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CORDIS - EU research results
CORDIS

Artificial Intelligence for the European Open Science Cloud

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Communication, training, outreach, dissemination and collaboration/liaison and exploitation plans (opens in new window)

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 (opens in new window)

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

Initial plan for Quality Assurance and data FAIRness (opens in new window)

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 (opens in new window)

Will define the project DMP as expected in the GA

Updated Communication, training, outreach, dissemination and collaboration/ liaison and exploitation plans and results (opens in new window)

This document will contain an update and review of D21

Implementation plan (opens in new window)

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

State of the art landscaping and initial platform requirements specification (opens in new window)

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 (opens in new window)

This document provides the first architecture specification of the AI platform

Analysis of user applications, collection of requirements (opens in new window)

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

Publications

Detecting district heating leaks in thermal imagery: Comparison of anomaly detection methods (opens in new window)

Author(s): Vollmer, Elena; Ruck, Julian; Volk, Rebekka; Schultmann, Frank
Published in: Automation in Construction, 2024, ISSN 1872-7891
Publisher: Elsevier
DOI: 10.5445/ir/1000175054

Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows (opens in new window)

Author(s): Miriam Cobo; Pablo Menéndez Fernández-Miranda; Gorka Bastarrika; Lara Lloret Iglesias
Published in: Scientific Data, 2023, ISSN 2052-4463
Publisher: Springer Nature
DOI: 10.1038/S41597-023-02641-X

Frouros: A Python library for drift detection in machine learning systems (opens in new window)

Author(s): Céspedes-Sisniega, Jaime; López-García, Álvaro
Published in: SoftwareX, 2022, ISSN 2352-7110
Publisher: Elsevier
DOI: 10.1016/J.SOFTX.2024.101733

Secure Multi-Party Computation for Magnetic Resonance Imaging Classification (opens in new window)

Author(s): Giang Nguyen, Oleksandr Lytvyn
Published in: Procedia Computer Science, 2023, ISSN 1877-0509
Publisher: Elsevier B.V.
DOI: 10.1016/j.procs.2023.03.006

Infrastructure Manager: A TOSCA-Based Orchestrator for the Computing Continuum (opens in new window)

Author(s): Caballer, Miguel; Moltó, Germán; Calatrava, Amanda; Blanquer, Ignacio
Published in: Journal of Grid Computing, 2023, ISSN 1572-9184
Publisher: Springer Nature B.V.
DOI: 10.1007/S10723-023-09686-7

IEEE Access (opens in new window)

Author(s): Giang, Nguyen; Lytvyn, Oleksandr
Published in: IEEE Access, Issue 12, 2024, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2024.3486810

Future Generation Computer Systems (opens in new window)

Author(s): Sebastián, Risco; Caterina, Alarcón; Sergio, Langarita; Caballer, Miguel; Moltó, Germán
Published in: Future Generation Computer Systems, Issue 153, 2023, ISSN 0167-739X
Publisher: Elsevier
DOI: 10.1016/J.FUTURE.2023.12.015

A Python library to check the level of anonymity of a dataset (opens in new window)

Author(s): Judith Sáinz-Pardo Díaz, Álvaro López García
Published in: Scientific Data, 2022, ISSN 2052-4463
Publisher: Springer Nature
DOI: 10.1038/S41597-022-01894-2

Network security AIOps for online stream data monitoring (opens in new window)

Author(s): Giang Nguyen; Stefan Dlugolinsky; Viet Tran; Álvaro López García
Published in: Neural Computing and Applications, 2024, ISSN 1433-3058
Publisher: Springer Nature
DOI: 10.1007/S00521-024-09863-Z

An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks (opens in new window)

Author(s): Giang Nguyen, Binh Minh Nguyen; Trung Tran; Thieu Nguyen; Giang Nguyen
Published in: nternational Journal of Computational Intelligence Systems, 2022, ISSN 1875-6883
Publisher: Springer Nature
DOI: 10.1007/s44196-022-00156-8

Study of the performance and scalability of federated learning for medical imaging with intermittent clients (opens in new window)

Author(s): Sáinz-Pardo Díaz, Judith; López García, Álvaro
Published in: Neurocomputing, Issue 518, 2023, ISSN 1872-8286
Publisher: 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 (opens in new window)

Author(s): Fernández-Miranda, P.M., Fraguela, E.M., de Linera-Alperi, M.Á. et al.
Published in: Nature Scientific Data, 2024, ISSN 2045-2322
Publisher: Springer Nature
DOI: 10.1038/S41598-024-64941-5

Future Generation Computer Systems (opens in new window)

Author(s): Céspedes Sisniega, Jaime; Rodríguez, Vicente; Moltó, Germán; López García, Álvaro
Published in: Future Generation Computer Systems, Issue 161, 2024, ISSN 0167-739X
Publisher: Elsevier
DOI: 10.1016/j.future.2024.07.010

Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas (opens in new window)

Author(s): Sinz-Pardo Daz, Judith; Castrillo, Mara; Bartok, Juraj; Heredia, Ignacio; Ondk, Irina Malkin; Martynovskyi, Ivan; Alibabaei, Khadijeh; Berberi, Lisana; Kozlov, Valentin; Lpez Garca, lvaro
Published in: Earth Science Informatics, 2024, ISSN 1865-0481
Publisher: Springer Nature
DOI: 10.5445/ir/1000174167

Data Partitioning Effects in Federated Learning (opens in new window)

Author(s): Ahmadzai, Mirwais; Nguyen, Giang
Published in: Software Quality Analysis, Monitoring, Improvement, and Applications 2023, 2023, ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)
DOI: 10.5281/zenodo.10378239

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach (opens in new window)

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

Enhancing AI development in the EOSC context: AI4EOSC and iMagine (opens in new window)

Author(s): Alibabaei, Khadijeh; Kozlov, Valentin; Lopez Garcia, Alvaro; Sipos, Gergely
Published in: IBERGRID2024, 2024
Publisher: IBERGRID2024
DOI: 10.5281/zenodo.14056054

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

Author(s): Sinz-Pardo Daz, Judith; Lpez Garca, lvaro
Published in: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), 2023
Publisher: IEEE

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