Kerrie L. Mengersen

84 papers A* 1A 1B 2Journal 74Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Guidelines for the Creation of Analysis Ready Data.
Data Intell.
Harriette Phillips, Aiden Price, Owen Forbes, Claire Boulange, Kerrie L. Mengersen, Marketa Reeves, Rebecca Glauert
2025 A* conf
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements.
ICLR
Adriana Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi, Arsène Fansi Tchango, Bruno Rousseau, Kerrie L. Mengersen
2025 J jnl
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements.
CoRR
Adriana Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi, Arsène Fansi Tchango, Bruno Rousseau, Kerrie L. Mengersen
2025 — conf
AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions.
ACL (1)
Adriana Eufrosina Bora, Akshatha Arodi, Duoyi Zhang, Jordan Bannister, Mirko Bronzi, Arsène Fansi Tchango, Md. Abul Bashar, Richi Nayak, Kerrie L. Mengersen
2025 J jnl
AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions.
CoRR
Adriana Eufrosina Bora, Akshatha Arodi, Duoyi Zhang, Jordan Bannister, Mirko Bronzi, Arsène Fansi Tchango, Md. Abul Bashar, Richi Nayak, Kerrie L. Mengersen
2025 J jnl
Bayesian design for sampling anomalous spatio-temporal data.
Stat. Comput.
Katie Buchhorn, Kerrie L. Mengersen, Edgar Santos-Fernández, James M. McGree
2025 J jnl
Sports Injury is Self-exciting: Modelling AFL Injuries Using Hawkes Processes.
SN Comput. Sci.
John Worrall, Paul Pao-Yen Wu, Liam A. Toohey, Kerrie L. Mengersen
2024 J jnl
Designing the Australian Cancer Atlas: visualizing geostatistical model uncertainty for multiple audiences.
J. Am. Medical Informatics Assoc.
Sarah Goodwin, Thom Saunders, Joanne Aitken, Peter Baade, Upeksha Chandrasiri, Dianne Cook, Susanna M. Cramb, Earl Duncan, Stephanie Kobakian, Jessie Roberts, Kerrie L. Mengersen
2024 J jnl
Empowering communities through data literacy: a qualitative study exploring Indigenous Australian perceptions, engagement and understanding of data.
J. Community Informatics
Becki Cook, Stephen Corporal, Jarryd Aleckson, Renee Blackman, Glenn Kefford, David R. Lovell, Kerrie L. Mengersen
2024 J jnl
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations.
CoRR
Conor Hassan, Joshua J. Bon, Elizaveta Semenova, Antonietta Mira, Kerrie L. Mengersen
2024 J jnl
Guidelines for the Creation of Analysis Ready Data.
CoRR
Harriette Phillips, Aiden Price, Owen Forbes, Claire Boulange, Kerrie L. Mengersen, Marketa Reeves, Rebecca Glauert
2024 J jnl
Perlin noise generation of physiologically realistic cardiac fibrosis.
Medical Image Anal.
Brodie A. J. Lawson, Christopher C. Drovandi, Pamela M. Burrage, Alfonso Bueno-Orovio, Rodrigo Weber dos Santos, Blanca Rodríguez, Kerrie L. Mengersen, Kevin Burrage
2024 J jnl
Proposer selection in EIP-7251.
CoRR
Sandra Johnson, Kerrie L. Mengersen, Patrick O'Callaghan, Anders L. Madsen
2024 J jnl
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference.
CoRR
Conor Hassan, Matthew Sutton, Antonietta Mira, Kerrie L. Mengersen
2023 J jnl
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning.
CoRR
Hong-Bo Xie, Caoyuan Li, Shuliang Wang, Richard Yi Da Xu, Kerrie L. Mengersen
2023 J jnl
Assessing the Spatial Structure of the Association between Attendance at Preschool and Childrens Developmental Vulnerabilities in Queensland Australia.
CoRR
wala Draidi Areed, Aiden Price, Kathryn Arnett, M. Helen Thompson, Reid Malseed, Kerrie L. Mengersen
2023 J jnl
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis.
CoRR
Conor Hassan, Robert Salomone, Kerrie L. Mengersen
2023 J jnl
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization.
