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

Informazioni relative al progetto

SmartCHANGE

ID dell’accordo di sovvenzione: 101080965

DOI

10.3030/101080965

Data della firma CE 20 Marzo 2023

Data di avvio 1 Maggio 2023

Data di completamento 30 Aprile 2027

Finanziato da

• Health

Costo totale

€ 5 967 395,00

Contributo UE

€ 5 967 395,00

Coordinato da

INSTITUT JOZEF STEFAN
Slovenia

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Data Management Plan (1)

Data management plan

Best practices and standards for project data, assessment of suitability for sharing

Documents, reports (3)

Initial dissemination, communication and exploitation plan

Plan for dissemination, communication and exploitation, including stakeholder groups and targeted engagement activities

SELP benchmark

A description of key ethical and legal requirements, and their frame

Initial technical specification

Initial specification of the design of the system architecture integrating all the components defined in the project to be used in the pilot study

Websites, patent fillings, videos etc. (1)

Project website

Website with project presentation, news and public materials (website and a short description)

Pubblicazioni

Conference proceedings (5)

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

Autori: Dario Fenoglio, Mohan Li, Davide Casnici, Matias Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich
Pubblicato in: 2024 International Conference on Intelligent Environments (IE), 2024
Editore: IEEE
DOI: 10.1109/IE61493.2024.10599924

A Federated Unsupervised Personalisation for Cognitive Workload Estimation

Autori: Dario Fenoglio, Martin Gjoreski, Marc Langheinrich
Pubblicato in: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 2023
Editore: ACM
DOI: 10.1145/3626705.3631796

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

Autori: 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
Pubblicato in: 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS), 2024
Editore: IEEE
DOI: 10.1109/ICAMCS59110.2023.00020

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

Pubblicato in: Proceedings of Slovenian Conference on Artificial Intelligence 2024, 2024
Editore: Jožef Stefan Instutute
DOI: 10.70314/is.2024.scai.8844

Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms andPredictive Bias

Autori: Adam Dubowski, Hilde Weerts, Anouk Wolters, Mykola Pechenizkiy
Pubblicato in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70371-3_31