Artificial Intelligence for the European Open Science Cloud

Informacje na temat projektu

AI4EOSC

Identyfikator umowy o grant: 101058593

DOI

10.3030/101058593

Projekt został zamknięty

Data podpisania przez KE 11 Maja 2022

Data rozpoczęcia 1 Września 2022

Data zakończenia 31 Sierpnia 2025

Finansowanie w ramach

• Research infrastructures

Koszt całkowity

€ 4 997 125,00

Wkład UE

€ 4 997 125,00

Koordynowany przez

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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

Publikacje

Peer reviewed articles (27)

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

Autorzy: Vollmer, Elena; Ruck, Julian; Volk, Rebekka; Schultmann, Frank
Opublikowane w: Automation in Construction, 2024, ISSN 1872-7891
Wydawca: Elsevier
DOI: 10.5445/ir/1000175054

Big Data Deduplication in Data Lake

Autorzy: Jakub Hlavačka, Martin Bobák, Ladislav Hluchý
Opublikowane w: Acta Polytechnica Hungarica, 2024, ISSN 1785-8860
Wydawca: Óbuda University
DOI: 10.12700/APH.21.11.2024.11.17

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

Autorzy: Miriam Cobo; Pablo Menéndez Fernández-Miranda; Gorka Bastarrika; Lara Lloret Iglesias
Opublikowane w: Scientific Data, 2023, ISSN 2052-4463
Wydawca: Springer Nature
DOI: 10.1038/S41597-023-02641-X

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

Autorzy: Céspedes-Sisniega, Jaime; López-García, Álvaro
Opublikowane w: SoftwareX, 2022, ISSN 2352-7110
Wydawca: Elsevier
DOI: 10.1016/J.SOFTX.2024.101733

Secure Multi-Party Computation for Magnetic Resonance Imaging Classification

Autorzy: Giang Nguyen, Oleksandr Lytvyn
Opublikowane w: Procedia Computer Science, 2023, ISSN 1877-0509
Wydawca: Elsevier B.V.
DOI: 10.1016/j.procs.2023.03.006

Atmosphere

Autorzy: Zuzana Gáborčíková; Juraj Bartok; Irina Malkin Ondík; Wanda Benešová; Lukáš Ivica; Silvia Hnilicová; Ladislav Gaál
Opublikowane w: Atmosphere, 2024, ISSN 2073-4433
Wydawca: MDPI
DOI: 10.3390/ATMOS15080890

Leak detection using thermal imagery: Deep learning versus traditional computer vision state-of-the-art

Autorzy: Elena Vollmer, Julian Ruck, Rebekka Volk, Frank Schultmann
Opublikowane w: ISPRS Journal of Photogrammetry and Remote Sensing, Numer 228, 2025, ISSN 0924-2716
Wydawca: Elsevier BV
DOI: 10.5445/IR/1000183573

Dynamic configuration and data security for bioinformatics cloud services with the Laniakea Dashboard

Autorzy: Marco Antonio Tangaro; Marica Antonacci; Giacinto Donvito; Nadina Foggetti; Pietro Mandreoli; Daniele Colombo; Graziano Pesole; Federico Zambelli
Opublikowane w: NAR Genomics and Bioinformatics, 2024, ISSN 2631-9268
Wydawca: Oxford University PRess
DOI: 10.1093/NARGAB/LQAE140

Efficient and scalable covariate drift detection in machine learning systems with serverless computing

Autorzy: Jaime Céspedes Sisniega, Vicente Rodríguez, Germán Moltó, Álvaro López García
Opublikowane w: Future Generation Computer Systems, Numer 161, 2024, ISSN 0167-739X
Wydawca: Elsevier BV
DOI: 10.1016/J.FUTURE.2024.07.010

Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools

Autorzy: Giang Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Lisana Berberi, Oleksandr Lytvyn, Valentin Kozlov, Viet Tran, Germán Moltó, Álvaro López García
Opublikowane w: Artificial Intelligence Review, Numer 58, 2024, ISSN 1573-7462
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S10462-024-11036-2

Deep learning based soft-sensor for continuous chlorophyll estimation on decentralized data

Autorzy: Sáinz-Pardo Díaz, Judith; Castrillo, María; López García, Álvaro
Opublikowane w: Water Research, 2023, ISSN 1879-2448
Wydawca: Elsevier
DOI: 10.1016/J.WATRES.2023.120726

On the reconstruction of ocean interior variables: a feasibility data-driven study with simulated surface and water column observations

Autorzy: Aina García-Espriu; Cristina González-Haro; Fernando Aguilar-Gómez
Opublikowane w: Ocean Science, 2025, ISSN 1812-0792
Wydawca: European Geosciences Union
DOI: 10.5194/OS-21-2579-2025

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

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

IEEE Access

Autorzy: Giang, Nguyen; Lytvyn, Oleksandr
Opublikowane w: IEEE Access, Numer 12, 2024, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2024.3486810

