Jason Teo

Cognitive Neuroscience · with Mountstephens · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jason Teo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Margaret M. Bradley
  2. Jonghwa Kim
  3. Soraia M. Alarcão
  4. C. Izard

Papers from Jason Teo's perspective

Ordered by how strongly the researchers Jason Teo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. EEG-Based Emotion Recognition in Music Listening (IEEE Transactions on Biomedical Engineering)
  2. DEAP: A Database for Emotion Analysis ;Using Physiological Signals (IEEE Transactions on Affective Computing)
  3. Measuring emotion: the Self-Assessment Manikin and the Semantic Differential.
  4. Measures of emotion: A review (Cognition & Emotion)
  5. EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (IEEE Transactions on Affective Computing)
  6. Emotions Recognition Using EEG Signals: A Survey (IEEE Transactions on Affective Computing)
  7. Emotion recognition based on physiological changes in music listening (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  8. Feature Extraction and Selection for Emotion Recognition from EEG (IEEE Transactions on Affective Computing)
  9. DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (IEEE journal of biomedical and health informatics)
  10. A Multimodal Database for Affect Recognition and Implicit Tagging (IEEE Transactions on Affective Computing)

Their papers