Mario Quiles Pérez
Orcid: 0000-0002-3513-3749
According to our database1,
Mario Quiles Pérez
authored at least 12 papers
between 2021 and 2024.
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Bibliography
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
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
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges.
IEEE Commun. Surv. Tutorials, 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
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