Kerrie L. Mengersen

Orcid: 0000-0001-8625-9168

According to our database1, Kerrie L. Mengersen authored at least 76 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Perlin noise generation of physiologically realistic cardiac fibrosis.
Medical Image Anal., 2024

Empowering communities through data literacy: a qualitative study exploring Indigenous Australian perceptions, engagement and understanding of data.
J. Community Informatics, 2024

Designing the Australian Cancer Atlas: visualizing geostatistical model uncertainty for multiple audiences.
J. Am. Medical Informatics Assoc., 2024

Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations.
CoRR, 2024

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference.
CoRR, 2024

Proposer selection in EIP-7251.
CoRR, 2024

Guidelines for the Creation of Analysis Ready Data.
CoRR, 2024

2023
SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks.
R J., September, 2023

Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization.
Int. J. Data Sci. Anal., April, 2023

Optimal partitioning of directed acyclic graphs with dependent costs between clusters.
CoRR, 2023

Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis.
CoRR, 2023

Assessing the Spatial Structure of the Association between Attendance at Preschool and Childrens Developmental Vulnerabilities in Queensland Australia.
CoRR, 2023

Graph Neural Network-Based Anomaly Detection for River Network Systems.
CoRR, 2023

Federated Variational Inference Methods for Structured Latent Variable Models.
CoRR, 2023

A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning.
CoRR, 2023

Piecewise Deterministic Markov Processes for Bayesian Neural Networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022
A Variational Bayesian Gaussian Mixture-Nonnegative Matrix Factorization Model to Extract Movement Primitives for Robust Control.
IEEE Trans. Hum. Mach. Syst., 2022

Bayesian spatio-temporal models for stream networks.
Comput. Stat. Data Anal., 2022

Stateful to Stateless: Modelling Stateless Ethereum.
Proceedings of the Proceedings Fifth Workshop on Models for Formal Analysis of Real Systems, 2022

2021
Kernelized Sparse Bayesian Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers.
Remote. Sens., 2021

Connecting virtual reality and ecology: a new tool to run seamless immersive experiments in R.
PeerJ Comput. Sci., 2021

Assessing the accuracy of record linkages with Markov chain based Monte Carlo simulation approach.
J. Big Data, 2021

A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty.
CoRR, 2021

Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis.
CoRR, 2021

A Bayesian social platform for inclusive and evidence-based decision making.
CoRR, 2021

2020
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures.
IEEE Trans. Signal Process., 2020

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation.
PLoS Comput. Biol., 2020

Computationally Efficient Simulation of Queues: The R Package queuecomputer.
J. Stat. Softw., 2020

Stochastic spatial random forest (SS-RF) for interpolating probabilities of missing land cover data.
J. Big Data, 2020

Monitoring through many eyes: Integrating disparate datasets to improve monitoring of the Great Barrier Reef.
Environ. Model. Softw., 2020

Extending the MaCSim approach using similarity weight matrix to assess the accuracy of record linkage.
CoRR, 2020

MaCSim approach to assess the accuracy of individual matched records with varying block sizes and cut-off values.
CoRR, 2020

Nonparametric Bayesian Nonnegative Matrix Factorization.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

2019
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator.
IEEE Trans. Image Process., 2019

Estimating Spatial and Temporal Trends in Environmental Indices Based on Satellite Data: A Two-Step Approach.
Sensors, 2019

A Decision Tree Approach for Spatially Interpolating Missing Land Cover Data and Classifying Satellite Images.
Remote. Sens., 2019

Bayesian mixture models and their Big Data implementations with application to invasive species presence-only data.
J. Big Data, 2019

Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

2018
Fuzzy Entropy and Its Application for Enhanced Subspace Filtering.
IEEE Trans. Fuzzy Syst., 2018

Using History Matching for Prior Choice.
Technometrics, 2018

UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands.
Sensors, 2018

Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review.
Remote. Sens., 2018

Influence of Spatial Aggregation on Prediction Accuracy of Green Vegetation Using Boosted Regression Trees.
Remote. Sens., 2018

Prior and Posterior Linear Pooling for Combining Expert Opinions: Uses and Impact on Bayesian Networks - The Case of the Wayfinding Model.
Entropy, 2018

2017
Potential of Bayesian networks for adaptive management in water recycling.
Environ. Model. Softw., 2017

2016
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.
Sensors, 2016

Bayesian methods for comparing species physiological and ecological response curves.
Ecol. Informatics, 2016

A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport.
Decis. Anal., 2016

A Comparison of Bayesian Models of Heteroscedasticity in Nested Normal Data.
Commun. Stat. Simul. Comput., 2016

Virtual reality for conservation.
Proceedings of the 21st International Conference on Web3D Technology, 2016

2015
Pre-processing for approximate Bayesian computation in image analysis.
Stat. Comput., 2015

A framework for model integration and holistic modelling of socio-technical systems.
Decis. Support Syst., 2015

An external field prior for the hidden Potts model with application to cone-beam computed tomography.
Comput. Stat. Data Anal., 2015

Machine Learning and Visual Analytics for Consulting Business Decision Support.
Proceedings of the Big Data Visual Analytics, 2015

2014
Applying a validation framework to a working airport terminal model.
Expert Syst. Appl., 2014

2013
A proposed validation framework for expert elicited Bayesian Networks.
Expert Syst. Appl., 2013

2012
A software tool for elicitation of expert knowledge about species richness or similar counts.
Environ. Model. Softw., 2012

In praise of the referee
CoRR, 2012

2011
Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

A Bayesian analysis of an agricultural field trial with three spatial dimensions.
Comput. Stat. Data Anal., 2011

2010
Elicitator: An expert elicitation tool for regression in ecology.
Environ. Model. Softw., 2010

Allowing for the effect of data binning in a Bayesian Normal mixture model.
Comput. Stat. Data Anal., 2010

2009
Bayesian estimation of quantile distributions.
Stat. Comput., 2009

Efficient Bayesian estimation of multivariate state space models.
Comput. Stat. Data Anal., 2009

Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis.
Comput. Stat. Data Anal., 2009

2008
Generalized Control Charts for Non-Normal Data Using <i>g</i>-and-<i>k</i> Distributions.
Commun. Stat. Simul. Comput., 2008

Semiparametric Bayesian circular statistics.
Comput. Stat. Data Anal., 2008

2007
Bayesian mixture models in a longitudinal setting for analysing sheep CAT scan images.
Comput. Stat. Data Anal., 2007

Classification based upon gene expression data: bias and precision of error rates.
Bioinform., 2007

2005
Bayesian estimation of<i>g</i>-and-<i>k</i> distributions using MCMC.
Comput. Stat., 2005

Bayesian Modelling for Machine Learning.
Proceedings of the Encyclopedia of Information Science and Technology (5 Volumes), 2005

2004
Reservicing some customers in M/G/1 queues under three disciplines.
Int. J. Math. Math. Sci., 2004

2003
Considering ethnicity in teaching and learning statistics: should I worry about where my students come from?
Adv. Decis. Sci., 2003

Supporting statistics in the workplace: experiences with two hospitals.
Adv. Decis. Sci., 2003

1999
Bayesian Neural Network Learning for Prediction in the Australian Dairy Industry.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999


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