The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Combined neural network model employing wavelet coefficients for EEG signals classification
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Cites
Neural Networks: A Comprehensive Foundation
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Training feedforward networks with the Marquardt algorithm
Hagan, M. T., & Menhaj, M. B. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.329697 · Cited by 7,701
Neural networks: A comprehensive foundation
Tadeusiewicz, R. (1995) · Control Engineering Practice · doi:10.1016/0967-0661(95)90080-2 · Cited by 7,218
The wavelet transform, time-frequency localization and signal analysis
Daubechies, I. (1990) · IEEE Transactions on Information Theory · doi:10.1109/18.57199 · Cited by 6,483
Practical methods of optimization
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The Levenberg-Marquardt algorithm: Implementation and theory
Moré, J. J. (1978) · Lecture Notes in Mathematics · doi:10.1007/bfb0067700 · Cited by 5,773
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Artificial neural networks: fundamentals, computing, design, and application
Basheer, I. A., & Hajmeer, M. (2000) · Journal of Microbiological Methods · doi:10.1016/s0167-7012(00)00201-3 · Cited by 3,231
Andrzejak, R. G., Lehnertz, K., Mormann, F., Rieke, C., David, P., & Elger, C. E. (2001) · Physical Review E · doi:10.1103/physreve.64.061907 · Cited by 3,032
Cited by
Intelligent Fault Detection Scheme for Microgrids With Wavelet-Based Deep Neural Networks
Yu, J. J. Q., Hou, Y., Lam, A. Y. S., & Li, V. O. K. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2776310 · Cited by 451
Raghu, S., Sriraam, N., Temel, Y., Rao, S. V., & Kubben, P. L. (2020) · Neural Networks · doi:10.1016/j.neunet.2020.01.017 · Cited by 382
Guo, L., Rivero, D., Dorado, J., Munteanu, C. R., & Pazos, A. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.02.118 · Cited by 271
Epilepsy Classification for Mining Deeper Relationships between EEG Channels based on GCN
Chen, X., Zheng, Y., Niu, Y., & Li, C. (2020) · 2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL) · doi:10.1109/cvidl51233.2020.00050 · Cited by 34
Metadata
- Authors
- Übeyli, E. D.
- Venue
- Digital Signal Processing
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 19
- Issue
- 2
- Pages
- 297-308
- ISSN
- 1051-2004 (ISSN-L)
- OpenAlex
- W1995165836
- Cited by
- 271
- References
- 29
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- closed
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- Übeyli, E. D. (2009). Combined neural network model employing wavelet coefficients for EEG signals classification. Digital Signal Processing. https://doi.org/10.1016/j.dsp.2008.07.004
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.