| Familiarity effects in EEG-based emotion recognition N Thammasan, K Moriyama, K Fukui, M Numao Brain informatics 4, 39-50, 2017 | 119 | 2017 |
| Continuous music-emotion recognition based on electroencephalogram N Thammasan, K Moriyama, K Fukui, M Numao IEICE TRANSACTIONS on Information and Systems 99 (4), 1234-1241, 2016 | 75 | 2016 |
| Application of deep belief networks in eeg-based dynamic music-emotion recognition N Thammasan, K Fukui, M Numao 2016 International Joint Conference on Neural Networks (IJCNN), 881-888, 2016 | 72 | 2016 |
| Physiological synchrony in EEG, electrodermal activity and heart rate reflects shared selective auditory attention IV Stuldreher, N Thammasan, JBF van Erp, AM Brouwer Journal of neural engineering 17 (4), 046028, 2020 | 44 | 2020 |
| A usability study of physiological measurement in school using wearable sensors N Thammasan, IV Stuldreher, E Schreuders, M Giletta, AM Brouwer Sensors 20 (18), 5380, 2020 | 39 | 2020 |
| A comparative study of window size and channel arrangement on EEG-emotion recognition using deep CNN P Keelawat, N Thammasan, M Numao, B Kijsirikul Sensors 21 (5), 1678, 2021 | 34 | 2021 |
| Physiological synchrony in EEG, electrodermal activity and heart rate detects attentionally relevant events in time IV Stuldreher, N Thammasan, JBF Van Erp, AM Brouwer Frontiers in Neuroscience 14, 575521, 2020 | 34 | 2020 |
| Subject-independent emotion recognition during music listening based on EEG using deep convolutional neural networks P Keelawat, N Thammasan, B Kijsirikul, M Numao 2019 IEEE 15th International Colloquium on Signal Processing & Its …, 2019 | 32 | 2019 |
| Multimodal fusion of EEG and musical features in music-emotion recognition N Thammasan, K Fukui, M Numao Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 24 | 2017 |
| Cross-frequency power-power coupling analysis: A useful cross-frequency measure to classify ICA-decomposed EEG N Thammasan, M Miyakoshi Sensors 20 (24), 7040, 2020 | 16 | 2020 |
| Spatiotemporal emotion recognition using deep CNN based on EEG during music listening P Keelawat, N Thammasan, M Numao, B Kijsirikul arXiv preprint arXiv:1910.09719, 2019 | 15 | 2019 |
| An investigation of annotation smoothing for eeg-based continuous music-emotion recognition N Thammasan, K Fukui, M Numao 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 15 | 2016 |
| Exploring the brain activity related to missing penalty kicks: an fNIRS study MWJ Slutter, N Thammasan, M Poel Frontiers in Computer Science 3, 661466, 2021 | 13 | 2021 |
| A comparison between laboratory and wearable sensors in the context of physiological synchrony JJ van Beers, IV Stuldreher, N Thammasan, AM Brouwer Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 12 | 2020 |
| Shared attention reflected in EEG, electrodermal activity and heart rate. AM Brouwer, IV Stuldreher, N Thammasan SAT@ SMC, 27-31, 2019 | 11 | 2019 |
| Validation of wearables for electrodermal activity (EdaMove) and heart rate (Wahoo Tickr) A Borovac, I Stuldreher, N Thammasan, AM Brouwer 12th International Conference on Methods and Techniques in Behavioral …, 2021 | 9 | 2021 |
| EEG-based emotion recognition during music listening N Thammasan 人工知能学会全国大会論文集 第 28 回 (2014), 1F5OS06b1-1F5OS06b1, 2014 | 9 | 2014 |
| Unsupervised clustering of individuals sharing selective attentional focus using physiological synchrony IV Stuldreher, A Merasli, N Thammasan, JBF van Erp, AM Brouwer Frontiers in Neuroergonomics 2, 750248, 2022 | 8 | 2022 |
| Multimodal stability-sensitive emotion recognition based on brainwave and physiological signals N Thammasan, JL Hagad, K Fukui, M Numao 2017 seventh international conference on affective computing and intelligent …, 2017 | 8 | 2017 |
| Investigation on dynamics of group decision making with collaborative web search T Nakamura, T Tominaga, M Watanabe, N Thammasan, K Urai, ... Proceedings of the International Conference on Web Intelligence, 434-441, 2017 | 7 | 2017 |
