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2020 – today
- 2024
[j9]Kayla-Jade Butkow
, Ting Dang, Andrea Ferlini, Dong Ma, Yang Liu, Cecilia Mascolo:
An evaluation of heart rate monitoring with in-ear microphones under motion. Pervasive Mob. Comput. 100: 101913 (2024)- [j8]Tong Xia, Ting Dang, Jing Han, Lorena Qendro, Cecilia Mascolo:
Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning. IEEE J. Biomed. Health Informatics 28(11): 6417-6428 (2024) - [c24]Yu Yvonne Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo:
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. CIKM 2024: 2575-2584 - [c23]Irtaza Shahid, Khaldoon Al-Naimi, Ting Dang, Yang Liu, Fahim Kawsar, Alessandro Montanari:
Towards Enabling DPOAE Estimation on Single-Speaker Earbuds. ICASSP 2024: 246-250 - [c22]Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed:
Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling. ICASSP 2024: 6495-6499 - [c21]Julia Romero, Andrea Ferlini, Dimitris Spathis, Ting Dang, Katayoun Farrahi, Fahim Kawsar, Alessandro Montanari:
OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. HotMobile 2024: 99-106 - [i12]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction. CoRR abs/2407.21344 (2024) - [i11]Yongquan Hu, Shuning Zhang, Ting Dang, Hong Jia, Flora D. Salim, Wen Hu, Aaron J. Quigley:
Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health. CoRR abs/2408.07313 (2024) - [i10]Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed:
A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework. CoRR abs/2409.15357 (2024) - [i9]Xin Hong, Yuan Gong, Vidhyasaharan Sethu, Ting Dang:
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models. CoRR abs/2409.18339 (2024) - [i8]Xin Wang, Ting Dang, Vassilis Kostakos, Hong Jia:
Efficient and Personalized Mobile Health Event Prediction via Small Language Models. CoRR abs/2409.18987 (2024) - [i7]Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia Mascolo:
StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast. CoRR abs/2410.10048 (2024) - 2023
- [j7]Berken Utku Demirel, Ting Dang, Khaldoon Al-Naimi, Fahim Kawsar, Alessandro Montanari:
Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 156:1-156:29 (2023) - [j6]Dong Ma, Ting Dang, Ming Ding, Rajesh Balan:
ClearSpeech: Improving Voice Quality of Earbuds Using Both In-Ear and Out-Ear Microphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 170:1-170:25 (2023) - [j5]Buddhi Wickramasinghe, Eliathamby Ambikairajah, Vidhyasaharan Sethu, Julien Epps, Haizhou Li, Ting Dang:
DNN controlled adaptive front-end for replay attack detection systems. Speech Commun. 154: 102973 (2023) - [j4]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information. IEEE Trans. Affect. Comput. 14(3): 2089-2101 (2023) - [c20]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Belief Mismatch Coefficient (BMC): A Novel Interpretable Measure of Prediction Accuracy for Ambiguous Emotion States. ACII 2023: 1-8 - [c19]Shkurta Gashi, Dimitris Spathis, Ting Dang, Alexander Hoelzemann:
WellComp 2023: Sixth International Workshop on Computing for Well-Being. UbiComp/ISWC Adjunct 2023: 791-794 - [c18]Ting Dang, Antoni Dimitriadis, Jingyao Wu, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Constrained Dynamical Neural ODE for Time Series Modelling: A Case Study on Continuous Emotion Prediction. ICASSP 2023: 1-5 - [c17]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
From Interval to Ordinal: A HMM based Approach for Emotion Label Conversion. INTERSPEECH 2023: 1843-1847 - [c16]Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo:
Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19. KDD 2023: 3914-3925 - [c15]Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo:
hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones. PERCOM 2023: 200-209 - [c14]Changshuo Hu, Xiao Ma, Dong Ma, Ting Dang:
Lightweight and Non-Invasive User Authentication on Earables. HotMobile 2023: 36-41 - [i6]Zheng Nan, Ting Dang, Vidhyasaharan Sethu, Beena Ahmed:
Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling. CoRR abs/2309.11983 (2023) - 2022
- [j3]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. npj Digit. Medicine 5 (2022) - [c13]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
A Novel Sequential Monte Carlo Framework for Predicting Ambiguous Emotion States. ICASSP 2022: 8567-8571 - [c12]Ting Dang, Thomas Quinnell, Cecilia Mascolo:
Exploring Semi-supervised Learning for Audio-based COVID-19 Detection using FixMatch. INTERSPEECH 2022: 2468-2472 - [i5]Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study. CoRR abs/2201.01232 (2022) - 2021
- [j2]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Multimodal Affect Models: An Investigation of Relative Salience of Audio and Visual Cues for Emotion Prediction. Frontiers Comput. Sci. 3: 767767 (2021) - [j1]Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Compensation Techniques for Speaker Variability in Continuous Emotion Prediction. IEEE Trans. Affect. Comput. 12(2): 439-452 (2021) - [c11]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. Interspeech 2021: 2951-2955 - [c10]Tong Xia, Dimitris Spathis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Erika Bondareva, Ting Dang, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening. NeurIPS Datasets and Benchmarks 2021 - [i4]Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo:
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data. CoRR abs/2104.02005 (2021) - [i3]Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo:
Sounds of COVID-19: exploring realistic performance of audio-based digital testing. CoRR abs/2106.15523 (2021) - [i2]Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information. CoRR abs/2108.04605 (2021) - [i1]Kayla-Jade Butkow, Ting Dang, Andrea Ferlini, Dong Ma, Cecilia Mascolo:
Motion-resilient Heart Rate Monitoring with In-ear Microphones. CoRR abs/2108.09393 (2021)
2010 – 2019
- 2019
- [c9]Deboshree Bose, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah, Sarith Fernando:
A Novel Bag-of-Optimised-Clusters Front-End for Speech based Continuous Emotion Prediction. ACII 2019: 738-744 - [c8]Anda Ouyang, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Speech Based Emotion Prediction: Can a Linear Model Work? INTERSPEECH 2019: 2813-2817 - 2018
- [b1]Ting Dang:
Speech based Continuous Emotion Prediction: An investigation of Speaker Variability and Emotion Uncertainty. University of New South Wales, Sydney, Australia, 2018 - [c7]Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Dynamic Multi-Rater Gaussian Mixture Regression Incorporating Temporal Dependencies of Emotion Uncertainty Using Kalman Filters. ICASSP 2018: 4929-4933 - [c6]Kalani Wataraka Gamage, Ting Dang, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah:
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. AVEC@MM 2018: 47-55 - 2017
- [c5]Ting Dang, Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah:
An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression. INTERSPEECH 2017: 1248-1252 - [c4]Ting Dang, Brian Stasak, Zhaocheng Huang, Sadari Jayawardena, Mia Atcheson, Munawar Hayat, Phu Ngoc Le, Vidhyasaharan Sethu, Roland Goecke, Julien Epps:
Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017. AVEC@ACM Multimedia 2017: 27-35 - 2016
- [c3]Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Factor Analysis Based Speaker Normalisation for Continuous Emotion Prediction. INTERSPEECH 2016: 913-917 - [c2]Zhaocheng Huang, Brian Stasak, Ting Dang, Kalani Wataraka Gamage, Phu Ngoc Le, Vidhyasaharan Sethu, Julien Epps:
Staircase Regression in OA RVM, Data Selection and Gender Dependency in AVEC 2016. AVEC@ACM Multimedia 2016: 19-26 - 2015
- [c1]Zhaocheng Huang, Ting Dang, Nicholas Cummins, Brian Stasak, Phu Ngoc Le, Vidhyasaharan Sethu, Julien Epps:
An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction. AVEC@ACM Multimedia 2015: 41-48
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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