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09/12/2023
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models
Large Language Models (LLMs) have demonstrated remarkable generalization...
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07/31/2023
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries
Limited availability of labeled data for machine learning on biomedical ...
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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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07/22/2023
The State of Algorithmic Fairness in Mobile Human-Computer Interaction
This paper explores the intersection of Artificial Intelligence and Mach...
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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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03/27/2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing
The field of mobile, wearable, and ubiquitous computing (UbiComp) is und...
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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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05/26/2022
Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database
Generalizing to new populations and domains in machine learning is still...
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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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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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01/04/2022
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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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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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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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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02/10/2021
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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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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11/13/2018
Interactive dimensionality reduction using similarity projections
Recent advances in machine learning allow us to analyze and describe the...
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12/19/2016
