EDT: An EEG-based attention model for feature learning and depression recognition

Research article (Biomedical Signal Processing and Control, 2024) · cited 29× · AI/ML
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EDT: An EEG-based attention model for feature learning and depression recognition

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EDT: An EEG-based attention model for feature learning and depression recognition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). EDT: An EEG-based attention model for feature learning and depression recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/edt-an-eeg-based-attention-model-for-feature-learning-and-depression-recognition
MLA “EDT: An EEG-based attention model for feature learning and depression recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/edt-an-eeg-based-attention-model-for-feature-learning-and-depression-recognition.
BibTeX @misc{4ortxyz_edt-an-eeg-based-attention-model-for-feature-learning-and-depression-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EDT: An EEG-based attention model for feature learning and depression recognition}}, year = {2026}, url = {https://4ort.xyz/entity/edt-an-eeg-based-attention-model-for-feature-learning-and-depression-recognition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EDT: An EEG-based attention model for feature learning and depression recognition — https://4ort.xyz/entity/edt-an-eeg-based-attention-model-for-feature-learning-and-depression-recognition (retrieved 2026-05-24)

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