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Found 4 papers, 2 papers with code
Transfer Learning for the Efficient Detection of COVID-19 from Smartphone Audio Data
The efficacy of this solution mainly depends on the performances of AI algorithms applied to the collected data and their possible implementation directly on the users' mobile devices.
PLIERS: a Popularity-Based Recommender System for Content Dissemination in Online Social Networks
In this paper, we propose a novel tag-based recommender system called PLIERS, which relies on the assumption that users are mainly interested in items and tags with similar popularity to those they already own.
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images
In recent months, the monkeypox (mpox) virus -- previously endemic in a limited area of the world -- has started spreading in multiple countries until being declared a ``public health emergency of international concern'' by the World Health Organization.
L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data
Smartphones and wearable devices, along with Artificial Intelligence, can represent a game-changer in the pandemic control, by implementing low-cost and pervasive solutions to recognize the development of new diseases at their early stages and by potentially avoiding the rise of new outbreaks.