Int. J. Data Sci. Anal.
Thirunavukarasu Balasubramaniam, David J. Warne, Richi Nayak, Kerrie L. Mengersen
2023 J jnl
Federated Variational Inference Methods for Structured Latent Variable Models.
CoRR
Conor Hassan, Robert Salomone, Kerrie L. Mengersen
2023 J jnl
Graph Neural Network-Based Anomaly Detection for River Network Systems.
CoRR
Katie Buchhorn, Edgar Santos-Fernández, Kerrie L. Mengersen, Robert Salomone
2023 J jnl
Optimal partitioning of directed acyclic graphs with dependent costs between clusters.
CoRR
Paul Pao-Yen Wu, Fabrizio Rggeri, Kerrie L. Mengersen
2023 A conf
Piecewise Deterministic Markov Processes for Bayesian Neural Networks.
UAI
Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes
2023 J jnl
Piecewise Deterministic Markov Processes for Bayesian Neural Networks.
CoRR
Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes
2023 J jnl
SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks.
R J.
Edgar Santos-Fernández, Jay M. Ver Hoef, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen, Erin E. Peterson
2022 J jnl
A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control.
IEEE Trans. Hum. Mach. Syst.
Hong-Bo Xie, Kerrie L. Mengersen, Changan Di, Yongjian Zhang, Justin Lipman, Sabine Van Huffel
2022 J jnl
Bayesian spatio-temporal models for stream networks.
Comput. Stat. Data Anal.
Edgar Santos-Fernández, Jay M. Ver Hoef, Erin E. Peterson, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen
2022 — conf
Stateful to Stateless: Modelling Stateless Ethereum.
MARS
Sandra Johnson, David Hyland-Wood, Anders L. Madsen, Kerrie L. Mengersen
2021 J jnl
A Bayesian social platform for inclusive and evidence-based decision making.
CoRR
Susannah Kate Devitt, Tamara Rose Pearce, Alok Kumar Chowdhury, Kerrie L. Mengersen
2021 J jnl
A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty.
CoRR
Letitia Sabburg, Alan Woodley, Kerrie L. Mengersen
2021 J jnl
Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach.
J. Big Data
Shovanur Haque, Kerrie L. Mengersen, Steven E. Stern
2021 J jnl
Connecting virtual reality and ecology: a new tool to run seamless immersive experiments in R.
PeerJ Comput. Sci.
Julie Vercelloni, Jon Peppinck, Edgar Santos-Fernández, Miles McBain, Grace Heron, Tanya Dodgen, Erin E. Peterson, Kerrie L. Mengersen
2021 J jnl
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis.
CoRR
Insha Ullah, Kerrie L. Mengersen, Rob J. Hyndman, James M. McGree
2021 J jnl
Kernelized Sparse Bayesian Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst.
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen
2021 J jnl
Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers.
Remote. Sens.
Teo Nguyen, Benoît Liquet, Kerrie L. Mengersen, Damien Sous
2020 J jnl
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures.
IEEE Trans. Signal Process.
Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel
2020 J jnl
Computationally Efficient Simulation of Queues: The R Package queuecomputer.
J. Stat. Softw.
Anthony Ebert, Paul Pao-Yen Wu, Kerrie L. Mengersen, Fabrizio Ruggeri
2020 J jnl
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation.
PLoS Comput. Biol.
Abhishek Varghese, Christopher C. Drovandi, Antonietta Mira, Kerrie L. Mengersen
2020 J jnl
Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage.
CoRR
Shovanur Haque, Kerrie L. Mengersen
2020 J jnl
MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values.
CoRR
Shovanur Haque, Kerrie L. Mengersen
2020 J jnl
Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef.
Environ. Model. Softw.
Erin E. Peterson, Edgar Santos-Fernández, Carla C. M. Chen, Samuel Clifford, Julie Vercelloni, Alan Pearse, Ross Brown, Bryce Christensen, Allan R. James, Ken Anthony, Jennifer Loder, Manuel González-Rivero, Chris M. Roelfsema, M. Julian Caley, Camille Mellin, Tomasz Bednarz, Kerrie L. Mengersen
2020 B conf
Nonparametric Bayesian Nonnegative Matrix Factorization.
