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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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Improving Feature Generalizability with Multitask Learning in Class Incremental Learning


Apr 26, 2022
Dong Ma, Chi Ian Tang, Cecilia Mascolo


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YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers


Mar 08, 2022
Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo

* Accepted for publication at IPSN 2022 

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Enabling On-Device Smartphone GPU based Training: Lessons Learned


Feb 21, 2022
Anish Das, Young D. Kwon, Jagmohan Chauhan, 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

* 18 pages, 13 figures 

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Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift


Jan 25, 2022
Tong Xia, Jing Han, Cecilia Mascolo

* Accepted by The 6th International Workshop on Health Intelligence (W3PHIAI-22) 

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Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces


Jan 19, 2022
Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy


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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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Benchmarking Uncertainty Qualification on Biosignal Classification Tasks under Dataset Shift


Dec 16, 2021
Tong Xia, Jing Han, Cecilia Mascolo

* Accepted by THE 6TH INTERNATIONAL WORKSHOP ON HEALTH INTELLIGENCE (W3PHIAI-22) 

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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

* Machine Learning for Health (ML4H) - Extended Abstract 

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