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A Self-Supervised Learning-based Approach to Clustering Multivariate
  Time-Series Data with Missing Values (SLAC-Time): An Application to TBI
  Phenotyping

A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping

27 February 2023
Hamid Ghaderi
Brandon Foreman
Amin Nayebi
Sindhu Tipirneni
Chandan K. Reddy
V. Subbian
    AI4TS
ArXivPDFHTML

Papers citing "A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping"

2 / 2 papers shown
Title
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series
  Clustering
Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering
Hamid Ghaderi
Brandon Foreman
Chandan K. Reddy
V. Subbian
22
1
0
15 Jan 2024
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
246
1,900
0
06 Jun 2016
1