Convolutional neural networks for time series classification

By Bendong Zhao, Huan-zhang Lu, Shangfeng Chen, Junliang Liu, Dongya Wu. 2017

326 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/9c0a20debcd99ae14807196601ee8efe5f0003df

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Pierre-Alain Muller
2. Jonathan Weber
3. Isaac Triguero
4. Hassan Ismail Fawaz
5. Enrique Onieva
6. Mikel Canizo
7. Germain Forestier
8. Lhassane Idoumghar

In Signal Processing

1. Pierre-Alain Muller
2. Jonathan Weber
3. Hassan Ismail Fawaz
4. Germain Forestier
5. Lhassane Idoumghar
6. Angel Conde
7. Geoffrey I. Webb
8. Angus Dempster

Citations in the corpus

• Deep learning for time series classification: a review (2018, methodology): “In Le Guennec et al. (2016); Cui et al. (2016); Wang et al. (2017b); Zhao et al. (2017), traditional CNNs were also validated on the UCR/UEA archive.”
• Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study (2019, methodology): “Unlike other approaches [26, 32, 33], we utilize an independent CNN to process each sensor data.”