TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs-Reference-Cited by-同舟云学术

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TRustworthy Uncertainty Propagation for Sequential Time-Series Analysis in RNNs

Published:2023 Issue: Volume: Page:1-13
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Dera Dimah¹^ORCID,Ahmed Sabeen²,Bouaynaya Nidhal C.³^ORCID,Rasool Ghulam⁴^ORCID

Affiliation:

1. Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, NY, USA

2. Electrical Engineering Department, University of South Florida, FL, USA

3. Electrical and Computer Engineering Department, Rowan University, NJ, USA

4. Machine Learning Department, Moffit Cancer Center, FL

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/10159485.pdf?arnumber=10159485

Reference73 articles.

1. Robust Online Time Series Prediction with Recurrent Neural Networks

2. Time series forecasting with recurrent neural networks in presence of missing data;Choi,2018

3. A review on the long short-term memory model

4. A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

5. Empirical evaluation of gated recurrent neural networks on sequence modeling;Chung,2014

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