MDAI
Hong-Bo Xie, Caoyuan Li, Kerrie L. Mengersen, Shuliang Wang, Richard Yi Da Xu
2020 J jnl
Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data.
J. Big Data
Jacinta Holloway, Kate J. Helmstedt, Kerrie L. Mengersen
2019 J jnl
A Decision Tree Approach for Spatially Interpolating Missing Land Cover Data and Classifying Satellite Images.
Remote. Sens.
Jacinta Holloway, Kate J. Helmstedt, Kerrie L. Mengersen, Michael Schmidt
2019 J jnl
Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data.
J. Big Data
Insha Ullah, Kerrie L. Mengersen
2019 J jnl
Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach.
Sensors
Brigitte Colin, Kerrie L. Mengersen
2019 J jnl
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator.
IEEE Trans. Image Process.
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen
2019 — conf
Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation.
LOD
Hong-Bo Xie, Caoyuan Li, Richard Yi Da Xu, Kerrie L. Mengersen
2018 J jnl
Fuzzy Entropy and Its Application for Enhanced Subspace Filtering.
IEEE Trans. Fuzzy Syst.
Hong-Bo Xie, Bellie Sivakumar, Tjeerd W. Boonstra, Kerrie L. Mengersen
2018 J jnl
Influence of Spatial Aggregation on Prediction Accuracy of Green Vegetation Using Boosted Regression Trees.
Remote. Sens.
Brigitte Colin, Michael Schmidt, Samuel Clifford, Alan Woodley, Kerrie L. Mengersen
2018 J jnl
Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks - The Case of the Wayfinding Model.
Entropy
Charisse Farr, Fabrizio Ruggeri, Kerrie L. Mengersen
2018 J jnl
Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review.
Remote. Sens.
Jacinta Holloway, Kerrie L. Mengersen
2018 J jnl
UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands.
Sensors
Juan Sandino, Felipe Gonzalez, Kerrie L. Mengersen, Kevin J. Gaston
2018 J jnl
Using History Matching for Prior Choice.
Technometrics
Xueou Wang, David J. Nott, Christopher C. Drovandi, Kerrie L. Mengersen, Michael Evans
2017 J jnl
Potential of Bayesian networks for adaptive management in water recycling.
Environ. Model. Softw.
Denise Beaudequin, Fiona Harden, Anne Roiko, Kerrie L. Mengersen
2016 J jnl
A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport.
Decis. Anal.
Subrata Chakraborty, Kerrie L. Mengersen, Colin J. Fidge, Lin Ma, David Lassen
2016 J jnl
A Comparison of Bayesian Models of Heteroscedasticity in Nested Normal Data.
Commun. Stat. Simul. Comput.
Alan Herschtal, Farshad Foroudi, Tomas Kron, Kerrie L. Mengersen
2016 J jnl
Bayesian methods for comparing species physiological and ecological response curves.
Ecol. Informatics
Michael B. Ashcroft, Angélica Casanova-Katny, Kerrie L. Mengersen, Todd N. Rosenstiel, Johanna D. Turnbull, Jane Wasley, Melinda J. Waterman, Gustavo E. Zúñiga, Sharon A. Robinson
2016 J jnl
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.
Sensors
Felipe Gonzalez, Glen A. Montes, Eduard Puig, Sandra Johnson, Kerrie L. Mengersen, Kevin J. Gaston
2016 — conf
Virtual reality for conservation.
Web3D
Tomasz Bednarz, June Kim, Ross Brown, Allan R. James, Kevin Burrage, Samuel Clifford, Jacqueline Davis, Kerrie L. Mengersen, Erin E. Peterson, Steven Psaltis, Julie Vercelloni
2015 J jnl
A framework for model integration and holistic modelling of socio-technical systems.
Decis. Support Syst.
Paul Pao-Yen Wu, Clinton Fookes, Jegar Pitchforth, Kerrie L. Mengersen
2015 J jnl
An external field prior for the hidden Potts model with application to cone-beam computed tomography.
Comput. Stat. Data Anal.
Matthew T. Moores, Catriona E. Hargrave, Timothy Deegan, Michael Poulsen, Fiona Harden, Kerrie L. Mengersen
2015 — conf
Machine Learning and Visual Analytics for Consulting Business Decision Support.
