Enrique Tomás Martínez Beltrán
Orcid: 0000-0002-5169-2815
According to our database1,
Enrique Tomás Martínez Beltrán
authored at least 23 papers
between 2021 and 2025.
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Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2025
When Brain-Computer Interfaces meet the metaverse: Landscape, demonstrator, trends, challenges, and concerns.
Neurocomputing, 2025
2024
Mitigating communications threats in decentralized federated learning through moving target defense.
Wirel. Networks, November, 2024
Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving.
Neural Comput. Appl., November, 2024
Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges.
Inf. Fusion, May, 2024
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography.
Cogn. Comput., May, 2024
Expert Syst. Appl., 2024
Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861].
Expert Syst. Appl., 2024
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes.
CoRR, 2024
Array, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Int. J. Medical Informatics, November, 2023
Analyzing the impact of Driving tasks when detecting emotions through brain-computer interfaces.
Neural Comput. Appl., April, 2023
CoRR, 2023
TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning.
CoRR, 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges.
IEEE Commun. Surv. Tutorials, 2023
Stealth Spectrum Sensing Data Falsification Attacks Affecting IoT Spectrum Monitors on the Battlefield.
Proceedings of the IEEE Military Communications Conference, 2023
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
2022
SAFECAR: A Brain-Computer Interface and intelligent framework to detect drivers' distractions.
Expert Syst. Appl., 2022
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario.
CoRR, 2022
Clust. Comput., 2022
Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography.
Proceedings of the 16th IEEE International Symposium on Medical Information and Communication Technology, 2022
2021
J. Biomed. Informatics, 2021