EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
…Using Support Vector Machines (SVMs) with L1 regularization, we achieved cross-context…
- Participants
- 60
- Channels
- 64
- Size
- 70.4 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
…Using Support Vector Machines (SVMs) with L1 regularization, we achieved cross-context…
…using Riemannian manifold and relevance vector machine approaches for brain-computer interface…
…Data were analyzed using Riemannian manifold methods and relevance vector machines for…
…one event per constant segment of the source stim vector; `trial_type…
…Riemannian manifold methods and relevance vector machines for brain-computer interface applications…
…based feature extraction and relevance vector machine classification, achieving approximately 49% mean…
…Synchronized multi-modal data frames ready for Machine Learning pipelines. ## Publication & Citation…
Nejedly2020 multicenter iEEG graphoelement clips (MAYO) This BIDS dataset is converted from…
Nejedly2020 multicenter iEEG graphoelement clips (FNUSA) This BIDS dataset is converted from…
…The annotations are machine readable and validated with the BIDS and HED…