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Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment
Research article (Neuroscience, 2021) · cited 24× · AI/ML
Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment
Summary
Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment is a scholarly article[1].
Key Facts
Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-spatial-spectral-temporal-eeg-representations-with-deep-attentive-recurrent-convolutional-neural-networks-for-p
MLA“Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-spatial-spectral-temporal-eeg-representations-with-deep-attentive-recurrent-convolutional-neural-networks-for-p.
BibTeX@misc{4ortxyz_learning-spatial-spectral-temporal-eeg-representations-with-deep-attentive-recurrent-convolutional-neural-networks-for-p_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment}}, year = {2026}, url = {https://4ort.xyz/entity/learning-spatial-spectral-temporal-eeg-representations-with-deep-attentive-recurrent-convolutional-neural-networks-for-p}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning Spatial-Spectral-Temporal EEG Representations with Deep Attentive-Recurrent-Convolutional Neural Networks for Pain Intensity Assessment — https://4ort.xyz/entity/learning-spatial-spectral-temporal-eeg-representations-with-deep-attentive-recurrent-convolutional-neural-networks-for-p (retrieved 2026-05-24)
