Kerrie L. Mengersen

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 49

Top Topics

Matrix Factorisation

Dirichlet Process

Machine Learning

Bayesian Networks

Top Venues

Publications

Becki Cook, Stephen Corporal, Jarryd Aleckson, Renee Blackman, Glenn Kefford, David R. Lovell, Kerrie L. Mengersen
Empowering communities through data literacy: a qualitative study exploring Indigenous Australian perceptions, engagement and understanding of data. J. Community Informatics 20 (1) (2024)
Conor Hassan, Joshua J. Bon, Elizaveta Semenova, Antonietta Mira, Kerrie L. Mengersen
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. CoRR (2024)
Sandra Johnson, Kerrie L. Mengersen, Patrick O'Callaghan, Anders L. Madsen
Proposer selection in EIP-7251. CoRR (2024)
Conor Hassan, Matthew Sutton, Antonietta Mira, Kerrie L. Mengersen
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference. CoRR (2024)
Harriette Phillips, Aiden Price, Owen Forbes, Claire Boulange, Kerrie L. Mengersen, Marketa Reeves, Rebecca Glauert
Guidelines for the Creation of Analysis Ready Data. CoRR (2024)
Katie Buchhorn, Edgar Santos-Fernández, Kerrie L. Mengersen, Robert Salomone
Graph Neural Network-Based Anomaly Detection for River Network Systems. CoRR (2023)
Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. CoRR (2023)
wala Draidi Areed, Aiden Price, Kathryn Arnett, Helen Thompson, Reid Malseed, Kerrie L. Mengersen
Assessing the Spatial Structure of the Association between Attendance at Preschool and Childrens Developmental Vulnerabilities in Queensland Australia. CoRR (2023)
Edgar Santos-Fernández, Jay M. Ver Hoef, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen, Erin E. Peterson
SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks. R J. 15 (3) (2023)
Hong-Bo Xie, Caoyuan Li, Shuliang Wang, Richard Yi Da Xu, Kerrie L. Mengersen
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning. CoRR (2023)
Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes
Piecewise Deterministic Markov Processes for Bayesian Neural Networks. UAI (2023)
Thirunavukarasu Balasubramaniam, David J. Warne, Richi Nayak, Kerrie L. Mengersen
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. Int. J. Data Sci. Anal. 15 (3) (2023)
Conor Hassan, Robert Salomone, Kerrie L. Mengersen
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis. CoRR (2023)
Conor Hassan, Robert Salomone, Kerrie L. Mengersen
Federated Variational Inference Methods for Structured Latent Variable Models. CoRR (2023)
Paul Pao-Yen Wu, Fabrizio Rggeri, Kerrie L. Mengersen
Optimal partitioning of directed acyclic graphs with dependent costs between clusters. CoRR (2023)
Edgar Santos-Fernández, Jay M. Ver Hoef, Erin E. Peterson, James M. McGree, Daniel J. Isaak, Kerrie L. Mengersen
Bayesian spatio-temporal models for stream networks. Comput. Stat. Data Anal. 170 (2022)
Sandra Johnson, David Hyland-Wood, Anders L. Madsen, Kerrie L. Mengersen
Stateful to Stateless: Modelling Stateless Ethereum. MARS@ETAPS (2022)
Hong-Bo Xie, Kerrie L. Mengersen, Changan Di, Yongjian Zhang, Justin Lipman, Sabine Van Huffel
A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control. IEEE Trans. Hum. Mach. Syst. 52 (6) (2022)
Insha Ullah, Kerrie L. Mengersen, Rob J. Hyndman, James McGree
Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis. CoRR (2021)
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen
Kernelized Sparse Bayesian Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Susannah Kate Devitt, Tamara Rose Pearce, Alok Kumar Chowdhury, Kerrie L. Mengersen
A Bayesian social platform for inclusive and evidence-based decision making. CoRR (2021)
Shovanur Haque, Kerrie L. Mengersen, Steven E. Stern
Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach. J. Big Data 8 (1) (2021)
Letitia Sabburg, Alan Woodley, Kerrie L. Mengersen
A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty. CoRR (2021)