BDVA
Amy Cook, Paul Pao-Yen Wu, Kerrie L. Mengersen
2015 J jnl
Pre-processing for approximate Bayesian computation in image analysis.
Stat. Comput.
Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert
2014 J jnl
Applying a validation framework to a working airport terminal model.
Expert Syst. Appl.
Jegar Pitchforth, Paul Pao-Yen Wu, Kerrie L. Mengersen
2013 J jnl
A proposed validation framework for expert elicited Bayesian Networks.
Expert Syst. Appl.
Jegar Pitchforth, Kerrie L. Mengersen
2012 J jnl
A software tool for elicitation of expert knowledge about species richness or similar counts.
Environ. Model. Softw.
Rebecca Fisher, Rebecca A. O'Leary, Samantha Low Choy, Kerrie L. Mengersen, M. Julian Caley
2012 J jnl
In praise of the referee
CoRR
Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian P. Robert
2011 J jnl
A Bayesian analysis of an agricultural field trial with three spatial dimensions.
Comput. Stat. Data Anal.
Margaret Donald, Clair L. Alston, Rick R. Young, Kerrie L. Mengersen
2011 J jnl
Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression.
IEEE ACM Trans. Comput. Biol. Bioinform.
Carla C. M. Chen, Holger Schwender, Jonathan M. Keith, Robin Nunkesser, Kerrie L. Mengersen, Paula E. Macrossan
2010 J jnl
Allowing for the effect of data binning in a Bayesian Normal mixture model.
Comput. Stat. Data Anal.
Clair L. Alston, Kerrie L. Mengersen
2010 J jnl
Elicitator: An expert elicitation tool for regression in ecology.
Environ. Model. Softw.
Allan R. James, Samantha Low Choy, Kerrie L. Mengersen
2009 J jnl
Bayesian estimation of quantile distributions.
Stat. Comput.
David Allingham, Robert A. R. King, Kerrie L. Mengersen
2009 J jnl
Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis.
Comput. Stat. Data Anal.
Darfiana Nur, David Allingham, Judith Rousseau, Kerrie L. Mengersen, Ross McVinish
2009 J jnl
Efficient Bayesian estimation of multivariate state space models.
Comput. Stat. Data Anal.
Chris M. Strickland, Ian W. Turner, Robert Denham, Kerrie L. Mengersen
2008 J jnl
Generalized Control Charts for Non-Normal Data Using
Commun. Stat. Simul. Comput.
Michele Haynes, Kerrie L. Mengersen, Paul Rippon
2008 J jnl
Semiparametric Bayesian circular statistics.
Comput. Stat. Data Anal.
Ross McVinish, Kerrie L. Mengersen
2007 J jnl
Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images.
Comput. Stat. Data Anal.
Clair L. Alston, Kerrie L. Mengersen, Christian P. Robert, J. M. Thompson, P. J. Littlefield, D. Perry, A. J. Ball
2007 J jnl
Classification based upon gene expression data: bias and precision of error rates.
Bioinform.
Ian A. Wood, Peter M. Visscher, Kerrie L. Mengersen
2005 — ch.
Bayesian Modelling for Machine Learning.
Encyclopedia of Information Science and Technology (I)
Kerrie L. Mengersen, Paul Rippon
2005 J jnl
Bayesian estimation of
Comput. Stat.
Michele Haynes, Kerrie L. Mengersen
2004 J jnl
Reservicing some customers in M/G/1 queues under three disciplines.
Int. J. Math. Math. Sci.
Mohammad Reza Salehi Rad, Kerrie L. Mengersen, Gholam Hossain Shahkar
2003 J jnl
Considering ethnicity in teaching and learning statistics: should I worry about where my students come from?
Adv. Decis. Sci.
Darfiana Nur, Kerrie L. Mengersen
2003 J jnl
Supporting statistics in the workplace: experiences with two hospitals.
Adv. Decis. Sci.
Miranda Y. Mortlock, Nancy Spencer, Kerrie L. Mengersen
1999 B conf
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry.
IDA
Paula E. Macrossan, Hussein A. Abbass, Kerrie L. Mengersen, Michael Towsey, Gerard D. Finn