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Practical self-supervised continual learning with continual fine-tuning


Mar 30, 2023
Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Cecilia Mascolo, Akhil Mathur

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Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing


Mar 27, 2023
Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar

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


May 06, 2022
Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Soren Brage, Nicholas Wareham, Cecilia Mascolo

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A Summary of the ComParE COVID-19 Challenges


Feb 17, 2022
Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller

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* 18 pages, 13 figures 

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COVID-19 Disease Progression Prediction via Audio Signals: A Longitudinal Study


Jan 04, 2022
Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo

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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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Sounds of COVID-19: exploring realistic performance of audio-based digital testing


Jun 29, 2021
Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Brown, Jagmohan Chauhan, Ting Dang, Andreas Grammenos, Apinan Hasthanasombat, Andres Floto, Pietro Cicuta, Cecilia Mascolo

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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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