Improving Error Related Potential Classification by using Generative Adversarial Networks and Deep Convolutional Neural Networks

Research article (2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020) · cited 12× · AI/ML
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Improving Error Related Potential Classification by using Generative Adversarial Networks and Deep Convolutional Neural Networks

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Improving Error Related Potential Classification by using Generative Adversarial Networks and Deep Convolutional Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving Error Related Potential Classification by using Generative Adversarial Networks and Deep Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-error-related-potential-classification-by-using-generative-adversarial-networks-and-deep-convolutional-neural-
MLA “Improving Error Related Potential Classification by using Generative Adversarial Networks and Deep Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-error-related-potential-classification-by-using-generative-adversarial-networks-and-deep-convolutional-neural-.
BibTeX @misc{4ortxyz_improving-error-related-potential-classification-by-using-generative-adversarial-networks-and-deep-convolutional-neural-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Error Related Potential Classification by using Generative Adversarial Networks and Deep Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/improving-error-related-potential-classification-by-using-generative-adversarial-networks-and-deep-convolutional-neural-}, note = {Accessed: 2026-05-24}}
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