The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A deep convolutional neural network model for automated identification of abnormal EEG signals
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ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Backpropagation Applied to Handwritten Zip Code Recognition
LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., & Jackel, L. D. (1989) · Neural Computation · doi:10.1162/neco.1989.1.4.541 · Cited by 11,891
The temple university hospital EEG data corpus
Obeid, I., & Picone, J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00196 · Cited by 528
Cited by
Application of deep transfer learning for automated brain abnormality classification using MR images
Talo, M., Baloglu, U. B., Yıldırım, Ö., & Rajendra Acharya, U. (2019) · Cognitive Systems Research · doi:10.1016/j.cogsys.2018.12.007 · Cited by 507
Self-citationClassification of myocardial infarction with multi-lead ECG signals and deep CNN
Baloglu, U. B., Talo, M., Yildirim, O., Tan, R. S., & Acharya, U. R. (2019) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.02.016 · Cited by 473
Self-citationEpileptic Seizures Detection Using Deep Learning Techniques: A Review
Shoeibi, A., Khodatars, M., Ghassemi, N., Jafari, M., Moridian, P., Alizadehsani, R., Panahiazar, M., Khozeimeh, F., Zare, A., Hosseini-Nejad, H., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18115780 · Cited by 459
Self-citationDeep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals
Oh, S. L., Vicnesh, J., Ciaccio, E. J., Yuvaraj, R., & Acharya, U. R. (2019) · Applied Sciences · doi:10.3390/app9142870 · Cited by 304
Self-citationArtificial 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
Self-citation
Metadata
- Authors
- Yıldırım, Ö., Baloglu, U. B., & Acharya, U. R.
- Venue
- Neural Computing and Applications
- Published
- 2018-11-23
- Volume
- 32
- Issue
- 20
- Pages
- 15857-15868
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2900992113
- Cited by
- 211
- References
- 4
- FWCI
- 10.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A deep convolutional neural network model for automated identification of abnormal EEG signals. https://app.cochat.ai/papers/10.1007/s00521-018-3889-z
- The paper
- Yıldırım, Ö., Baloglu, U. B., & Acharya, U. R. (2020). A deep convolutional neural network model for automated identification of abnormal EEG signals. Neural Computing and Applications. https://doi.org/10.1007/s00521-018-3889-z
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.
