| 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 | 102 | 2022 |
| 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 | 97 | 2015 |
| COVID-19 sounds: a large-scale audio dataset for digital respiratory screening T Xia, D Spathis, J Ch, A Grammenos, J Han, A Hasthanasombat, ... NeurIPS 2021 datasets and benchmarks track (round 2), 2021 | 93* | 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 …, 2017 | 61 | 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 | 39 | 2016 |
| 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 | 33 | 2022 |
| An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression. T Dang, V Sethu, J Epps, E Ambikairajah INTERSPEECH, 1248-1252, 2017 | 33 | 2017 |
| Uncertainty-aware COVID-19 detection from imbalanced sound data T Xia, J Han, L Qendro, T Dang, C Mascolo INTERSPEECH 2021, 2021 | 32 | 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 | 28 | 2023 |
| Dynamic multi-rater Gaussian Mixture Regression incorporating temporal dependencies of emotion uncertainty using kalman filters T Dang, V Sethu, E Ambikairajah ICASSP 2018, 2018 | 21 | 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, ACM …, 2018 | 16 | 2018 |
| 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 | 15 | 2023 |
| Motion-resilient heart rate monitoring with in-ear microphones KJ Butkow, T Dang, A Ferlini, D Ma, C Mascolo CoRR, 2021 | 12 | 2021 |
| Factor Analysis Based Speaker Normalisation for Continuous Emotion Prediction. T Dang, V Sethu, E Ambikairajah INTERSPEECH, 913-917, 2016 | 11 | 2016 |
| An evaluation of heart rate monitoring with in-ear microphones under motion KJ Butkow, T Dang, A Ferlini, D Ma, Y Liu, C Mascolo Pervasive and Mobile Computing 100, 101913, 2024 | 10 | 2024 |
| Speech Based Emotion Prediction: Can a Linear Model Work? A Ouyang, T Dang, V Sethu, E Ambikairajah Interspeech 2019, 2019 | 10 | 2019 |
| Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health Y Hu, S Zhang, T Dang, H Jia, FD Salim, W Hu, AJ Quigley Companion of the 2024 on ACM International Joint Conference on Pervasive and …, 2024 | 9 | 2024 |
| 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 | 8 | 2022 |
| OptiBreathe: An earable-based PPG system for continuous respiration rate, breathing phase, and tidal volume monitoring J Romero, A Ferlini, D Spathis, T Dang, K Farrahi, F Kawsar, A Montanari Proceedings of the 25th International Workshop on Mobile Computing Systems …, 2024 | 7 | 2024 |
| Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19 T Dang, J Han, T Xia, E Bondareva, C Siegele-Brown, J Chauhan, ... ACM Conference on Knowledge Discovery & Data Mining (KDD 2023), 2023 | 7 | 2023 |
Vidhyasaharan SethuAssociate Professor, The University of New South WalesZweryfikowany adres z unsw.edu.au