The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
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Cites
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
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
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
Analysis of EEG records in an epileptic patient using wavelet transform
Adeli, H., Zhou, Z., & Dadmehr, N. (2003) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00340-0 · Cited by 1,154
The control of chaos: theory and applications
Boccaletti, S. (2000) · Physics Reports · doi:10.1016/s0370-1573(99)00096-4 · Cited by 946
Entropies for detection of epilepsy in EEG
Kannathal, N., Choo, M. L., Acharya, U. R., & Sadasivan, P. K. (2005) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2005.06.012 · Cited by 753
Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
Güler, İ., & Übeyli, E. D. (2005) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2005.04.013 · Cited by 548
Recurrent neural networks employing Lyapunov exponents for EEG signals classification
GULER, N., UBEYLI, E., & GULER, I. (2005) · Expert Systems with Applications · doi:10.1016/j.eswa.2005.04.011 · Cited by 503
Guest Editors' Introduction: On Applied Research in Machine Learning
Provost, F., & Kohavi, R. (1998) · Machine Learning · doi:10.1023/a:1007442505281 · Cited by 378
A neural-network-based detection of epilepsy
Nigam, V. P., & Graupe, D. (2004) · Neurological Research · doi:10.1179/016164104773026534 · Cited by 350
Cited by
Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks
Tzallas, A. T., Tsipouras, M. G., & Fotiadis, D. I. (2007) · Computational Intelligence and Neuroscience · doi:10.1155/2007/80510 · Cited by 473
A review of epileptic seizure detection using machine learning classifiers
Siddiqui, M. K., Morales-Menendez, R., Huang, X., & Hussain, N. (2020) · Brain Informatics · doi:10.1186/s40708-020-00105-1 · Cited by 432
AI in Health: State of the Art, Challenges, and Future Directions
Wang, F., & Preininger, A. (2019) · Yearbook of Medical Informatics · doi:10.1055/s-0039-1677908 · Cited by 398
Samiee, K., Kovacs, P., & Gabbouj, M. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2360101 · Cited by 411
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Rasheed, K., Qayyum, A., Qadir, J., Sivathamboo, S., Kwan, P., Kuhlmann, L., O'Brien, T., & Razi, A. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.3008792 · Cited by 409
Metadata
- Authors
- Polat, K., & Güneş, S.
- Venue
- Applied Mathematics and Computation
- Publisher
- Elsevier BV
- Published
- 2007-04
- Volume
- 187
- Issue
- 2
- Pages
- 1017-1026
- ISSN
- 0096-3003 (ISSN-L)
- OpenAlex
- W2021970732
- Cited by
- 666
- References
- 19
- FWCI
- 1.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform. https://app.cochat.ai/papers/10.1016/j.amc.2006.09.022
- The paper
- Polat, K., & Güneş, S. (2007). Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform. Applied Mathematics and Computation. https://doi.org/10.1016/j.amc.2006.09.022
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.
