Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

Research article (Biomedical Signal Processing and Control, 2021) · cited 92× · AI/ML
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Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

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Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-detection-of-abnormal-eeg-signals-using-wavelet-feature-extraction-and-gradient-boosting-decision-tree
MLA “Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-detection-of-abnormal-eeg-signals-using-wavelet-feature-extraction-and-gradient-boosting-decision-tree.
BibTeX @misc{4ortxyz_automatic-detection-of-abnormal-eeg-signals-using-wavelet-feature-extraction-and-gradient-boosting-decision-tree_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-detection-of-abnormal-eeg-signals-using-wavelet-feature-extraction-and-gradient-boosting-decision-tree}, note = {Accessed: 2026-05-24}}
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