Talks and presentations

Sounds of COVID-19: Exploring Realistic Performance of Audio-based Digital Testing [Slides]

AI in Medicine Seminar| School of Clinical Medicine, University of Cambrdige

March, 2023


Evidential Deep Learning for Uncertainty-Aware Mobile Health [Slides]

MobiUK 2022 | UCL, London, UK

July, 2022


COVID-19 Sounds: A Large-Scale Audio Dataset for Digital Respiratory Screening [Slides]

Annual Oxbridge Women in Computer Science Conference | Oxford, UK

May, 2022


Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift [Slides]

W3PHIAI-22 workshop, in conjunction with AAAI 2022 | Online

Feb., 2022


Mobility-based Individual POI Recommendation to Control the COVID-19 Spread [Slides]

IEEE Big Data - BDA COVID-2021 Virtual Workshop | Online

Dec., 2021


Uncertainty-aware Machine Learning for Biosignal-based Healthcare Applications [Slides]

Women@CL Talks | University of Cambridge, UK

Nov., 2021


Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data [Slides]

INTERSPPECH | Online

Sep., 2021


Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data [Slides]

Cambridge University Students' Clinical Research Society - Research During COVID | Online

Dec., 2021