5 citations
- The University of QueenslandAU4 papers
- ARC Centre of Excellence for Mathematical and Statistical FrontiersAU1 paper
- Australian Research CouncilAU1 paper
- Centre of Excellence for Biosecurity Risk AnalysisAU1 paper
- Oregon State UniversityUS1 paper
- Queensland Department of Environment and ScienceAU1 paper
- Queensland University of TechnologyAU1 paper
- The University of MelbourneAU1 paper
- The University of SydneyAU1 paper
- University of OxfordGB1 paper
- University of TasmaniaAU1 paper
- University of WollongongAU1 paper
6 papers
FedSC: Federated Learning with Semantic-Aware Collaboration
Huan Wang, Haoran Li, Huaming Chen +3
Federated learning (FL) aims to train models collaboratively across clients without sharing data for privacy-preserving. However, one major challenge is the data heterogeneity issu…
From trees to traits: A review of advances in PhyloG2P methods and future directions
Arlie R. Macdonald, Maddie E. James, Jonathan D. Mitchell +1
Mapping genotypes to phenotypes (G2P) is a fundamental goal in biology. So called PhyloG2P methods are a relatively new set of tools that leverage replicated evolution in phylogene…
Realizations with five subsquares
Tara Kemp
Given an integer partition of , is it possible to find an order latin square with disjoint subsquares of orders ? This question was…
An application of node and edge nonlinear hypergraph centrality to a protein complex hypernetwork
Sarah Lawson, Diane Donovan, James Lefevre
The use of graph centrality measures applied to biological networks, such as protein interaction networks, underpins much research into identifying key players within biological pr…
Latin hypercubes realizing integer partitions
Diane Donovan, Tara Kemp, James Lefevre
For an integer partition , a 2-realization of this partition is a latin square of order with disjoint subsquares of orders . The existence…
Analysis of sloppiness in model simulations: unveiling parameter uncertainty when mathematical models are fitted to data
Gloria M. Monsalve-Bravo, Brodie A. J. Lawson, Christopher Drovandi +7
This work introduces a comprehensive approach to assess the sensitivity of model outputs to changes in parameter values, constrained by the combination of prior beliefs and data. T…