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Dimitris Spathis

Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction

Nov 20, 2022
Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Soren Brage, Nicholas Wareham, Cecilia Mascolo

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* Extended Abstract presented at Machine Learning for Health (ML4H) symposium 2022, November 28th, 2022, New Orleans, United States & Virtual, http://www.ml4h.cc, 5 pages

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Looking for Out-of-Distribution Environments in Critical Care: A case study with the eICU Database

May 26, 2022
Dimitris Spathis, Stephanie L. Hyland

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Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes

Nov 13, 2021
Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo

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* Machine Learning for Health (ML4H) - Extended Abstract

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Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables

Jun 21, 2021
Benjamin Lucas Searle, Dimitris Spathis, Marios Constantinides, Daniele Quercia, Cecilia Mascolo

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* Accepted to ACM MobileHCI 2021 (20 pages, dataset/code: https://github.com/Bhorda/BFRBAnticipationDataset)

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