The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Classification of EEG signals using neural network and logistic regression
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Cites
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
Neural Networks: A Comprehensive Foundation
Haykin, S. (1998) · Cited by 30,070
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
Kupper, L. L., Hosmer, D. W., & Lemeshow, S. (1990) · Journal of the American Statistical Association · doi:10.2307/2290035 · Cited by 7,599
Neural networks: A comprehensive foundation
Tadeusiewicz, R. (1995) · Control Engineering Practice · doi:10.1016/0967-0661(95)90080-2 · Cited by 7,218
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
Fundamentals of neural networks: architectures, algorithms, and applications
Fausett, L. V. (1994) · CERN Document Server (European Organization for Nuclear Research) · Cited by 3,025
The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets
Sweldens, W. (1996) · Applied and Computational Harmonic Analysis · doi:10.1006/acha.1996.0015 · Cited by 2,213
The Lifting Scheme: A Construction of Second Generation Wavelets
Sweldens, W. (1998) · SIAM Journal on Mathematical Analysis · doi:10.1137/s0036141095289051 · Cited by 2,207
Logistic regression and Artificial Neural Network Classification models: A methodology review
Dreiseitl, S., & Ohno-Machado, L. (2002) · Journal of Biomedical Informatics · doi:10.1016/s1532-0464(03)00034-0 · Cited by 2,177
Cited by
EEG signal classification using wavelet feature extraction and a mixture of expert model.
SUBASI, A. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.02.005 · Cited by 1,182
Self-citationNeural networks and statistical techniques: A review of applications
Paliwal, M., & Kumar, U. A. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.10.005 · Cited by 792
Al-Fahoum, A. S., & Al-Fraihat, A. A. (2014) · ISRN Neuroscience · doi:10.1155/2014/730218 · Cited by 543
Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction
Göçken, M., Özçalıcı, M., Boru, A., & Dosdoğru, A. T. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.09.029 · Cited by 324
1D-local binary pattern based feature extraction for classification of epileptic EEG signals
Kaya, Y., Uyar, M., Tekin, R., & Yıldırım, S. (2014) · Applied Mathematics and Computation · doi:10.1016/j.amc.2014.05.128 · Cited by 279
Metadata
- Authors
- Subasi, A., & Erçelebi, E.
- Venue
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Published
- 2005-05
- Volume
- 78
- Issue
- 2
- Pages
- 87-99
- ISSN
- 0169-2607 (ISSN-L)
- OpenAlex
- W2081700482
- Cited by
- 573
- References
- 37
- FWCI
- 4.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- Subasi, A., & Erçelebi, E. (2005). Classification of EEG signals using neural network and logistic regression. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2004.10.009
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.