COnVIDa: COVID-19 multidisciplinary data collection and dashboard. - Enrique Tomás Martínez Beltrán; Mario Quiles Pérez; Javier Pastor-Galindo; Pantaleone Nespoli; Félix Jesús García Clemente; Félix Gómez Mármol (J. Biomed. Informatics, 2021)

Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography. - Sergio López Bernal; Enrique Tomás Martínez Beltrán; Mario Quiles Pérez; Rubén Ortega Romero; Alberto Huertas Celdrán; Gregorio Martínez Pérez (ISMICT, 2022)

Noise-based cyberattacks generating fake P300 waves in brain-computer interfaces. - Enrique Tomás Martínez Beltrán; Mario Quiles Pérez; Sergio López Bernal; Alberto Huertas Celdrán; Gregorio Martínez Pérez (Clust. Comput., 2022)

Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario. - Pedro Miguel Sánchez Sánchez; Alberto Huertas Celdrán; Enrique Tomás Martínez Beltrán; Daniel Demeter; Gérôme Bovet; Gregorio Martínez Pérez; Burkhard Stiller (CoRR, 2022)

SAFECAR: A Brain-Computer Interface and intelligent framework to detect drivers' distractions. - Enrique Tomás Martínez Beltrán; Mario Quiles Pérez; Sergio López Bernal; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Expert Syst. Appl., 2022)

Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion. - Enrique Tomás Martínez Beltrán; Pedro Miguel Sánchez Sánchez; Sergio López Bernal; Gérôme Bovet; Manuel Gil Pérez; Gregorio Martínez Pérez; Alberto Huertas Celdrán (IJCAI, 2023)

Stealth Spectrum Sensing Data Falsification Attacks Affecting IoT Spectrum Monitors on the Battlefield. - Pedro Miguel Sánchez Sánchez; Enrique Tomás Martínez Beltrán; Alberto Huertas Celdrán; Robin Wassink; Gérôme Bovet; Gregorio Martínez Pérez; Burkhard Stiller (MILCOM, 2023)

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges. - 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 (IEEE Commun. Surv. Tutorials, 2023)

TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning. - Ángel Luis Perales Gómez; Enrique Tomás Martínez Beltrán; Pedro Miguel Sánchez Sánchez; Alberto Huertas Celdrán (CoRR, 2023)

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning. - Chao Feng 001; Alberto Huertas Celdrán; Janosch Baltensperger; Enrique Tomás Martínez Beltrán; Gérôme Bovet; Burkhard Stiller (CoRR, 2023)

Analyzing the impact of Driving tasks when detecting emotions through brain-computer interfaces. - Mario Quiles Pérez; Enrique Tomás Martínez Beltrán; Sergio López Bernal; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Neural Comput. Appl., 2023)

Opportunities for standardization in emergency scenarios in the European Union. - Sergio López Bernal; Mario Quiles Pérez; Enrique Tomás Martínez Beltrán; María del Carmen Martín Curto; Yantsislav Yanakiev; Manuel Gil Pérez; Gregorio Martínez Pérez (Int. J. Medical Informatics, 2023)

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning. - Chao Feng 001; Alberto Huertas Celdrán; Janosch Baltensperger; Enrique Tomás Martínez Beltrán; Pedro Miguel Sánchez Sánchez; Gérôme Bovet; Burkhard Stiller (ECAI, 2024)

DART: A Solution for decentralized federated learning model robustness analysis. - Chao Feng 001; Alberto Huertas Celdrán; Jan von der Assen; Enrique Tomás Martínez Beltrán; Gérôme Bovet; Burkhard Stiller (Array, 2024)

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes. - Pedro Miguel Sánchez Sánchez; Enrique Tomás Martínez Beltrán; Miguel Fernández Llamas; Gérôme Bovet; Gregorio Martínez Pérez; Alberto Huertas Celdrán (CoRR, 2024)

Corrigendum to "Fedstellar: A platform for decentralized federated learning" [Expert Syst. Appl. 242 (2024) 122861]. - Enrique Tomás Martínez Beltrán; Ángel Luis Perales Gómez; Chao Feng 001; Pedro Miguel Sánchez Sánchez; Pedro Guijas Bravo; Sergio López Bernal; Gérôme Bovet; Manuel Gil Pérez; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Expert Syst. Appl., 2024)

Fedstellar: A Platform for Decentralized Federated Learning. - Enrique Tomás Martínez Beltrán; Ángel Luis Perales Gómez; Chao Feng 001; Pedro Miguel Sánchez Sánchez; Sergio López Bernal; Gérôme Bovet; Manuel Gil Pérez; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Expert Syst. Appl., 2024)

NeuronLab: BCI framework for the study of biosignals. - Sergio López Bernal; Juan Antonio Martínez López; Enrique Tomás Martínez Beltrán; Mario Quiles Pérez; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Neurocomputing, 2024)

Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography. - José Manuel Hidalgo Rogel; Enrique Tomás Martínez Beltrán; Mario Quiles Pérez; Sergio López Bernal; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Cogn. Comput., 2024)

Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges. - Mario Quiles Pérez; Enrique Tomás Martínez Beltrán; Sergio López Bernal; Eduardo Horna Prat; Luis Montesano Del Campo; Lorenzo Fernández Maimó; Alberto Huertas Celdrán (Inf. Fusion, 2024)

Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving. - Sergio López Bernal; José Manuel Hidalgo Rogel; Enrique Tomás Martínez Beltrán; Mario Quiles Pérez; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Neural Comput. Appl., 2024)

Mitigating communications threats in decentralized federated learning through moving target defense. - Enrique Tomás Martínez Beltrán; Pedro Miguel Sánchez Sánchez; Sergio López Bernal; Gérôme Bovet; Manuel Gil Pérez; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Wirel. Networks, 2024)

When Brain-Computer Interfaces meet the metaverse: Landscape, demonstrator, trends, challenges, and concerns. - Sergio López Bernal; Mario Quiles Pérez; Enrique Tomás Martínez Beltrán; Gregorio Martínez Pérez; Alberto Huertas Celdrán (Neurocomputing, 2025)

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning. - Pedro Miguel Sánchez Sánchez; Enrique Tomás Martínez Beltrán; Chao Feng 001; Gérôme Bovet; Gregorio Martínez Pérez; Alberto Huertas Celdrán (CoRR, 2025)

RepuNet: A Reputation System for Mitigating Malicious Clients in DFL. - Isaac Marroqui Penalva; Enrique Tomás Martínez Beltrán; Manuel Gil Pérez; Alberto Huertas Celdrán (CoRR, 2025)