An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding

Research article (Scientific Reports, 2020) · cited 86× · AI/ML
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An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding

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An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-comparison-of-neural-networks-and-machine-learning-algorithms-for-eeg-gait-decoding
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BibTeX @misc{4ortxyz_an-empirical-comparison-of-neural-networks-and-machine-learning-algorithms-for-eeg-gait-decoding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-comparison-of-neural-networks-and-machine-learning-algorithms-for-eeg-gait-decoding}, note = {Accessed: 2026-05-24}}
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