The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Exploiting multi-channels deep convolutional neural networks for multivariate time series classification
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Proceedings of the 24th international conference on Machine learning
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Proceedings of the 25th international conference on Machine learning
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Convolutional networks for images, speech, and time series
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Cited by
Deep learning for time series classification: a review
Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L., & Muller, P.-A. (2019) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-019-00619-1 · Cited by 3,342
Time series classification from scratch with deep neural networks: A strong baseline
Wang, Z., Yan, W., & Oates, T. (2017) · 2017 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2017.7966039 · Cited by 2,299
Deep learning for sensor-based activity recognition: A survey
Wang, J., Chen, Y., Hao, S., Peng, X., & Hu, L. (2019) · Pattern Recognition Letters · doi:10.1016/j.patrec.2018.02.010 · Cited by 2,014
“For multi-modal signals, it is better to use CNN since (Bhattacharya and Lane, 2016) Body-worn, ambiemt RBM Gesture, ADL, transportation Self, D01 (Chen and Xue, 2015) Body-worn CNN ADL Self (Chen et al., 2016b) Body-worn CNN ADL D06 (Edel and K¨oppe, 2016) Body-worn RNN ADL D01, D04, Self (Fang and Hu, 2014) Object,…”
InfluentialSagheer, A., & Kotb, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-55320-6 · Cited by 351
Convolutional neural network and long short-term memory models for ice-jam predictions
Madaeni, F., Chokmani, K., Lhissou, R., Homayouni, S., Gauthier, Y., & Tolszczuk-Leclerc, S. (2022) · The Cryosphere · doi:10.5194/tc-16-1447-2022 · Cited by 51
Metadata
- Authors
- Zheng, Y., Liu, Q., Chen, E., Ge, Y., & Zhao, J. L.
- Venue
- Frontiers of Computer Science
- Published
- 2015-09-08
- Volume
- 10
- Issue
- 1
- Pages
- 96-112
- ISSN
- 2095-2228 (ISSN-L)
- 2095-2236
- OpenAlex
- W1850325679
- Cited by
- 273
- References
- 52
- FWCI
- 9.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. https://app.cochat.ai/papers/10.1007/s11704-015-4478-2
- The paper
- Zheng, Y., Liu, Q., Chen, E., Ge, Y., & Zhao, J. L. (2016). Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers of Computer Science. https://doi.org/10.1007/s11704-015-4478-2
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
