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Improving Irregularly Sampled Time Series Learning with Dense
  Descriptors of Time

Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time

20 March 2020
R. T. Sousa
Lucas A. Pereira
A. S. Soares
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Improving Irregularly Sampled Time Series Learning with Dense Descriptors of Time"

5 / 5 papers shown
Enabling Automatic Self-Talk Detection via Earables
Enabling Automatic Self-Talk Detection via Earables
Euihyeok Lee
Seonghyeon Kim
Sanghun Im
Heung-Seon Oh
Seungwoo Kang
121
0
0
10 Nov 2025
Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture
Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture
Vincent Jeanselme
G. Martin
M. Sperrin
Niels Peek
Brian D. M. Tom
Jessica Barrett
165
1
0
07 Aug 2025
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
Vincent Jeanselme
G. Martin
Niels Peek
M. Sperrin
Brian D. M. Tom
Jessica Barrett
OOD
204
6
0
26 May 2022
Graph-Guided Network for Irregularly Sampled Multivariate Time Series
Graph-Guided Network for Irregularly Sampled Multivariate Time SeriesInternational Conference on Learning Representations (ICLR), 2021
Xiang Zhang
M. Zeman
Theodoros Tsiligkaridis
Marinka Zitnik
MLAUAI4TS
394
159
0
11 Oct 2021
Evaluating Progress on Machine Learning for Longitudinal Electronic
  Healthcare Data
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data
David R. Bellamy
Leo Anthony Celi
Andrew L. Beam
LM&MAOOD
288
23
0
02 Oct 2020
1
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