Cecilia Mascolo

research

∙ 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...

0 Yu Wu, et al. ∙

research

∙ 07/19/2023

TinyTrain: Deep Neural Network Training at the Extreme Edge

On-device training is essential for user personalisation and privacy. Wi...

0 Young D. Kwon, et al. ∙

research

∙ 04/21/2023

Heart Rate Extraction from Abdominal Audio Signals

Abdominal sounds (ABS) have been traditionally used for assessing gastro...

0 Jake Stuchbury-Wass, et al. ∙

research

∙ 03/30/2023

Practical self-supervised continual learning with continual fine-tuning

Self-supervised learning (SSL) has shown remarkable performance in compu...

0 Chi Ian Tang, et al. ∙

research

∙ 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...

0 Tong Xia, et al. ∙

research

∙ 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...

0 Yu Wu, et al. ∙

research

∙ 05/06/2022

Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors

Cardiorespiratory fitness is an established predictor of metabolic disea...

1 Dimitris Spathis, et al. ∙

research

∙ 04/26/2022

Improving Feature Generalizability with Multitask Learning in Class Incremental Learning

Many deep learning applications, like keyword spotting, require the inco...

0 Dong Ma, et al. ∙

research

∙ 03/08/2022

YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers

With the advancement of Deep Neural Networks (DNN) and large amounts of ...

0 Young D. Kwon, et al. ∙

research

∙ 02/21/2022

Enabling On-Device Smartphone GPU based Training: Lessons Learned

Deep Learning (DL) has shown impressive performance in many mobile appli...

0 Anish Das, et al. ∙

research

∙ 02/17/2022

A Summary of the ComParE COVID-19 Challenges

The COVID-19 pandemic has caused massive humanitarian and economic damag...

13 Harry Coppock, et al. ∙

research

∙ 01/19/2022

Enhancing the Security Privacy of Wearable Brain-Computer Interfaces

Brain computing interfaces (BCI) are used in a plethora of safety/privac...

0 Zahra Tarkhani, et al. ∙

research

∙ 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...

0 Ting Dang, et al. ∙

research

∙ 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...

0 Tong Xia, et al. ∙

research

∙ 11/13/2021

Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes

Vast quantities of person-generated health data (wearables) are collecte...

0 Kevalee Shah, et al. ∙

research

∙ 09/29/2021

PilotEar: Enabling In-ear Inertial Navigation

Navigation systems are used daily. While different types of navigation s...

0 Ashwin Ahuja, et al. ∙

research

∙ 08/27/2021

EarGate: Gait-based User Identification with In-ear Microphones

Human gait is a widely used biometric trait for user identification and ...

0 Andrea Ferlini, et al. ∙

research

∙ 08/20/2021

Motion-resilient Heart Rate Monitoring with In-ear Microphones

With the soaring adoption of in-ear wearables, the research community ha...

0 Kayla-Jade Butkow, et al. ∙

research

∙ 08/09/2021

Earables for Detection of Bruxism: a Feasibility Study

Bruxism is a disorder characterised by teeth grinding and clenching, and...

0 Erika Bondareva, et al. ∙

research

∙ 08/09/2021

Segmentation-free Heart Pathology Detection Using Deep Learning

Cardiovascular (CV) diseases are the leading cause of death in the world...

0 Erika Bondareva, et al. ∙

research

∙ 07/21/2021

High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm

Electroencephalography (EEG) is crucial for the monitoring and diagnosis...

0 Lorena Qendro, et al. ∙

research

∙ 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 ...

0 Jing Han, et al. ∙

research

∙ 06/21/2021

Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables

Body-focused repetitive behaviors (BFRBs), like face-touching or skin-pi...

0 Benjamin Lucas Searle, et al. ∙

research

∙ 06/16/2021

OESense: Employing Occlusion Effect for In-ear Human Sensing

Smart earbuds are recognized as a new wearable platform for personal-sca...

0 Dong Ma, et al. ∙

research

∙ 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 ...

0 Young D. Kwon, et al. ∙

research

∙ 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...

0 Krittika D'Silva, et al. ∙

research

∙ 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...

0 Jordan Cambe, et al. ∙

research

∙ 04/05/2021

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data

Recently, sound-based COVID-19 detection studies have shown great promis...

0 Tong Xia, et al. ∙

research

∙ 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...

1 Björn W. Schuller, et al. ∙

research

∙ 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...

0 Chi Ian Tang, et al. ∙

research

∙ 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...

0 Lorena Qendro, et al. ∙

research

∙ 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...

0 Jing Han, et al. ∙

research

∙ 11/23/2020

Exploring Contrastive Learning in Human Activity Recognition for Healthcare

Human Activity Recognition (HAR) constitutes one of the most important t...

0 Chi Ian Tang, et al. ∙

research

∙ 11/18/2020

Self-supervised transfer learning of physiological representations from free-living wearable data

Wearable devices such as smartwatches are becoming increasingly popular ...

0 Dimitris Spathis, et al. ∙

research

∙ 11/09/2020

Learning Generalizable Physiological Representations from Large-scale Wearable Data

To date, research on sensor-equipped mobile devices has primarily focuse...

0 Dimitris Spathis, et al. ∙

research

∙ 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...

9 Dionysis Manousakas, et al. ∙

research

∙ 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...

0 Shyam A. Tailor, et al. ∙

research

∙ 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...

0 Chloë Brown, et al. ∙

research

∙ 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...

0 Cristina Kadar, et al. ∙

research

∙ 07/18/2019

Federated PCA with Adaptive Rank Estimation

In many online machine learning and data science tasks such as data summ...

8 Andreas Grammenos, et al. ∙

research

∙ 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'...

0 Xiao Zhou, et al. ∙

research

∙ 07/05/2018

Detecting Socio-Economic Impact of Cultural Investment Through Geo-Social Network Analysis

Taking advantage of nearly 4 million transition records for three years ...

0 Xiao Zhou, et al. ∙

Cecilia Mascolo

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