| An investigation of annotation delay compensation and output-associative fusion for multimodal continuous emotion prediction Z Huang, T Dang, N Cummins, B Stasak, P Le, V Sethu, J Epps Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015 | 91 | 2015 |
| Sounds of COVID-19: exploring realistic performance of audio-based digital testing J Han, T Xia, D Spathis, E Bondareva, C Brown, J Chauhan, T Dang, ... NPJ digital medicine 5 (1), 16, 2022 | 78 | 2022 |
| COVID-19 sounds: a large-scale audio dataset for digital respiratory screening T Xia, D Spathis, J Ch, A Grammenos, J Han, A Hasthanasombat, ... Thirty-fifth conference on neural information processing systems datasets …, 2021 | 75* | 2021 |
| 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 | 56 | 2017 |
| Staircase regression in OA RVM, data selection and gender dependency in AVEC 2016 Z Huang, B Stasak, T Dang, K Wataraka Gamage, P Le, V Sethu, J Epps Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016 | 38 | 2016 |
| An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression. T Dang, V Sethu, J Epps, E Ambikairajah INTERSPEECH, 1248-1252, 2017 | 31 | 2017 |
| Uncertainty-aware COVID-19 detection from imbalanced sound data T Xia, J Han, L Qendro, T Dang, C Mascolo INTERSPEECH 2021, 2021 | 30 | 2021 |
| heart: Motion-resilient heart rate monitoring with in-ear microphones KJ Butkow, T Dang, A Ferlini, D Ma, C Mascolo 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | 25 | 2023 |
| Exploring longitudinal cough, breath, and voice data for COVID-19 progression prediction via sequential deep learning: model development and validation T Dang, J Han, T Xia, D Spathis, E Bondareva, C Siegele-Brown, ... Journal of medical Internet research 24 (6), e37004, 2022 | 25 | 2022 |
| Dynamic multi-rater Gaussian Mixture Regression incorporating temporal dependencies of emotion uncertainty using kalman filters T Dang, V Sethu, E Ambikairajah ICASSP 2018, 2018 | 17 | 2018 |
| Speech-based continuous emotion prediction by learning perception responses related to salient events: A study based on vocal affect bursts and cross-cultural affect in AVEC 2018 K Wataraka Gamage, T Dang, V Sethu, J Epps, E Ambikairajah Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 47-55, 2018 | 16 | 2018 |
| Factor Analysis Based Speaker Normalisation for Continuous Emotion Prediction. T Dang, V Sethu, E Ambikairajah INTERSPEECH, 913-917, 2016 | 11 | 2016 |
| Speech Based Emotion Prediction: Can a Linear Model Work? A Ouyang, T Dang, V Sethu, E Ambikairajah Interspeech 2019, 2019 | 10 | 2019 |
| A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information J Wu, T Dang, V Sethu, E Ambikairajah IEEE Transactions on Affective Computing, 2022 | 6 | 2022 |
| Human-centred artificial intelligence for mobile health sensing: challenges and opportunities T Dang, D Spathis, A Ghosh, C Mascolo Royal Society Open Science 10 (11), 230806, 2023 | 5 | 2023 |
| Lightweight and non-invasive user authentication on earables C Hu, X Ma, D Ma, T Dang Proceedings of the 24th International Workshop on Mobile Computing Systems …, 2023 | 5 | 2023 |
| Evaluating listening performance for COVID-19 detection by clinicians and machine learning: comparative study J Han, M Montagna, A Grammenos, T Xia, E Bondareva, C Siegele-Brown, ... Journal of Medical Internet Research 25, e44804, 2023 | 4 | 2023 |
| Hybrid-edl: Improving evidential deep learning for uncertainty quantification on imbalanced data T Xia, J Han, L Qendro, T Dang, C Mascolo Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022 | 4 | 2022 |
| Multimodal affect models: An investigation of relative salience of audio and visual cues for emotion prediction J Wu, T Dang, V Sethu, E Ambikairajah Frontiers in Computer Science 3, 767767, 2021 | 4 | 2021 |
| Compensation Techniques for Speaker Variability in Continuous Emotion Prediction T Dang, V Sethu, E Ambikairajah IEEE Transactions on Affective Computing 12 (2), 439-452, 2018 | 4 | 2018 |
Vidhyasaharan SethuAssociate Professor, The University of New South Wales在 unsw.edu.au 的电子邮件经过验证
