Publications

Welcome to the Deliverables & Documents section! Here you will find project deliverables published on Zenodo as well as other written outputs by the project.
Stay tuned for updates!

Type of content
Showing 21 - 30 of 41
Conference paper

Addressing Complex Data Integration and Harmonization Scenarios

Published on:
Pre-print version of the paper originally published via Springer Nature for the EHB 2024 conference.... Read more
Authors: University of Piraeus Research Center
Project deliverable

D7.1 - Study initiation package

Published on:
This document provides information on procedures that will be used for the feasibility study, including details on recruitment strategies, intervention description, outcomes assessed and timing of the study.... Read more
Authors: University of Ljubljana
Project deliverable

D6.1 - Initial technical specification

Published on:
Initial specification of the design of the system architecture integrating all the components defined in the project to be used in the pilot study.... Read more
Authors: Engineering Ingegneria Informatica
Report

AI in Healthcare: The AI Act and other Regulatory Issues

Published on:
The extraordinary developments in artificial intelligence in recent years hold the promise of facilitating advances in many different fields, and healthcare is no exception.... Read more
Authors: Favaro, John
Conference paper

SmartCHANGE Risk Prediction Tool: Demonstrating Risk Assessment for Children and Youth

Published on:
Non-communicable diseases (NCDs) have become a significant public health challenge in developed countries, driven by common risk factors such as obesity, low physical activity, and unhealthy lifestyle choices.... Read more
Authors: Jožef Stefan Institute
Conference paper

A Data Modeling Process for Achieving Interoperability

Published on:
Pre-print of the conference paper originally published through Springer Nature for the EHB 2023 Conference.... Read more
Authors: University of Piraeus Research Center
Conference paper

Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms and Predictive Bias

Published on:
With the integration of artificial intelligence into real-world decision-support systems, there is increasing interest in tools that facilitate the identification of potential biases and fairness-related harms of machine learning mo... Read more
Authors: Eindhoven University of Technology
Conference paper

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

Published on:
Human Activity Recognition (HAR) benefits various application domains, including health and elderly care. Traditional HAR involves constructing pipelines reliant on centralized user data, which can pose privacy concerns as they necessitate the uploading of user data to a centralized server.... Read more
Authors: Università della Svizzera italiana
Conference paper

Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning

Published on:
Federated Learning (FL), a privacy-aware approach in distributed deep learning environments, enables many clients to collaboratively train a model without sharing sensitive data, thereby reducing privacy risks.... Read more
Authors: Università della Svizzera italiana
Conference paper

A Cross-Sector Data Space for Correlating Environmental Risks with Human Health

Published on:
Pre-print of the paper originally published in Springer Nature for the EMCIS 2023 Conference.... Read more
Authors: University of Piraeus Research Center