| Investigating word affect features and fusion of probabilistic predictions incorporating uncertainty in AVEC 2017 T Dang, B Stasak, Z Huang, S Jayawardena, M Atcheson, M Hayat, P Le, ... Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, 27-35, 2017 | 54 | 2017 |
| Efficient PERCLOS and gaze measurement methodologies to estimate driver attention in real time S Darshana, D Fernando, S Jayawardena, S Wickramanayake, C DeSilva 2014 5th International Conference on Intelligent Systems, Modelling and …, 2014 | 39 | 2014 |
| Ordinal logistic regression with partial proportional odds for depression prediction S Jayawardena, J Epps, E Ambikairajah IEEE Transactions on Affective Computing 14 (1), 563-577, 2020 | 13 | 2020 |
| Evaluation measures for depression prediction and affective computing S Jayawardena, J Epps, E Ambikairajah ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4 | 2019 |
| Support vector ordinal regression for depression severity prediction S Jayawardena, J Epps, E Ambikairajah 2018 IEEE International Conference on Information and Automation for …, 2018 | 3 | 2018 |
| Riyadisi — Intelligent driver monitoring system S Darshana, D Fernando, S Jayawadena, S Wickramanayake 2013 International Conference on Advances in ICT for Emerging Regions (ICTer …, 2013 | 3 | 2013 |
| How Ordinal Are Your Data? S Jayawardena, J Epps, Z Huang INTERSPEECH, 1853-1857, 2020 | 1 | 2020 |
| An Ordinal Approach to Affective Computing S Jayawardena UNSW Sydney, 2021 | | 2021 |
| Riyadisi–Automated Driver Attention Assistance System K Darshana, MDY Fernando, SS Jayawardena, SKK Wickramanayake, ... | | |
