# Deep learning for time series classification: a review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-time-series-classification-a-review/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hassan Ismail Fawaz,Germain Forestier,Jonathan Weber,Lhassane Idoumghar,Pierre-Alain Müller |
| Citations | 3,273 |
| DOI | 10.1007/s10618-019-00619-1 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://link.springer.com/content/pdf/10.1007/s10618-019-00619-1.pdf |
| OpenAlex ID | https://openalex.org/W2892035503 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Hassan Ismail Fawaz](https://scholariq.org/researchers/hassan-ismail-fawaz/)
- [Germain Forestier](https://scholariq.org/researchers/germain-forestier/)
- [Jonathan Weber](https://scholariq.org/researchers/jonathan-weber/)
- [Lhassane Idoumghar](https://scholariq.org/researchers/lhassane-idoumghar/)
- [Pierre-Alain Müller](https://scholariq.org/researchers/pierre-alain-muller/)

## Paper primary topic

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)

## Paper topics

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.