174 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of MelbourneAU9 papers
- Peter Doherty InstituteAU6 papers
- Murdoch Children's Research InstituteAU3 papers
- Royal Children's HospitalAU3 papers
- Australian National UniversityAU2 papers
- Commonwealth Scientific and Industrial Research OrganisationAU2 papers
- Google (United States)US2 papers
- Queensland University of TechnologyAU2 papers
- RMIT EuropeES2 papers
- RMIT UniversityAU2 papers
- The University of AdelaideAU2 papers
- The University of QueenslandAU2 papers
19 papers
From Passersby to Placemaking: Designing Autonomous Vehicle-Pedestrian Encounters for an Urban Shared Space
Yiyuan Wang, Martin Tomitsch, Marius Hoggenmüller +3
Autonomous vehicles (AVs) tend to disrupt the atmosphere and pedestrian experience in urban shared spaces, undermining the focus of these spaces on people and placemaking. We inves…
Instability of oxide perovskite surfaces induced by vacancy formation
Ned Thaddeus Taylor, Michael Thomas Morgan, Steven Paul Hepplestone
This work presents a first principles study of the (001) surface energetics of nine oxide perovskites, with a focus on the role of surface vacancies in determining termination stab…
Prevalence and Impacts of Image-Based Sexual Abuse Victimization: A Multinational Study
Rebecca Umbach, Nicola Henry, Gemma Beard
Image-based sexual abuse (IBSA) refers to the nonconsensual creating, taking, or sharing of intimate images, including threats to share intimate images. Despite the significant har…
Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity
Minxiao Chen, Haitao Yuan, Nan Jiang +2
Traffic accidents pose a significant risk to human health and property safety. Therefore, to prevent traffic accidents, predicting their risks has garnered growing interest. We arg…
Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries
Rebecca Umbach, Nicola Henry, Gemma Beard +1
Deepfake technologies have become ubiquitous, "democratizing" the ability to manipulate photos and videos. One popular use of deepfake technology is the creation of sexually explic…
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch +1
Traffic scenario categorisation is an essential component of automated driving, for e.\,g., in motion planning algorithms and their validation. Finding new relevant scenarios witho…
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map
Wei Shao, Arian Prabowo, Sichen Zhao +2
To model and forecast flight delays accurately, it is crucial to harness various vehicle trajectory and contextual sensor data on airport tarmac areas. These heterogeneous sensor d…
Risk mapping for COVID-19 outbreaks in Australia using mobility data
Cameron Zachreson, Lewis Mitchell, Michael J. Lydeamore +3
COVID-19 is highly transmissible and containing outbreaks requires a rapid and effective response. Because infection may be spread by people who are pre-symptomatic or asymptomatic…
From climate change to pandemics: decision science can help scientists have impact
Christopher M. Baker, Patricia T. Campbell, Iadine Chades +8
Scientific knowledge and advances are a cornerstone of modern society. They improve our understanding of the world we live in and help us navigate global challenges including emerg…
Entropic identification of the first order freezing transition of a suspension of hard sphere particles
W. van Megen, H. J. Schöpe
We analyse the experimental particle current auto correlation function (CAF) of suspensions of hard spheres. Interactions between the particles are mediated by thermally activated…
xQSM: Quantitative Susceptibility Mapping with Octave Convolutional and Noise Regularized Neural Networks
Yang Gao, Xuanyu Zhu, Bradford A. Moffat +6
Quantitative susceptibility mapping (QSM) is a valuable magnetic resonance imaging (MRI) contrast mechanism that has demonstrated broad clinical applications. However, the image re…
Predicting Personality Traits from Physical Activity Intensity
Nan Gao, Wei Shao, Flora D Salim
Call and messaging logs from mobile devices have been used to predict human personality traits successfully in recent years. However, the widely available accelerometer data is not…
Optimal Bayesian design for model discrimination via classification
Markus Hainy, David J. Price, Olivier Restif +1
Performing optimal Bayesian design for discriminating between competing models is computationally intensive as it involves estimating posterior model probabilities for thousands of…
Non-neurotoxic Nanodiamond Probes for Intraneuronal Temperature Mapping
David A. Simpson, Emma Morrisroe, Julia M. McCoey +6
Optical bio-markers have been used extensively for intracellular imaging with high spatial and temporal resolution. Extending the modality of these probes is a key driver in cell b…
Formation of surface nanodroplets under controlled flow conditions
Xuehua Zhanga, Ziyang Lu, Huanshu Tan +4
Nanodroplets on a solid surface (i.e. surface nanodroplets) have practical implications for high-throughput chemical and biological analysis, lubrications, lab-on-chip devices, and…
An Induced Natural Selection Heuristic for Finding Optimal Bayesian Experimental Designs
David J. Price, Nigel G. Bean, Joshua V. Ross +1
Bayesian optimal experimental design has immense potential to inform the collection of data so as to subsequently enhance our understanding of a variety of processes. However, a ma…
A biological model of scabies infection dynamics and treatment explains why mass drug administration does not lead to elimination
M. Lydeamore, P. T. Campbell, D. G. Regan +7
Despite a low global prevalence, infections with Sarcoptes scabiei, or scabies, are still common in remote communities such as in northern Australia and the Solomon Islands. Mass d…
Detecting functional decline from normal ageing to dementia: development and validation of a short version of the Amsterdam IADL Questionnaire
Roos J. Jutten, Carel F. W. Peeters, Sophie M. J. Leijdesdorff +5
INTRODUCTION: Detecting functional decline from normal ageing to dementia is relevant for diagnostic and prognostic purposes. Therefore, the Amsterdam IADL Questionnaire (A-IADL-Q)…
On the role of T cells in determining recovery time from influenza virus infection
Pengxing Cao, Zhongfang Wang, Ada W. C. Yan +5
Myriad experiments have identified an important role for T cell response mechanisms in determining recovery from influenza A virus infection. Animal models of influenza…