The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
EEG signal classification using PCA, ICA, LDA and support vector machines
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Citations
Cites
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Cited by
Deep learning for electroencephalogram (EEG) classification tasks: a review
Craik, A., He, Y., & Contreras-Vidal, J. L. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab0ab5 · Cited by 1,758
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
Bashivan, P., Rish, I., Yeasin, M., & Codella, N. (2015) · arXiv · doi:10.48550/arxiv.1511.06448 · Cited by 836
Houssein, E. H., Hammad, A., & Ali, A. A. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07292-4 · Cited by 426
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition
Zhang, D., Yao, L., Chen, K., Wang, S., Chang, X., & Liu, Y. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2019.2905157 · Cited by 365
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
Khan, M. J., Hong, M. J., & Hong, K.-S. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00244 · Cited by 280
Metadata
- Authors
- Subasi, A., & Ismail Gursoy, M.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 37
- Issue
- 12
- Pages
- 8659-8666
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2005791255
- Cited by
- 1,209
- References
- 2
- FWCI
- 13.94
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: EEG signal classification using PCA, ICA, LDA and support vector machines. https://app.cochat.ai/papers/10.1016/j.eswa.2010.06.065
- The paper
- Subasi, A., & Ismail Gursoy, M. (2010). EEG signal classification using PCA, ICA, LDA and support vector machines. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2010.06.065
Data sources
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.
