Artificial Intelligence for the European Open Science Cloud

Información del proyecto

AI4EOSC

Identificador del acuerdo de subvención: 101058593

DOI

10.3030/101058593

Proyecto cerrado

Fecha de la firma de la CE 11 Mayo 2022

Fecha de inicio 1 Septiembre 2022

Fecha de finalización 31 Agosto 2025

Financiado con arreglo a

• Research infrastructures

Coste total

€ 4 997 125,00

Aportación de la UE

€ 4 997 125,00

Coordinado por

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (9)

Communication, training, outreach, dissemination and collaboration/liaison and exploitation plans

This document will contain the plans for all dissemination communication collaboration and collaborationliaison activities exploitation including the basic metrics to measure the viability of the presented plan

WP4 Implementation plan

This document describes the implementation plan for the first implementation and integration phase

Initial plan for Quality Assurance and data FAIRness

Definition and plan of the Software Services and Applications Quality Assurance and the automatic assessment of data FAIRness Plan of infrastructure for the services Software and application development

Data Management Plan

Will define the project DMP as expected in the GA

Updated Communication, training, outreach, dissemination and collaboration/ liaison and exploitation plans and results

This document will contain an update and review of D21

Implementation plan

This document describes the implementation plan for the first implementation and integration phase

State of the art landscaping and initial platform requirements specification

This document provides an overview of the most relevant technologies available together with the key requirements of the AI platform and the codesign approach employed

Initial high-level architecture specification

This document provides the first architecture specification of the AI platform

Analysis of user applications, collection of requirements

This deliverable can be combined with D31 State of the art landscaping and initial platform requirements and provides a prioritised list of user requirements and the implementation roadmap

Publicaciones

Peer reviewed articles (14)

Detecting district heating leaks in thermal imagery: Comparison of anomaly detection methods

Autores: Vollmer, Elena; Ruck, Julian; Volk, Rebekka; Schultmann, Frank
Publicado en: Automation in Construction, 2024, ISSN 1872-7891
Editor: Elsevier
DOI: 10.5445/ir/1000175054

Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows

Autores: Miriam Cobo; Pablo Menéndez Fernández-Miranda; Gorka Bastarrika; Lara Lloret Iglesias
Publicado en: Scientific Data, 2023, ISSN 2052-4463
Editor: Springer Nature
DOI: 10.1038/S41597-023-02641-X

Frouros: A Python library for drift detection in machine learning systems

Autores: Céspedes-Sisniega, Jaime; López-García, Álvaro
Publicado en: SoftwareX, 2022, ISSN 2352-7110
Editor: Elsevier
DOI: 10.1016/J.SOFTX.2024.101733

Secure Multi-Party Computation for Magnetic Resonance Imaging Classification

Autores: Giang Nguyen, Oleksandr Lytvyn
Publicado en: Procedia Computer Science, 2023, ISSN 1877-0509
Editor: Elsevier B.V.
DOI: 10.1016/j.procs.2023.03.006

Infrastructure Manager: A TOSCA-Based Orchestrator for the Computing Continuum

Autores: Caballer, Miguel; Moltó, Germán; Calatrava, Amanda; Blanquer, Ignacio
Publicado en: Journal of Grid Computing, 2023, ISSN 1572-9184
Editor: Springer Nature B.V.
DOI: 10.1007/S10723-023-09686-7

IEEE Access

Autores: Giang, Nguyen; Lytvyn, Oleksandr
Publicado en: IEEE Access, Edición 12, 2024, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2024.3486810

Future Generation Computer Systems

Autores: Sebastián, Risco; Caterina, Alarcón; Sergio, Langarita; Caballer, Miguel; Moltó, Germán
Publicado en: Future Generation Computer Systems, Edición 153, 2023, ISSN 0167-739X
Editor: Elsevier
DOI: 10.1016/J.FUTURE.2023.12.015

A Python library to check the level of anonymity of a dataset

Autores: Judith Sáinz-Pardo Díaz, Álvaro López García
Publicado en: Scientific Data, 2022, ISSN 2052-4463
Editor: Springer Nature
DOI: 10.1038/S41597-022-01894-2

Network security AIOps for online stream data monitoring

Autores: Giang Nguyen; Stefan Dlugolinsky; Viet Tran; Álvaro López García
Publicado en: Neural Computing and Applications, 2024, ISSN 1433-3058
Editor: Springer Nature
DOI: 10.1007/S00521-024-09863-Z

An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks

Autores: Giang Nguyen, Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang Nguyen
Publicado en: nternational Journal of Computational Intelligence Systems, 2022, ISSN 1875-6883
Editor: Springer Nature
DOI: 10.1007/s44196-022-00156-8

Study of the performance and scalability of federated learning for medical imaging with intermittent clients

Autores: Sáinz-Pardo Díaz, Judith; López García, Álvaro
Publicado en: Neurocomputing, Edición 518, 2023, ISSN 1872-8286
Editor: Elsevier
DOI: 10.1016/J.NEUCOM.2022.11.011

A retrospective study of deep learning generalization across two centers and multiple models of X-ray devices using COVID-19 chest-X rays

Autores: Fernández-Miranda, P.M., Fraguela, E.M., de Linera-Alperi, M.Á. et al.
Publicado en: Nature Scientific Data, 2024, ISSN 2045-2322
Editor: Springer Nature
DOI: 10.1038/S41598-024-64941-5

Future Generation Computer Systems

Autores: Céspedes Sisniega, Jaime; Rodríguez, Vicente; Moltó, Germán; López García, Álvaro
Publicado en: Future Generation Computer Systems, Edición 161, 2024, ISSN 0167-739X
Editor: Elsevier
DOI: 10.1016/j.future.2024.07.010

Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas

Autores: Sinz-Pardo Daz, Judith; Castrillo, Mara; Bartok, Juraj; Heredia, Ignacio; Ondk, Irina Malkin; Martynovskyi, Ivan; Alibabaei, Khadijeh; Berberi, Lisana; Kozlov, Valentin; Lpez Garca, lvaro
Publicado en: Earth Science Informatics, 2024, ISSN 1865-0481
Editor: Springer Nature
DOI: 10.5445/ir/1000174167

Conference proceedings (4)

Data Partitioning Effects in Federated Learning

Autores: Ahmadzai, Mirwais; Nguyen, Giang
Publicado en: Software Quality Analysis, Monitoring, Improvement, and Applications 2023, 2023, ISSN 1613-0073
Editor: CEUR Workshop Proceedings (CEUR-WS.org)
DOI: 10.5281/zenodo.10378239

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach

Autores: Sáinz-Pardo Díaz, Judith; Heredia Canales, Andres; Heredia, Ignacio; Viet, Tran; Nguyen, Giang; Alibabaei, Khadijeh; Obregón Ruiz, Marta; Rebolledo Ruiz, Susana; López García, Álvaro
Publicado en: IH&MMSec '24: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security, 2024, ISBN 979-8-4007-0637-0
Editor: Association for Computing MachineryNew YorkNYUnited States
DOI: 10.1145/3658664.3659642

Enhancing AI development in the EOSC context: AI4EOSC and iMagine

Autores: Alibabaei, Khadijeh; Kozlov, Valentin; Lopez Garcia, Alvaro; Sipos, Gergely
Publicado en: IBERGRID2024, 2024
Editor: IBERGRID2024
DOI: 10.5281/zenodo.14056054

Comparison of machine learning models applied on anonymized data with different techniques

Autores: Sinz-Pardo Daz, Judith; Lpez Garca, lvaro
Publicado en: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), 2023
Editor: IEEE