5 papers
Network memory in the movement of hospital patients carrying drug-resistant bacteria
Ashleigh C. Myall, Robert L. Peach, Andrea Y. Weiße +4
Hospitals constitute highly interconnected systems that bring into contact an abundance of infectious pathogens and susceptible individuals, thus making infection outbreaks both co…
Data-driven modelling and characterisation of task completion sequences in online courses
Robert L. Peach, Sam F. Greenbury, Iain G. Johnston +3
The intrinsic temporality of learning demands the adoption of methodologies capable of exploiting time-series information. In this study we leverage the sequence data framework and…
Semi-supervised classification on graphs using explicit diffusion dynamics
Robert L. Peach, Alexis Arnaudon, Mauricio Barahona
Classification tasks based on feature vectors can be significantly improved by including within deep learning a graph that summarises pairwise relationships between the samples. In…
Scale-dependent measure of network centrality from diffusion dynamics
Alexis Arnaudon, Robert L. Peach, Mauricio Barahona
Classic measures of graph centrality capture distinct aspects of node importance, from the local (e.g., degree) to the global (e.g., closeness). Here we exploit the connection betw…
Data-driven unsupervised clustering of online learner behaviour
Robert L. Peach, Sophia N. Yaliraki, David Lefevre +1
The widespread adoption of online courses opens opportunities for the analysis of learner behaviour and for the optimisation of web-based material adapted to observed usage. Here w…