Enrique Tomás Martínez Beltrán

Orcid: 0000-0002-5169-2815

According to our database1, Enrique Tomás Martínez Beltrán authored at least 17 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges.
Inf. Fusion, May, 2024

2023
Opportunities for standardization in emergency scenarios in the European Union.
Int. J. Medical Informatics, November, 2023

Analyzing the impact of Driving tasks when detecting emotions through brain-computer interfaces.
Neural Comput. Appl., April, 2023

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning.
CoRR, 2023

TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning.
CoRR, 2023

Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense.
CoRR, 2023

Fedstellar: A Platform for 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

When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns.
CoRR, 2022

Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario.
CoRR, 2022

Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography.
CoRR, 2022

Noise-based cyberattacks generating fake P300 waves in brain-computer interfaces.
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
COnVIDa: COVID-19 multidisciplinary data collection and dashboard.
J. Biomed. Informatics, 2021


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