Nazmi Sofian Suhaimi
Cognitive Neuroscience · 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
- Cognitive Neuroscience — 22 citations into it
- Experimental and Cognitive Psychology — 19 citations into it
- Social Psychology — 9 citations into it
Whom Nazmi Sofian Suhaimi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Margaret M. Bradley
- Jonghwa Kim
- Soraia M. Alarcão
- C. Izard
- Changchun Liu
- Andreas Haag
- Fatma Nasoz
- Tengfei Song
- Peter J. Lang
- Elisabeth André
Who trusts Nazmi Sofian Suhaimi overall
Papers from Nazmi Sofian Suhaimi's perspective
Ordered by how strongly the researchers Nazmi Sofian Suhaimi trusts endorse each paper. Same corpus, a different order for every researcher.
- EEG-Based Emotion Recognition in Music Listening (IEEE Transactions on Biomedical Engineering)
- DEAP: A Database for Emotion Analysis ;Using Physiological Signals (IEEE Transactions on Affective Computing)
- Measuring emotion: the Self-Assessment Manikin and the Semantic Differential.
- Emotion recognition based on physiological changes in music listening (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Measures of emotion: A review (Cognition & Emotion)
- EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (IEEE Transactions on Affective Computing)
- Emotions Recognition Using EEG Signals: A Survey (IEEE Transactions on Affective Computing)
- Feature Extraction and Selection for Emotion Recognition from EEG (IEEE Transactions on Affective Computing)
- 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)
- A Multimodal Database for Affect Recognition and Implicit Tagging (IEEE Transactions on Affective Computing)
Their papers
- EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities (2020) — 321 citations