Showing 1–20 of 36 results
/ Date/ Name
Jun 10, 2020Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound DataMay 26, 2022Looking for Out-of-Distribution Environments in Multi-center Critical Care DataNov 13, 2021Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical OutcomesSep 12, 2023The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language ModelsMar 14, 2024A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024Oct 27, 2024PaPaGei: Open Foundation Models for Optical Physiological SignalsMay 6, 2022Longitudinal cardio-respiratory fitness prediction through wearables in free-living environmentsNov 18, 2020Self-supervised transfer learning of physiological representations from free-living wearable dataJun 21, 2021Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with WearablesDec 19, 2016Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction TechniquesNov 9, 2020Learning Generalizable Physiological Representations from Large-scale Wearable DataNov 13, 2018Interactive dimensionality reduction using similarity projectionsJul 31, 2023UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness PredictionJul 31, 2023CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent MaskingApr 3, 2025Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor ContactNov 23, 2020Exploring Contrastive Learning in Human Activity Recognition for HealthcareFeb 11, 2021SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled DataFeb 10, 2021Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced DataFeb 17, 2022A Summary of the ComParE COVID-19 ChallengesJan 4, 2022Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation