E-LIB Suche - Ergebnisse für: Parra-Ullauri, Juan Marcelo

1

Federated Analytics With Data Augmentation in Domain Genera..:

Zhang, Xunzheng ; Parra-Ullauri, Juan Marcelo ; Moazzeni, Shadi...
IEEE Transactions on Machine Learning in Communications and Networking. 2 (2024) - p. 560-579 , 2024

Link: https://doi.org/10.1109/..

2

Federated Analytics for 6G Networks: Applications, Challeng..:

Parra-Ullauri, Juan Marcelo ; Zhang, Xunzheng ; Bravalheri, Anderson...
IEEE Network. 38 (2024) 2 - p. 9-17 , 2024

Link: https://doi.org/10.1109/..

3

kubeFlower: A privacy-preserving framework for Kubernetes-b..:

Parra-Ullauri, Juan Marcelo ; Madhukumar, Hari ; Nicolaescu, Adrian-Cristian...
Future Generation Computer Systems. 157 (2024) - p. 558-572 , 2024

Link: https://doi.org/10.1016/..

4

Reward-Reinforced Generative Adversarial Networks for Multi..:

Zheng, Changgang ; Yang, Shufan ; Parra-Ullauri, Juan Marcelo..
IEEE Transactions on Emerging Topics in Computational Intelligence. 6 (2022) 3 - p. 479-488 , 2022

Link: https://doi.org/10.1109/..

5

Event-driven temporal models for explanations - ETeMoX: exp..:

Parra-Ullauri, Juan Marcelo ; García-Domínguez, Antonio ; Bencomo, Nelly...
Software and Systems Modeling. 21 (2021) 3 - p. 1091-1113 , 2021

Link: https://doi.org/10.1007/..

6

Towards an architecture integrating complex event processin..:

, In: Proceedings of the 36th Annual ACM Symposium on Applied Computing,

Parra-Ullauri, Juan Marcelo ; García-Domínguez, Antonio ; Boubeta-Puig, Juan.. - p. 427-435 , 2021

Link: https://dl.acm.org/doi/1..

7

Temporal Models for History-Aware Explainability:

, In: Proceedings of the 12th System Analysis and Modelling Conference,

Parra-Ullauri, Juan Marcelo ; García-Domínguez, Antonio ; García-Paucar, Luis Hernán. - p. 155-164 , 2020

Link: https://dl.acm.org/doi/1..

8

Exploring the Synergy of Fog Computing, Blockchain, and Fed..:

Solis, Wilson Valdez ; Marcelo Parra-Ullauri, Juan ; Kertesz, Attila
IEEE Access. 12 (2024) - p. 68015-68060 , 2024

Link: https://doi.org/10.1109/..

9

Federated Analytics for 6G Networks: Applications, Challeng..:

Parra-Ullauri, Juan Marcelo ; Zhang, Xunzheng ; Bravalheri, Anderson...
http://arxiv.org/abs/2401.03878. , 2024

Link: http://arxiv.org/abs/240..

10

A Framework for History-Aware Hyperparameter Optimisation i..:

Parra-Ullauri, Juan Marcelo ; Zhen, Chen ; García-Domínguez, Antonio...
http://arxiv.org/abs/2303.05186. , 2023

Link: http://arxiv.org/abs/230..

11

Event-driven temporal models for explanations-ETeMoX: expla..:

Parra-Ullauri, Juan Marcelo ; García Domínguez, Antonio ; Bencomo, Nelly...
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093608-B-C33/ES/MODELADO FORMAL Y METODOS AVANZADOS DE TESTING. APLICACIONES A MEDICINA Y SISTEMAS/. , 2022

Link: http://hdl.handle.net/10..

12

Event-driven Temporal Models for Explanations - ETeMoX: Exp..:

Parra-Ullauri, Juan Marcelo ; Garcıa-Domınguez, Antonio ; Bencomo, Nelly...
dro:35097. , 2022

Link: http://dro.dur.ac.uk/350..

13

Towards an architecture integrating complex event processin..:

Parra-Ullauri, Juan Marcelo ; García-Domínguez, Antonio ; Boubeta-Puig, Juan..
https://publications.aston.ac.uk/id/eprint/42612/1/3412841.3441923.pdf. , 2021

Link: https://publications.ast..

14

Event-driven Temporal Models for Explanations - ETeMoX: Exp..:

Parra-Ullauri, Juan Marcelo ; Garcoa-Dominguez, Antonio ; Bencomo, Nelly...
http://researchrepository.napier.ac.uk/Output/2782463. , 2021

Link: https://doi.org/10.1007/..

15

Privacy Preservation in Kubernetes-based Federated Learning..:

Parra Ullauri, Juan Marcelo ; Gonzalez, Luis F ; Bravalheri, Anderson C...
Parra Ullauri , J M , Gonzalez , L F , Bravalheri , A C , Hussain , R , Vasilakos , X , Vidal , I , Valera , F , Nejabati , R & Simeonidou , D 2023 , ' Privacy Preservation in Kubernetes-based Federated Learning : A Networking Approach ' , Paper presented at IEEE International Conference on Computer Communications-Workshops , 17/05/23 - 20/05/23 .. , 2023

Link: https://hdl.handle.net/1..