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Spatiotemporal Attention for Multivariate Time Series Prediction and
  Interpretation

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation

11 August 2020
Tryambak Gangopadhyay
Sin Yong Tan
Zhanhong Jiang
Rui Meng
S. Sarkar
    AI4TS
ArXivPDFHTML

Papers citing "Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation"

5 / 5 papers shown
Title
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
Anh-Duy Pham
Olivier Basole Kashongwe
Martin Atzmueller
Tim Romer
41
0
0
25 Apr 2025
On the balance between the training time and interpretability of neural
  ODE for time series modelling
On the balance between the training time and interpretability of neural ODE for time series modelling
Yakov Golovanev
A. Hvatov
AI4TS
22
1
0
07 Jun 2022
Earthquake Nowcasting with Deep Learning
Earthquake Nowcasting with Deep Learning
Geoffrey C. Fox
John B. Rundle
A. Donnellan
Bo Feng
AI4Cl
AI4CE
35
6
0
18 Dec 2021
Cross-Modal Virtual Sensing for Combustion Instability Monitoring
Cross-Modal Virtual Sensing for Combustion Instability Monitoring
Tryambak Gangopadhyay
V. Ramanan
S. Chakravarthy
S. Sarkar
21
1
0
04 Oct 2021
Crop Yield Prediction Integrating Genotype and Weather Variables Using
  Deep Learning
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Johnathon Shook
Tryambak Gangopadhyay
Linjian Wu
Baskar Ganapathysubramanian
S. Sarkar
Asheesh K. Singh
32
131
0
24 Jun 2020
1