Julie Vercelloni, Jon Peppinck, Edgar Santos-Fernández, Miles McBain, Grace Heron, Tanya Dodgen, Erin E. Peterson, Kerrie L. Mengersen
Connecting virtual reality and ecology: a new tool to run seamless immersive experiments in R. PeerJ Comput. Sci. 7 (2021)
Shovanur Haque, Kerrie L. Mengersen
Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage. CoRR (2020)
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
Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef. Environ. Model. Softw. 124 (2020)
Anthony Ebert, Paul Wu, Kerrie L. Mengersen, Fabrizio Ruggeri
Computationally Efficient Simulation of Queues: The R Package queuecomputer. J. Stat. Softw. 95 (1) (2020)
Jacinta Holloway, Kate Helmstedt, Kerrie L. Mengersen
Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data. J. Big Data 7 (1) (2020)
Shovanur Haque, Kerrie L. Mengersen
MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values. CoRR (2020)
Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 68 (2020)
Abhishek Varghese, Christopher C. Drovandi, Antonietta Mira, Kerrie L. Mengersen
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation. PLoS Comput. Biol. 16 (5) (2020)
Hong-Bo Xie, Caoyuan Li, Kerrie L. Mengersen, Shuliang Wang, Richard Yi Da Xu
Nonparametric Bayesian Nonnegative Matrix Factorization. MDAI (2020)
Brigitte Colin, Kerrie L. Mengersen
Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach. Sensors 19 (2) (2019)
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. 28 (10) (2019)
Insha Ullah, Kerrie L. Mengersen
Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data. J. Big Data 6 (2019)
Hong-Bo Xie, Caoyuan Li, Richard Yi Da Xu, Kerrie L. Mengersen
Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation. LOD (2019)
Jacinta Holloway, Kate Helmstedt, Kerrie L. Mengersen, Michael Schmidt
A Decision Tree Approach for Spatially Interpolating Missing Land Cover Data and Classifying Satellite Images. Remote. Sens. 11 (15) (2019)
Charisse Farr, Fabrizio Ruggeri, Kerrie L. Mengersen
Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks - The Case of the Wayfinding Model. Entropy 20 (3) (2018)
Jacinta Holloway, Kerrie L. Mengersen
Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review. Remote. Sens. 10 (9) (2018)
Brigitte Colin, Michael Schmidt, Samuel Clifford, Alan Woodley, Kerrie L. Mengersen
Influence of Spatial Aggregation on Prediction Accuracy of Green Vegetation Using Boosted Regression Trees. Remote. Sens. 10 (8) (2018)
Xueou Wang, David J. Nott, Christopher C. Drovandi, Kerrie L. Mengersen, Michael Evans
Using History Matching for Prior Choice. Technometrics 60 (4) (2018)
Hong-Bo Xie, Bellie Sivakumar, Tjeerd W. Boonstra, Kerrie L. Mengersen
Fuzzy Entropy and Its Application for Enhanced Subspace Filtering. IEEE Trans. Fuzzy Syst. 26 (4) (2018)
Juan Sandino, Felipe Gonzalez, Kerrie L. Mengersen, Kevin J. Gaston
UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands. Sensors 18 (2) (2018)
Denise Beaudequin, Fiona Harden, Anne Roiko, Kerrie L. Mengersen
Potential of Bayesian networks for adaptive management in water recycling. Environ. Model. Softw. 91 (2017)
Felipe Gonzalez, Glen A. Montes, Eduard Puig, Sandra Johnson, Kerrie L. Mengersen, Kevin J. Gaston
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation. Sensors 16 (1) (2016)
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
Virtual reality for conservation. Web3D (2016)
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
Bayesian methods for comparing species physiological and ecological response curves. Ecol. Informatics 34 (2016)
Alan Herschtal, Farshad Foroudi, Tomas Kron, Kerrie L. Mengersen
A Comparison of Bayesian Models of Heteroscedasticity in Nested Normal Data. Commun. Stat. Simul. Comput. 45 (8) (2016)
Subrata Chakraborty, Kerrie L. Mengersen, Colin J. Fidge, Lin Ma, David Lassen
A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport. Decis. Anal. 3 (2016)
