Enrique Tomás Martínez Beltrán
Enrique Tomás Martínez Beltrán
PhD student in Computer Science, University of Murcia
Verified email at - Homepage
Cited by
Cited by
Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges
ETM Beltrán, MQ Pérez, PMS Sánchez, SL Bernal, G Bovet, MG Pérez, ...
IEEE Communications Surveys & Tutorials, 2023
Fedstellar: A platform for decentralized federated learning
ETM Beltrán, ÁLP Gómez, C Feng, PMS Sánchez, SL Bernal, G Bovet, ...
Expert Systems with Applications 242, 122861, 2024
SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions
ETM Beltrán, MQ Pérez, SL Bernal, GM Pérez, AH Celdrán
Expert Systems with Applications 203, 117402, 2022
COnVIDa: COVID-19 multidisciplinary data collection and dashboard
ETM Beltrán, MQ Pérez, J Pastor-Galindo, P Nespoli, FJG Clemente, ...
Journal of Biomedical Informatics 117, 103760, 2021
Noise-based cyberattacks generating fake P300 waves in brain–computer interfaces
ET Martínez Beltrán, M Quiles Pérez, S López Bernal, A Huertas Celdrán, ...
Cluster Computing, 1-16, 2021
Breaching Subjects’ Thoughts Privacy: A Study with Visual Stimuli and Brain‐Computer Interfaces
M Quiles Pérez, ET Martínez Beltrán, S López Bernal, A Huertas Celdrán, ...
Journal of Healthcare Engineering 2021 (1), 5517637, 2021
When brain-computer interfaces meet the metaverse: Landscape, demonstrator, trends, challenges, and concerns
SL Bernal, MQ Pérez, ETM Beltrán, GM Pérez, AH Celdrán
arXiv preprint arXiv:2212.03169, 2022
Mitigating communications threats in decentralized federated learning through moving target defense
ET Martínez Beltrán, PM Sánchez Sánchez, S López Bernal, G Bovet, ...
Wireless Networks, 1-15, 2024
Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges
MQ Pérez, ETM Beltrán, SL Bernal, EH Prat, LM Del Campo, LF Maimó, ...
Information Fusion, 102231, 2024
SecBrain: A Framework to Detect Cyberattacks Revealing Sensitive Data in Brain-Computer Interfaces
ETM Beltrán, MQ Pérez, SL Bernal, AH Celdrán, GM Pérez
Advances in Malware and Data-Driven Network Security, 176-198, 2022
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
C Feng, AH Celdran, J Baltensperger, ETM Beltran, G Bovet, B Stiller
arXiv preprint arXiv:2310.08097, 2023
TemporalFED: Detecting cyberattacks in industrial time-series data using decentralized federated learning
ÁLP Gómez, ETM Beltrán, PMS Sánchez, AH Celdrán
arXiv preprint arXiv:2308.03554, 2023
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography
JM Hidalgo Rogel, ET Martínez Beltrán, M Quiles Pérez, S López Bernal, ...
Cognitive Computation, 1-15, 2024
Opportunities for standardization in emergency scenarios in the European Union
SL Bernal, MQ Pérez, ETM Beltrán, MCM Curto, Y Yanakiev, MG Pérez, ...
International Journal of Medical Informatics 179, 105232, 2023
Fedstellar: a platform for training models in a privacy-preserving and decentralized fashion
ET Martínez Beltrán, PM Sánchez Sánchez, S López Bernal, G Bovet, ...
Proceedings of the International Joint Conference on Artificial Intelligence …, 2023
Analyzing the impact of Driving tasks when detecting emotions through brain–computer interfaces
M Quiles Pérez, ET Martínez Beltrán, S López Bernal, G Martínez Pérez, ...
Neural Computing and Applications 35 (12), 8883-8901, 2023
Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography
SL Bernal, ETM Beltrán, MQ Pérez, RO Romero, AH Celdrán, GM Pérez
2022 IEEE 16th International Symposium on Medical Information and …, 2022
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
C Feng, AH Celdrán, J von der Assen, ETM Beltrán, G Bovet, B Stiller
arXiv preprint arXiv:2407.08652, 2024
NeuronLab: BCI framework for the study of biosignals
SL Bernal, JAM López, ETM Beltrán, MQ Pérez, GM Pérez, AH Celdrán
Neurocomputing, 128027, 2024
Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario
PM Sánchez Sánchez, A Huertas Celdrán, ET Martínez Beltrán, ...
Applied Intelligence, 1-17, 2024
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