Ann E. Nicholson

Computer Science · Physical Sciences

31h-index5.9kcitations185works0.52yr avg
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Research Topics

Bayesian Modeling and Causal Inference(64), AI-based Problem Solving and Planning(29), Data Mining Algorithms and Applications(12), Anomaly Detection Techniques and Applications(11), Data Quality and Management(11)

Publications185 total

Comparing verbal, visual and combined explanations for Bayesian Network inferences
arXiv (Cornell University)·2025Open Access
User-centric Music Recommendations
arXiv (Cornell University)·2025Open Access
Accuracy of Symptom Checker for the Diagnosis of Sexually Transmitted Infections using Machine Learning and Bayesian Network Algorithms
2024· 1 citedOpen Access
Causal knowledge engineering: A case study from COVID-19
arXiv (Cornell University)·2024Open Access
Modelling long COVID using Bayesian networks
2024Open Access
The practice of qualitative parameterisation in the development of Bayesian networks
arXiv (Cornell University)·2024· 2 citedOpen Access
Shareable and Inheritable Incremental Compilation in iOOBN
Lecture notes in computer science·2023· 4 cited
Predicting Postpartum Haemorrhage: A Systematic Review of Prognostic Models
Obstetric Anesthesia Digest·2023
Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts
BMC Medical Research Methodology·2023· 8 citedOpen Access
Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy
2022· 3 cited
Predicting postpartum haemorrhage: A systematic review of prognostic models
Australian and New Zealand Journal of Obstetrics and Gynaecology·2022· 25 citedOpen Access
A Review on Probabilistic Graphical Models and Tools
Dhaka University Journal of Applied Science and Engineering·2022· 6 citedOpen Access
Towards a Society of Affect-driven Agents
2022· 2 cited
Open Science COVID-19 Management Using Bayesian Inference
OSF Preprints (OSF Preprints)·2022
Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts
2022· 2 citedOpen Access
Knowledge Engineering Tools for Probability Elicitation
Figshare·2022· 6 citedOpen Access
Data Mining Cardiovascular Bayesian Networks
Figshare·2022· 8 citedOpen Access
The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology
Molecular Autism·2021· 22 citedOpen Access
Predicting Postpartum Haemorrhage: A systematic review of prognostic models
2021· 1 citedOpen Access
The Monash Autism-ADHD Genetics and Neurodevelopment (MAGNET) Project Design and Methodologies: A dimensional approach to understanding neurobiological and genetic aetiology.
Research Square (Research Square)·2021· 1 citedOpen Access
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Frequent Co-authors

Kevin B. Korb(13), Steven Mascaro(5), Owen Woodberry(4), Geoffrey I. Webb(4), Ingrid Zukerman(4), David Albrecht(4), François Petitjean(3), Thomas Dean(3), Leslie Pack Kaelbling(3), Jak Kirman(3), M. Julia Flores(3), J. Michael Brady(3), Carmel Pollino(2), Germain Forestier(2), Yanping Chen(2), Eamonn Keogh(2), Carmelle V. Remillard(2), Richard N. Channick(2), Lewis J. Rubin(2), Jason X.‐J. Yuan(2)