T2I-Net: Time Series Classification via Deep Sequence-to-image Transformation Networks-Reference-Cited by-同舟云学术

T2I-Net: Time Series Classification via Deep Sequence-to-image Transformation Networks

Published:2022-12-15 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Networking, Sensing and Control (ICNSC)
language:
Short-container-title:

Author:

Yu Longxuan¹,Li Jiajia²,Wang Tianyi¹,Tan Feng¹,He Cheng³,Song Haitao⁴

Affiliation:

1. Shanghai Artificial Intelligence Research Institute, Co., Ltd,Shanghai,China

2. Shanghai Jiao Tong University & Shanghai Artificial Intelligence Research Institute, Co., Ltd,Department of Computer Science and Engineering,Shanghai,China

3. Shanghai Dingmao Information Technology Inc.,Shanghai,China

4. Shanghai Jiao Tong University & Shanghai Artificial Intelligence Research Institute, Co., Ltd,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10004025/10004026/10004078.pdf?arnumber=10004078

Reference28 articles.

1. Weighted kNN and constrained elastic distances for time-series classification

2. Time series clas-sification from scratch with deep neural networks: A strong baseline;wang;2017 International Joint Conference on Neural Networks (IJCNN) IEEE,0

3. LSTM Fully Convolutional Networks for Time Series Classification

4. Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification

5. Multi-scale convolutional neural networks for time series classification;cui;arXiv Computer Vision and Pattern Recognition,2016

Cited by 1 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. MA-DG: Learning Features of Sequences in Different Dimensions for Min-Entropy Evaluation via 2D-CNN and Multi-Head Self-Attention;IEEE Transactions on Information Forensics and Security;2024