Enrique Tomás Martínez Beltrán

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 24

Top Topics

Learning Models

Multimodal Interaction

Machine Learning Models

Top Venues

Expert Syst. Appl.

Publications

Chao Feng, Alberto Huertas Celdrán, Jan von der Assen, Enrique Tomás Martínez Beltrán, Gérôme Bovet, Burkhard Stiller
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis. CoRR (2024)
Sergio López Bernal, Juan Antonio Martínez López, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
NeuronLab: BCI framework for the study of biosignals. Neurocomputing 598 (2024)
Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Sergio López Bernal, Eduardo Horna Prat, Luis Montesano Del Campo, Lorenzo Fernández Maimó, Alberto Huertas Celdrán
Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges. Inf. Fusion 105 (2024)
Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Pedro Guijas Bravo, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861]. Expert Syst. Appl. 251 (2024)
José Manuel Hidalgo Rogel, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Sergio López Bernal, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography. Cogn. Comput. 16 (3) (2024)
Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Fedstellar: A Platform for Decentralized Federated Learning. Expert Syst. Appl. 242 (2024)
Ángel Luis Perales Gómez, Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán
TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning. CoRR (2023)
Sergio López Bernal, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, María del Carmen Martín Curto, Yantsislav Yanakiev, Manuel Gil Pérez, Gregorio Martínez Pérez
Opportunities for standardization in emergency scenarios in the European Union. Int. J. Medical Informatics 179 (2023)
Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Alberto Huertas Celdrán, Robin Wassink, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller
Stealth Spectrum Sensing Data Falsification Attacks Affecting IoT Spectrum Monitors on the Battlefield. MILCOM (2023)
Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Mitigating Communications Threats in Decentralized Federated Learning through Moving Target Defense. CoRR (2023)
Enrique Tomás Martínez Beltrán, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion. IJCAI (2023)
Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Sergio López Bernal, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Analyzing the impact of Driving tasks when detecting emotions through brain-computer interfaces. Neural Comput. Appl. 35 (12) (2023)
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges. IEEE Commun. Surv. Tutorials 25 (4) (2023)
Chao Feng, Alberto Huertas Celdrán, Janosch Baltensperger, Enrique Tomás Martínez Beltrán, Gérôme Bovet, Burkhard Stiller
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning. CoRR (2023)
Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Fedstellar: A Platform for Decentralized Federated Learning. CoRR (2023)
Sergio López Bernal, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Gregorio Martínez Pérez, Alberto Huertas Celdrán
When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns. CoRR (2022)
José Manuel Hidalgo Rogel, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Sergio López Bernal, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography. CoRR (2022)
Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Enrique Tomás Martínez Beltrán, Daniel Demeter, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario. CoRR (2022)
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez
Noise-based cyberattacks generating fake P300 waves in brain-computer interfaces. Clust. Comput. 25 (1) (2022)
Sergio López Bernal, Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Rubén Ortega Romero, Alberto Huertas Celdrán, Gregorio Martínez Pérez
Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography. ISMICT (2022)
Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez
Analyzing the impact of Driving tasks when detecting emotions through Brain-Computer Interfaces. CoRR (2022)
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, Sergio López Bernal, Gérôme Bovet, Manuel Gil Pérez, Gregorio Martínez Pérez, Alberto Huertas Celdrán
Decentralized Federated Learning: Fundamentals, State-of-the-art, Frameworks, Trends, and Challenges. CoRR (2022)
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Sergio López Bernal, Gregorio Martínez Pérez, Alberto Huertas Celdrán
SAFECAR: A Brain-Computer Interface and intelligent framework to detect drivers' distractions. Expert Syst. Appl. 203 (2022)
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Javier Pastor-Galindo, Pantaleone Nespoli, Félix Jesús García Clemente, Félix Gómez Mármol
COnVIDa: COVID-19 multidisciplinary data collection and dashboard. J. Biomed. Informatics 117 (2021)