100 citations · 471 across the 32 of their papers we have counts for
3 papers · 1 filter
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia
Beatrice Taylor, Cameron Shand, Chris J. D. Hardy +1
Machine learning models offer the potential to understand diverse datasets in a data-driven way, powering insights into individual disease experiences and ensuring equitable health…
A coupled-mechanisms modelling framework for neurodegeneration
Tiantian He, Elinor Thompson, Anna Schroder +4
Computational models of neurodegeneration aim to emulate the evolving pattern of pathology in the brain during neurodegenerative disease, such as Alzheimer's disease. Previous stud…
Expectation Maximization Pseudo Labels
Moucheng Xu, Yukun Zhou, Chen Jin +5
In this paper, we study pseudo-labelling. Pseudo-labelling employs raw inferences on unlabelled data as pseudo-labels for self-training. We elucidate the empirical successes of pse…