# Deep Neural Network Ensembles for Time Series Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-neural-network-ensembles-for-time-series-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hassan Ismail Fawaz,Germain Forestier,Jonathan Weber,Lhassane Idoumghar,Pierre-Alain Müller |
| Citations | 94 |
| DOI | 10.1109/ijcnn.2019.8852316 |
| Fields | Computer Science,Economics, Econometrics and Finance |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/1903.06602 |
| OpenAlex ID | https://openalex.org/W2978259066 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Hassan Ismail Fawaz](https://scholariq.org/researchers/hassan-ismail-fawaz/)
- [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/)
- [Complex Systems and Time Series Analysis](https://scholariq.org/topics/complex-systems-and-time-series-analysis/)

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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.