632 citations · 1.7k across the 18 of their papers we have counts for
4 papers · 1 filter
Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation
Tim De Ryck, Maarten De Vos, Alexander Bertrand
Change point detection (CPD) aims to locate abrupt property changes in time series data. Recent CPD methods demonstrated the potential of using deep learning techniques, but often…
Monitoring Depression in Bipolar Disorder using Circadian Measures from Smartphone Accelerometers
Oliver Carr, Fernando Andreotti, Kate E. A. Saunders +3
Current management of bipolar disorder relies on self-reported questionnaires and interviews with clinicians. The development of objective measures of deteriorating mood may also a…
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
Huy Phan, Oliver Y. Chén, Minh C. Tran +3
Automating sleep staging is vital to scale up sleep assessment and diagnosis to serve millions experiencing sleep deprivation and disorders and enable longitudinal sleep monitoring…
Personalized Automatic Sleep Staging with Single-Night Data: a Pilot Study with KL-Divergence Regularization
Huy Phan, Kaare Mikkelsen, Oliver Y. Chén +4
Brain waves vary between people. An obvious way to improve automatic sleep staging for longitudinal sleep monitoring is personalization of algorithms based on individual characteri…