ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability

Research article (Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017) · cited 32× · AI/ML
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ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability

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ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability. Retrieved May 24, 2026, from https://4ort.xyz/entity/ecg-based-biometrics-using-a-deep-autoencoder-for-feature-learning-an-empirical-study-on-transferability
MLA “ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ecg-based-biometrics-using-a-deep-autoencoder-for-feature-learning-an-empirical-study-on-transferability.
BibTeX @misc{4ortxyz_ecg-based-biometrics-using-a-deep-autoencoder-for-feature-learning-an-empirical-study-on-transferability_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ECG-based Biometrics using a Deep Autoencoder for Feature Learning - An Empirical Study on Transferability}}, year = {2026}, url = {https://4ort.xyz/entity/ecg-based-biometrics-using-a-deep-autoencoder-for-feature-learning-an-empirical-study-on-transferability}, note = {Accessed: 2026-05-24}}
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