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Mario Quiles Perez
Mario Quiles Perez
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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
3032023
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
242021
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
212022
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
152021
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
132021
When brain-computer interfaces meet the metaverse: Landscape, demonstrator, trends, challenges, and concerns
SL Bernal, MQ Pérez, ETM Beltrán, GM Pérez, AH Celdrán
Neurocomputing, 129537, 2025
112025
& Celdrán, AH (2023). 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, 0
8
Data Fusion In Neuromarketing: Multimodal Analysis of Biosignals, Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges
M Quiles Pérez, ET Martínez Beltrán, S López Bernal, E Horna Prat, ...
Lifecycle Stages, Current Advances, Datasets, Trends, and Challenges, 2023
72023
Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography
JMH Rogel, ETM Beltrán, MQ Pérez, SL Bernal, GM Pérez, AH Celdrán
arXiv preprint arXiv:2209.04048, 2022
62022
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
62022
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 16 (3), 1253-1267, 2024
42024
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
42023
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
32024
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
32023
NeuronLab:: BCI framework for the study of biosignals
S López Bernal, JA Martínez López, ET Martínez Beltrán, M Quiles Pérez, ...
12024
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
12022
Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving
S López Bernal, JM Hidalgo Rogel, ET Martínez Beltrán, M Quiles Pérez, ...
Neural Computing and Applications 36 (32), 20425-20437, 2024
2024
NeuronLab: BCI framework for the study of biosignals
SL Bernal, JAM López, ETM Beltrán, MQ Pérez, GM Pérez, AH Celdrán
Neurocomputing, 128027, 2024
2024
When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns
S López Bernal, M Quiles Pérez, E Tomás Martínez Beltrán, ...
arXiv e-prints, arXiv: 2212.03169, 2022
2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
E Tomás Martínez Beltrán, M Quiles Pérez, PM Sánchez Sánchez, ...
arXiv e-prints, arXiv: 2211.08413, 2022
2022
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