Deliverables & Documents

Type of content

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!

Showing 1 - 10 of 17
Report

AI in Healthcare: The AI Act and other Regulatory Issues

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Authors: Favaro, John
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
Conference publication

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

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Authors: Jožef Stefan Institute
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
Conference publication

A Data Modeling Process for Achieving Interoperability

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Authors: University of Piraeus
The ability of two or more systems to communicate with each other is known as interoperability. Semantic and syntactic are the two categories used in each Big Data sector.... Read more
Conference publication

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

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Authors: Eindhoven University of Technology
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 machin... Read more
Conference publication

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

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Authors: Università della Svizzera italiana
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
Conference publication

AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model

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Authors: Università della Svizzera italiana
Interpretable deep learning aims at developing neural architectures whose decision-making processes could be understood by their users. Among these techniqes, Concept Bottleneck Models enhance the interpretability of neural networks by integrating a layer of human-understandable concepts.... Read more
Conference publication

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

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Authors: Università della Svizzera italiana
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
Conference publication

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

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Authors: University of Piraeus
Data spaces are one of the key technology pillars of the European Strategy for Data, which intends to establish a single market inside the European Union (EU) for the efficient and secure sharing and interchange of data across industries.... Read more
Conference publication

SmartCHANGE: AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth

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Authors: Nina Reščič; Janna Alberts; Teatske M. Altenburg; Mai J. M. Chinapaw; Antonio De Nigro; Dario Fenoglio; Martin Gjoreski; Anton Gradišek; Gregor Jurak; Athanasios Kiourtis; Dimosthenis Kyriazis; Marc Langheinrich; Elena Mancuso; Argyro Mavrogiorgou; Mykola Pechenizkiy; Roberto Pratola; José Ribeiro; Maroje Sorić; Fawad Taj; Tuija H. Tammelin; Martijn Vastenburg; Anna Vilanova; Tanja G. M. Vrijkotte; Mitja Luštrek.
The SmartCHANGE project, a Horizon-Europe Research & Innovation project that has been ongoing since May 2023 and is scheduled to conclude in April 2027, aims to develop AI-driven decision-support tools to identify and reduce the long-term risk of non-communicable chronic diseases (NCDs) in ch... Read more
Conference publication

Federated Learning for Privacy-aware Cognitive Workload Estimation

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Authors: Università della Svizzera italiana
Human physiological monitoring has become easily accessible by integrating wearable devices into our lives, providing valuable real-time data. Methods for Cognitive Workload (CW) estimation utilize such physiological data to quantify CW during task execution.... Read more