Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness-Reference-Cited by-同舟云学术

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Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness

Published:2018-10 Issue:10 Volume:29 Page:4569-4578
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Mori Usue^ORCID,Mendiburu Alexander^ORCID,Dasgupta Sanjoy,Lozano Jose A.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/8468244/08115243.pdf?arnumber=8115243

Cited by 67 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Representation Learning of Tangled Key-Value Sequence Data for Early Classification;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach;ACM Transactions on Knowledge Discovery from Data;2024-03-26

3. A Time Series Segment Finding Motifs Based On Sliding Window Algorithm;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

4. A Proactive Self-Adaptation Approach Based on Ensemble Prediction for Service-Based Systems;Journal of Circuits, Systems and Computers;2024-03-14

5. Memory Shapelet Learning for Early Classification of Streaming Time Series;IEEE Transactions on Cybernetics;2024

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