AUTOSHAPE: An Autoencoder-Shapelet Approach for Time Series Clustering

no code implementations • 6 Aug 2022 • Guozhong Li, Byron Choi, Jianliang Xu, Sourav S Bhowmick, Daphne Ngar-yin Mah, Grace Lai-Hung Wong

To study the performance of multivariate time series (MTS), we evaluate AUTOSHAPE on 30 UEA archive datasets with 5 competitive methods.

Clustering Representation Learning +2

Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications

no code implementations • 31 Oct 2016 • Frodo Kin Sun Chan, Andy J. Ma, Pong C. Yuen, Terry Cheuk-Fung Yip, Yee-Kit Tse, Vincent Wai-Sun Wong, Grace Lai-Hung Wong

Regular medical records are useful for medical practitioners to analyze and monitor patient health status especially for those with chronic disease, but such records are usually incomplete due to unpunctuality and absence of patients.

Imputation Matrix Completion +1