Ann E Nicholson

Ann E Nicholson

Monash University

H-index: 35

Oceania-Australia

About Ann E Nicholson

Ann E Nicholson, With an exceptional h-index of 35 and a recent h-index of 20 (since 2020), a distinguished researcher at Monash University, specializes in the field of Artificial Intelligence, Bayesian networks, probabilistic risk assessment, expert elicitation, user modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts

Shareable and Inheritable Incremental Compilation in iOOBN

Predicting postpartum haemorrhage: A systematic review of prognostic models

Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy

Port Phillip Bay Nutrient Modelling using Bayesian Networks: An Exploration of The Usefulness of Artificial Intelligence to Address Complex Public Problems

Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling

BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning

A Review on Probabilistic Graphical Models and Tools

Ann E Nicholson Information

University

Position

Professor

Citations(all)

8208

Citations(since 2020)

2377

Cited By

6772

hIndex(all)

35

hIndex(since 2020)

20

i10Index(all)

73

i10Index(since 2020)

33

Email

University Profile Page

Monash University

Google Scholar

View Google Scholar Profile

Ann E Nicholson Skills & Research Interests

Artificial Intelligence

Bayesian networks

probabilistic risk assessment

expert elicitation

user modelling

Top articles of Ann E Nicholson

Title

Journal

Author(s)

Publication Date

Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts

BMC Medical Research Methodology

Steven Mascaro

Yue Wu

Owen Woodberry

Erik P Nyberg

Ross Pearson

...

2023/3/29

Shareable and Inheritable Incremental Compilation in iOOBN

Md Samiullah

Ann Nicholson

David Albrecht

2023/11/10

Predicting postpartum haemorrhage: A systematic review of prognostic models

BL Carr

M Jahangirifar

AE Nicholson

W Li

BW Mol

...

2023/9/23

Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy

Md Samiullah

Ann Nicholson

David Albrecht

2022/10/31

Port Phillip Bay Nutrient Modelling using Bayesian Networks: An Exploration of The Usefulness of Artificial Intelligence to Address Complex Public Problems

Ross Pearson

Mitzi Bolton

Steven Mascaro

Ann Nicholson

Rob Raven

2021/8

Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling

Epidemiology & Infection

Yue Wu

David Foley

Jessica Ramsay

Owen Woodberry

Steven Mascaro

...

2021/1

BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning

Risk Analysis

Erik P Nyberg

Ann E Nicholson

Kevin B Korb

Michael Wybrow

Ingrid Zukerman

...

2021/6/19

A Review on Probabilistic Graphical Models and Tools

Md Samiullah

David Albrecht

Ann E Nicholson

Chowdhury Farhan Ahmed

2021

The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology

Molecular Autism

Rachael Knott

Beth P Johnson

Jeggan Tiego

Olivia Mellahn

Amy Finlay

...

2021/12

Predicting the causative pathogen among children with osteomyelitis using Bayesian networks–improving antibiotic selection in clinical practice

PLoS Computational Biology

Yue Wu

Steven Mascaro

Mejbah Bhuiyan

Parveen Fathima

Ariel O Mace

...

2023/3/13

Individuals vs. BARD: Experimental evaluation of an online system for structured, collaborative Bayesian reasoning

Frontiers in Psychology

Kevin B Korb

Erik P Nyberg

Abraham Oshni Alvandi

Shreshth Thakur

Mehmet Ozmen

...

2020/6/18

Welcome.

International Journal of Community Music

DJ Elliott

Kari K. Veblen

2004

Technical assessment of small-scale wind power for residential use in Mexico: A Bayesian intelligence approach

Plos one

Monica Borunda

Javier de la Cruz

Raul Garduno-Ramirez

Ann Nicholson

2020/3/12

AI for monitoring the Sustainable Development Goals and supporting and promoting action and policy development

Lynn Miller

Mitzi Bolton

Julie Boulton

Michael Mintrom

Ann Nicholson

...

2020/9/21

Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data

SN Computer Science

Mohammad S Rahman

Ann E Nicholson

Gholamreza Haffari

2020/7

See List of Professors in Ann E Nicholson University(Monash University)

Co-Authors

H-index: 111
Eamonn Keogh

Eamonn Keogh

University of California, Riverside

H-index: 74
Geoff Webb

Geoff Webb

Monash University

H-index: 59
Bijan Shirinzadeh

Bijan Shirinzadeh

Monash University

H-index: 36
Germain Forestier

Germain Forestier

Université de Haute-Alsace

H-index: 32
Ingrid Zukerman

Ingrid Zukerman

Monash University

H-index: 31
Kevin B Korb

Kevin B Korb

Monash University

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