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Shkurta Gashi

As seen in: Nature, arXiv
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Articles

[2512.03287] Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors

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By Mohan Li, Shkurta Gashi, Davide Casnici, Matias Laporte
| arXiv
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Modeling multiple sclerosis using mobile and wearable sensor data - npj Digital Medicine

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By Pietro Oldrati, Liliana Mondragón Barrios, Firat Ozdemir, Gunnar Rätsch, Shkurta Gashi, Max Moebus, Marc Hilty, PHRT Consortium
| Nature Verified
Abstract Multiple sclerosis (MS) is a neurological disease of the central nervous system that is the leading cause of non-traumatic disability in young adults. Clinical laboratory tests and neuroimaging studies are the standard methods to diagnose and monitor MS. However, due to infrequent clinic visits, it is fundamental to identify remote and frequent approaches for monitoring MS, which enable timely diagnosis, early access to treatment, and slowing down disease progression.
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[2401.05437] Representation Learning for Wearable-Based Applications in the Case of Missing Data

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By Shkurta Gashi, Christian Holz, Yutong Xiang
| arXiv
[Submitted on 8 Jan 2024 ( v1 ), last revised 12 Jan 2024 (this version, v2)] Title:Representation Learning for Wearable-Based Applications in the Case of Missing Data Download a PDF of the paper titled Representation Learning for Wearable-Based Applications in the Case of Missing Data, by Janosch Jungo and 3 other authors Download PDF HTML (experimental) Abstract:Wearable devices continuously collect sensor data and use it to infer an individual's behavior, such as sleep, physical activity,...
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