Matthew T. Moores, Christopher C. Drovandi, Kerrie L. Mengersen, Christian P. Robert
Pre-processing for approximate Bayesian computation in image analysis. Stat. Comput. 25 (1) (2015)
Matthew T. Moores, Catriona E. Hargrave, Timothy Deegan, Michael Poulsen, Fiona Harden, Kerrie L. Mengersen
An external field prior for the hidden Potts model with application to cone-beam computed tomography. Comput. Stat. Data Anal. 86 (2015)
Paul Pao-Yen Wu, Clinton Fookes, Jegar Pitchforth, Kerrie L. Mengersen
A framework for model integration and holistic modelling of socio-technical systems. Decis. Support Syst. 71 (2015)
Amy Cook, Paul Pao-Yen Wu, Kerrie L. Mengersen
Machine Learning and Visual Analytics for Consulting Business Decision Support. BDVA (2015)
Jegar Pitchforth, Paul Pao-Yen Wu, Kerrie L. Mengersen
Applying a validation framework to a working airport terminal model. Expert Syst. Appl. 41 (9) (2014)
Jegar Pitchforth, Kerrie L. Mengersen
A proposed validation framework for expert elicited Bayesian Networks. Expert Syst. Appl. 40 (1) (2013)
Rebecca Fisher, Rebecca A. O'Leary, Samantha Low Choy, Kerrie L. Mengersen, M. Julian Caley
A software tool for elicitation of expert knowledge about species richness or similar counts. Environ. Model. Softw. 30 (2012)
Nicolas Chopin, Andrew Gelman, Kerrie L. Mengersen, Christian P. Robert
In praise of the referee CoRR (2012)
Margaret Donald, Clair L. Alston, Rick R. Young, Kerrie L. Mengersen
A Bayesian analysis of an agricultural field trial with three spatial dimensions. Comput. Stat. Data Anal. 55 (12) (2011)
Carla C. M. Chen, Holger Schwender, Jonathan M. Keith, Robin Nunkesser, Kerrie L. Mengersen, Paula E. Macrossan
Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (6) (2011)
Clair L. Alston, Kerrie L. Mengersen
Allowing for the effect of data binning in a Bayesian Normal mixture model. Comput. Stat. Data Anal. 54 (4) (2010)
Allan R. James, Samantha Low Choy, Kerrie L. Mengersen
Elicitator: An expert elicitation tool for regression in ecology. Environ. Model. Softw. 25 (1) (2010)
Chris M. Strickland, Ian W. Turner, Robert Denham, Kerrie L. Mengersen
Efficient Bayesian estimation of multivariate state space models. Comput. Stat. Data Anal. 53 (12) (2009)
David Allingham, R. A. R. King, Kerrie L. Mengersen
Bayesian estimation of quantile distributions. Stat. Comput. 19 (2) (2009)
Darfiana Nur, David Allingham, Judith Rousseau, Kerrie L. Mengersen, Ross McVinish
Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis. Comput. Stat. Data Anal. 53 (5) (2009)
Ross McVinish, Kerrie L. Mengersen
Semiparametric Bayesian circular statistics. Comput. Stat. Data Anal. 52 (10) (2008)
Michele Haynes, Kerrie L. Mengersen, Paul Rippon
Distributions. Commun. Stat. Simul. Comput. 37 (9) (2008)
Ian A. Wood, Peter M. Visscher, Kerrie L. Mengersen
Classification based upon gene expression data: bias and precision of error rates. Bioinform. 23 (11) (2007)
Clair L. Alston, Kerrie L. Mengersen, Christian P. Robert, J. M. Thompson, P. J. Littlefield, D. Perry, A. J. Ball
Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images. Comput. Stat. Data Anal. 51 (9) (2007)
Michele Haynes, Kerrie L. Mengersen
distributions using MCMC. Comput. Stat. 20 (1) (2005)
M. R. Salehi-Rad, Kerrie L. Mengersen, Gholam Hossain Shahkar
Reservicing some customers in M/G/1 queues under three disciplines. Int. J. Math. Math. Sci. 2004 (32) (2004)
Darfiana Nur, Kerrie L. Mengersen
Considering ethnicity in teaching and learning statistics: should I worry about where my students come from? Adv. Decis. Sci. 7 (2) (2003)
Miranda Y. Mortlock, Nancy Spencer, Kerrie L. Mengersen
Supporting statistics in the workplace: experiences with two hospitals. Adv. Decis. Sci. 7 (2) (2003)
Paula E. Macrossan, Hussein A. Abbass, Kerrie L. Mengersen, Michael Towsey, Gerard D. Finn
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry. IDA (1999)