Future Generation Computer Systems

Autorzy: Sebastián, Risco; Caterina, Alarcón; Sergio, Langarita; Caballer, Miguel; Moltó, Germán
Opublikowane w: Future Generation Computer Systems, Numer 153, 2023, ISSN 0167-739X
Wydawca: Elsevier
DOI: 10.1016/J.FUTURE.2023.12.015

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

Autorzy: Judith Sáinz-Pardo Díaz, Álvaro López García
Opublikowane w: Scientific Data, 2022, ISSN 2052-4463
Wydawca: Springer Nature
DOI: 10.1038/S41597-022-01894-2

Optimal Differential Privacy for Deep Learning Model Training

Autorzy: Hlib Kokin, Oleksandr Lytvyn, Giang Nguyen
Opublikowane w: Procedia Computer Science, Numer 246, 2025, ISSN 1877-0509
Wydawca: Elsevier BV
DOI: 10.1016/J.PROCS.2024.09.483

Network security AIOps for online stream data monitoring

Autorzy: Giang Nguyen; Stefan Dlugolinsky; Viet Tran; Álvaro López García
Opublikowane w: Neural Computing and Applications, 2024, ISSN 1433-3058
Wydawca: Springer Nature
DOI: 10.1007/S00521-024-09863-Z

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

Autorzy: Giang Nguyen, Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang Nguyen
Opublikowane w: nternational Journal of Computational Intelligence Systems, 2022, ISSN 1875-6883
Wydawca: Springer Nature
DOI: 10.1007/s44196-022-00156-8

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

Autorzy: Sáinz-Pardo Díaz, Judith; López García, Álvaro
Opublikowane w: Neurocomputing, Numer 518, 2023, ISSN 1872-8286
Wydawca: Elsevier
DOI: 10.1016/J.NEUCOM.2022.11.011

Enhancing UAS-Based Multispectral Semantic Segmentation Through Feature Engineering

Autorzy: Elena Vollmer, Mishal Benz, James Kahn, Leon Klug, Rebekka Volk, Frank Schultmann, Markus Götz
Opublikowane w: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numer 18, 2025, ISSN 1939-1404
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.5445/IR/1000179635/V2

Secure Federated Learning for Multi-Party Network Monitoring

Autorzy: Oleksandr Lytvyn, Giang Nguyen
Opublikowane w: IEEE Access, Numer 12, 2024, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3486810

Machine learning operations landscape: platforms and tools

Autorzy: Lisana Berberi, Valentin Kozlov, Giang Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Germán Moltó, Viet Tran, Álvaro López García
Opublikowane w: Artificial Intelligence Review, Numer 58, 2025, ISSN 1573-7462
Wydawca: Springer Science and Business Media LLC
DOI: 10.1007/S10462-025-11164-3

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

Autorzy: Fernández-Miranda, P.M., Fraguela, E.M., de Linera-Alperi, M.Á. et al.
Opublikowane w: Nature Scientific Data, 2024, ISSN 2045-2322
Wydawca: Springer Nature
DOI: 10.1038/S41598-024-64941-5

Rescheduling serverless workloads across the cloud-to-edge continuum

Autorzy: Sebastián Risco, Caterina Alarcón, Sergio Langarita, Miguel Caballer, Germán Moltó
Opublikowane w: Future Generation Computer Systems, Numer 153, 2025, ISSN 0167-739X
Wydawca: Elsevier BV
DOI: 10.1016/J.FUTURE.2023.12.015

Future Generation Computer Systems

Autorzy: Céspedes Sisniega, Jaime; Rodríguez, Vicente; Moltó, Germán; López García, Álvaro
Opublikowane w: Future Generation Computer Systems, Numer 161, 2024, ISSN 0167-739X
Wydawca: Elsevier
DOI: 10.1016/j.future.2024.07.010

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

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

Conference proceedings (5)

Data Partitioning Effects in Federated Learning

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

iMagine: AI-Powered Image Data Analysis in Aquatic Science

Autorzy: Elnaz Azmi; Khadijeh Alibabaei; Valentin Kozlov; Álvaro López García; Dick Schaap; Gergely Sipos
Opublikowane w: Proceedings of the Platform for Advanced Scientific Computing Conference, 2025
Wydawca: Association for Computing Machinery
DOI: 10.1145/3732775.3733584

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach

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

Enhancing AI development in the EOSC context: AI4EOSC and iMagine

Autorzy: Alibabaei, Khadijeh; Kozlov, Valentin; Lopez Garcia, Alvaro; Sipos, Gergely
Opublikowane w: IBERGRID2024, 2024
Wydawca: IBERGRID2024
DOI: 10.5281/zenodo.14056054

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

Autorzy: Sinz-Pardo Daz, Judith; Lpez Garca, lvaro
Opublikowane w: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), 2023
Wydawca: IEEE

Book chapters (1)

Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches

Autorzy: Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez Hermosillo Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit
Opublikowane w: Lecture Notes in Computer Science, Computational Science and Its Applications – ICCSA 2025, 2025
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-97000-9_18