165 citations · 1.6k across the 96 of their papers we have counts for
Showing 2018Show all
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q-bio.QM2018★ 39 cited
Using path signatures to predict a diagnosis of Alzheimer's disease
P. J. Moore, J. Gallacher, T. J. Lyons
The path signature is a means of feature generation that can encode nonlinear interactions in the data as well as the usual linear features. It can distinguish the ordering of time…
q-bio.QM2018★ 139 cited
Random forest prediction of Alzheimer's disease using pairwise selection from time series data
Paul Moore, Terry Lyons, John Gallacher
Time-dependent data collected in studies of Alzheimer's disease usually has missing and irregularly sampled data points. For this reason time series methods which assume regular sa…
stat.ML2018
Labelling as an unsupervised learning problem
Terry Lyons, Imanol Perez Arribas
Unravelling hidden patterns in datasets is a classical problem with many potential applications. In this paper, we present a challenge whose objective is to discover nonlinear rela…