The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
1D-local binary pattern based feature extraction for classification of epileptic EEG signals
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Cites
Data Mining: Practical Machine Learning Tools and Techniques
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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398
Witten, I. H. (2008) · Cited by 9,143
A comparative study of texture measures with classification based on featured distributions
Ojala, T., Pietikäinen, M., & Harwood, D. (1996) · Pattern Recognition · doi:10.1016/0031-3203(95)00067-4 · Cited by 6,882
Fisher, R. S., Boas, W. V. E., Blume, W., Elger, C., Genton, P., Lee, P., & Engel, J. (2005) · Epilepsia · doi:10.1111/j.0013-9580.2005.66104.x · Cited by 3,671
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
Beghi, E., Berg, A., Carpio, A., Forsgren, L., Hesdorffer, D. C., Hauser, W. A., Malmgren, K., Shinnar, S., Temkin, N., Thurman, D., et al. (2005) · Epilepsia · doi:10.1111/j.1528-1167.2005.00273_1.x · Cited by 2,296
Adams, R. D., & Victor, M. (1977) · Medical Entomology and Zoology · Cited by 1,718
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
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
Cited by
Samiee, K., Kovacs, P., & Gabbouj, M. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2360101 · Cited by 411
Bhattacharyya, A., Pachori, R., Upadhyay, A., & Acharya, U. (2017) · Applied Sciences · doi:10.3390/app7040385 · Cited by 284
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
Raghavendra, U., Acharya, U. R., & Adeli, H. (2019) · European Neurology · doi:10.1159/000504292 · Cited by 174
Metadata
- Authors
- Kaya, Y., Uyar, M., Tekin, R., & Yıldırım, S.
- Venue
- Applied Mathematics and Computation
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 243
- Pages
- 209-219
- ISSN
- 0096-3003 (ISSN-L)
- OpenAlex
- W1970917709
- Cited by
- 279
- References
- 40
- FWCI
- 8.00
- 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: 1D-local binary pattern based feature extraction for classification of epileptic EEG signals. https://app.cochat.ai/papers/10.1016/j.amc.2014.05.128
- The paper
- Kaya, Y., Uyar, M., Tekin, R., & Yıldırım, S. (2014). 1D-local binary pattern based feature extraction for classification of epileptic EEG signals. Applied Mathematics and Computation. https://doi.org/10.1016/j.amc.2014.05.128
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.