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07/31/2023
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction
Deep learning models have shown great promise in various healthcare moni...
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07/19/2023
TinyTrain: Deep Neural Network Training at the Extreme Edge
On-device training is essential for user personalisation and privacy. Wi...
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04/21/2023
Heart Rate Extraction from Abdominal Audio Signals
Abdominal sounds (ABS) have been traditionally used for assessing gastro...
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03/30/2023
Practical self-supervised continual learning with continual fine-tuning
Self-supervised learning (SSL) has shown remarkable performance in compu...
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03/13/2023
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection
Federated learning (FL) aided health diagnostic models can incorporate d...
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11/20/2022
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction
Deep learning models have shown great promise in various healthcare appl...
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05/06/2022
Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors
Cardiorespiratory fitness is an established predictor of metabolic disea...
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04/26/2022
Improving Feature Generalizability with Multitask Learning in Class Incremental Learning
Many deep learning applications, like keyword spotting, require the inco...
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03/08/2022
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
With the advancement of Deep Neural Networks (DNN) and large amounts of ...
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02/21/2022
Enabling On-Device Smartphone GPU based Training: Lessons Learned
Deep Learning (DL) has shown impressive performance in many mobile appli...
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02/17/2022
A Summary of the ComParE COVID-19 Challenges
The COVID-19 pandemic has caused massive humanitarian and economic damag...
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01/19/2022
Enhancing the Security Privacy of Wearable Brain-Computer Interfaces
Brain computing interfaces (BCI) are used in a plethora of safety/privac...
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01/04/2022
COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study
Recent work has shown the potential of the use of audio data in screenin...
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12/16/2021
Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift
A biosignal is a signal that can be continuously measured from human bod...
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11/13/2021
Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes
Vast quantities of person-generated health data (wearables) are collecte...
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09/29/2021
PilotEar: Enabling In-ear Inertial Navigation
Navigation systems are used daily. While different types of navigation s...
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08/27/2021
EarGate: Gait-based User Identification with In-ear Microphones
Human gait is a widely used biometric trait for user identification and ...
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08/20/2021
Motion-resilient Heart Rate Monitoring with In-ear Microphones
With the soaring adoption of in-ear wearables, the research community ha...
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08/09/2021
Earables for Detection of Bruxism: a Feasibility Study
Bruxism is a disorder characterised by teeth grinding and clenching, and...
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08/09/2021
Segmentation-free Heart Pathology Detection Using Deep Learning
Cardiovascular (CV) diseases are the leading cause of death in the world...
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07/21/2021
High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm
Electroencephalography (EEG) is crucial for the monitoring and diagnosis...
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06/29/2021
Sounds of COVID-19: exploring realistic performance of audio-based digital testing
Researchers have been battling with the question of how we can identify ...
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06/21/2021
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables
Body-focused repetitive behaviors (BFRBs), like face-touching or skin-pi...
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06/16/2021
OESense: Employing Occlusion Effect for In-ear Human Sensing
Smart earbuds are recognized as a new wearable platform for personal-sca...
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06/14/2021
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
Various incremental learning (IL) approaches have been proposed to help ...
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04/29/2021
Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
Modelling the dynamics of urban venues is a challenging task as it is mu...
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04/28/2021
Modelling Cooperation and Competition in Urban Retail Ecosystems with Complex Network Metrics
Understanding the impact that a new business has on the local market eco...
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04/05/2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data
Recently, sound-based COVID-19 detection studies have shown great promis...
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02/24/2021
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation Primates
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses f...
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02/11/2021
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data
Machine learning and deep learning have shown great promise in mobile se...
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02/11/2021
The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms
Neural networks (NNs) lack measures of "reliability" estimation that wou...
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02/10/2021
Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data
The development of fast and accurate screening tools, which could facili...
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11/23/2020
Exploring Contrastive Learning in Human Activity Recognition for Healthcare
Human Activity Recognition (HAR) constitutes one of the most important t...
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11/18/2020
Self-supervised transfer learning of physiological representations from free-living wearable data
Wearable devices such as smartwatches are becoming increasingly popular ...
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11/09/2020
Learning Generalizable Physiological Representations from Large-scale Wearable Data
To date, research on sensor-equipped mobile devices has primarily focuse...
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08/31/2020
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
Modern machine learning applications should be able to address the intri...
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08/12/2020
A First Step Towards On-Device Monitoring of Body Sounds in the Wild
Body sounds provide rich information about the state of the human body a...
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06/10/2020
Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
Audio signals generated by the human body (e.g., sighs, breathing, heart...
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04/17/2020
Leveraging Mobility Flows from Location Technology Platforms to Test Crime Pattern Theory in Large Cities
Crime has been previously explained by social characteristics of the res...
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07/18/2019
Federated PCA with Adaptive Rank Estimation
In many online machine learning and data science tasks such as data summ...
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05/19/2019
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation
Point-of-Interest (POI) recommender systems play a vital role in people'...
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07/05/2018