Developing a deep canonical correlation-based technique for seizure prediction
S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, T. Loddenkemper, Expert Systems with Applications 234 (2023).
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Journal Article
| Published
| English
Author
Vieluf, Solveig;
Hasija, TanujLibreCat;
Kuschel, MauriceLibreCat;
Reinsberger, ClausLibreCat;
Loddenkemper, Tobias
Department
Publishing Year
Journal Title
Expert Systems with Applications
Volume
234
Article Number
120986
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Cite this
Vieluf S, Hasija T, Kuschel M, Reinsberger C, Loddenkemper T. Developing a deep canonical correlation-based technique for seizure prediction. Expert Systems with Applications. 2023;234. doi:10.1016/j.eswa.2023.120986
Vieluf, S., Hasija, T., Kuschel, M., Reinsberger, C., & Loddenkemper, T. (2023). Developing a deep canonical correlation-based technique for seizure prediction. Expert Systems with Applications, 234, Article 120986. https://doi.org/10.1016/j.eswa.2023.120986
@article{Vieluf_Hasija_Kuschel_Reinsberger_Loddenkemper_2023, title={Developing a deep canonical correlation-based technique for seizure prediction}, volume={234}, DOI={10.1016/j.eswa.2023.120986}, number={120986}, journal={Expert Systems with Applications}, publisher={Elsevier BV}, author={Vieluf, Solveig and Hasija, Tanuj and Kuschel, Maurice and Reinsberger, Claus and Loddenkemper, Tobias}, year={2023} }
Vieluf, Solveig, Tanuj Hasija, Maurice Kuschel, Claus Reinsberger, and Tobias Loddenkemper. “Developing a Deep Canonical Correlation-Based Technique for Seizure Prediction.” Expert Systems with Applications 234 (2023). https://doi.org/10.1016/j.eswa.2023.120986.
S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, and T. Loddenkemper, “Developing a deep canonical correlation-based technique for seizure prediction,” Expert Systems with Applications, vol. 234, Art. no. 120986, 2023, doi: 10.1016/j.eswa.2023.120986.
Vieluf, Solveig, et al. “Developing a Deep Canonical Correlation-Based Technique for Seizure Prediction.” Expert Systems with Applications, vol. 234, 120986, Elsevier BV, 2023, doi:10.1016/j.eswa.2023.120986.
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