T Snelling, ... arXiv preprint arXiv:2403.14100, 2024 | | 2024 |
| Fitting AI Technology to Complex Policy Problems: Phase 1 Report M Bolton, T Chan, R O'Connor, R Pearson, I Senthooran, P Stuckey Monash University, 2022 | | 2022 |
| Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts (preprint) S Mascaro, Y Wu, O Woodberry, EP Nyberg, R Pearson, JA Ramsay, ... | | 2022 |
| Port Phillip Bay Nutrient Modelling using Bayesian Networks: An Exploration of The Usefulness of Artificial Intelligence to Address Complex Public Problems R Pearson, M Bolton, S Mascaro, A Nicholson, R Raven Monash University, 2021 | | 2021 |
| Port Phillip Bay Nutrient Modelling using Bayesian Networks R Pearson, M Bolton, S Mascaro, A Nicholson, R Raven | | 2021 |
| How to model COVID-19 pathophysiology during lockdown: remote elicitation of causal Bayesian networks from medical experts S Mascaro, Y Wu, O Woodberry, EP Nyberg, J Ramsay, R Pearson, ... | | |
| BARD: A structured method and application for collaboratively building Bayesian networks to support human reasoning and decisions EP Nyberg, AE Nicholson, KB Korb, M Wybrow, I Zukerman, S Mascaro, ... | | |
| Comparing GA, DE and ACO for Vendor Managed Inventory Optimisation R Pearson, R Kowalczyk OSF, 0 | | |
