On Deadlock Frequency during Dynamic Reconfiguration in NOWs. - Lorenzo Fernández Maimó; José M. García 001; Rafael Casado (Euro-Par, 2001)

Congestion Control for High Performance Virtual Cut-through Networks. - Lorenzo Fernández Maimó; José M. García 001 (Applied Informatics, 2003)

Practical Planar Metric Rectification. - Alberto Ruiz; Pedro E. López-de-Teruel; Lorenzo Fernández Maimó (BMVC, 2006)

Robust Homography Estimation from Planar Contours Based on Convexity. - Alberto Ruiz; Pedro E. López-de-Teruel; Lorenzo Fernández Maimó (ECCV (1), 2006)

Efficient Monocular 3D Reconstruction from Segments for Visual Navigation in Structured Environments. - Pedro E. López-de-Teruel; Alberto Ruiz; Lorenzo Fernández Maimó (ICPR (1), 2006)

GeoBot: A High Level Visual Perception Architecture for Autonomous Robots. - Pedro E. López-de-Teruel; Alberto Ruiz; Lorenzo Fernández Maimó (ICVS, 2006)

Estimating 3D facial pose in video with just three points. - Ginés García-Mateos; Alberto Ruiz; Pedro E. López-de-Teruel; Antonio L. Rodríguez; Lorenzo Fernández Maimó (CVPR Workshops, 2008)

QVision, a Development Framework for Real-time Computer Vision and Image Processing Research. - Antonio L. Rodríguez; Pedro E. López-de-Teruel; Alberto Ruiz; Ginés García-Mateos; Lorenzo Fernández Maimó (IPCV, 2008)

An Experience of Early Initiation to Parallelism in the Computing Engineering Degree at the University of Murcia, Spain. - Manuel E. Acacio; Javier Cuenca 001; Lorenzo Fernández Maimó; Ricardo Fernández-Pascual; Joaquín Cervera; Domingo Giménez; M. Carmen Garrido; Juan A. Sánchez-Laguna; José Guillén; Juan Alejandro Palomino Benito; María-Eugenia Requena (IPDPS Workshops, 2012)

On the performance of a deep learning-based anomaly detection system for 5G networks. - Lorenzo Fernández Maimó; Félix J. García Clemente; Manuel Gil Pérez; Gregorio Martínez Pérez (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Efficient planar affine canonicalization. - Alberto Ruiz; Pedro E. López-de-Teruel; Lorenzo Fernández Maimó (Pattern Recognit., 2017)

A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks. - Lorenzo Fernández Maimó; Ángel Luis Perales Gómez; Félix J. García Clemente; Manuel Gil Pérez; Gregorio Martínez Pérez (IEEE Access, 2018)

Improving the Security and QoE in Mobile Devices through an Intelligent and Adaptive Continuous Authentication System. - José María Jorquera Valero; Pedro Miguel Sánchez Sánchez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Marcos Arjona Fernández; Sergio De Los Santos Vílchez; Gregorio Martínez Pérez (Sensors, 2018)

Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System. - Pedro Miguel Sánchez Sánchez; Alberto Huertas Celdrán; Lorenzo Fernández Maimó; Gregorio Martínez Pérez; Guojun Wang 001 (iSCI, 2019)

On the Generation of Anomaly Detection Datasets in Industrial Control Systems. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Félix J. García Clemente; Cristian Cadenas Sarmiento; Carlos Javier Del Canto Masa; Rubén Méndez Nistal (IEEE Access, 2019)

Dynamic management of a deep learning-based anomaly detection system for 5G networks. - Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Manuel Gil Pérez; Félix J. García Clemente; Gregorio Martínez Pérez (J. Ambient Intell. Humaniz. Comput., 2019)

Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments. - Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Ángel Luis Perales Gómez; Félix J. García Clemente; James Weimer; Insup Lee 001 (Sensors, 2019)

Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling. - Sergio López Bernal; Alberto Huertas Celdrán; Lorenzo Fernández Maimó; Michael Taynnan Barros; Sasitharan Balasubramaniam; Gregorio Martínez Pérez (IEEE Access, 2020)

MADICS: A Methodology for Anomaly Detection in Industrial Control Systems. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Félix J. García Clemente (Symmetry, 2020)

Authcode - Dataset. - Pedro Miguel Sánchez Sánchez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Gregorio Martínez Pérez (IEEE DataPort, 2020)

BEHACOM. - Pedro Miguel Sánchez Sánchez; José María Jorquera Valero; Mattia Zago; Alberto Huertas Celdrán; Lorenzo Fernández Maimó; Eduardo López Bernal; Sergio López Bernal; Javier Martínez Valverde; Pantaleone Nespoli; Javier Pastor-Galindo; Ángel Luis Perales Gómez; Manuel Gil Pérez; et al. (IEEE DataPort, 2020)

Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Félix J. García Clemente; Frances Cleary (ANT/EDI40, 2021)

AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning. - Pedro Miguel Sánchez Sánchez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Gregorio Martínez Pérez (Comput. Secur., 2021)

SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Félix J. García Clemente; Manuel Gil Pérez; Gregorio Martínez Pérez (Softw. Pract. Exp., 2021)

A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Félix J. García Clemente; Javier Alejandro Maroto Morales; Alberto Huertas Celdrán; Gérôme Bovet (IEEE Access, 2022)

SUSAN: A Deep Learning based anomaly detection framework for sustainable industry. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Félix J. García Clemente (Sustain. Comput. Informatics Syst., 2023)

An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Félix J. García Clemente (IET Inf. Secur., 2023)

VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Félix J. García Clemente (J. Inf. Secur. Appl., 2023)

Advancing Threat Detection in Fog Computing: A Comprehensive Approach to Real-Time Analysis and Model Generation. - Lucía Cuadrillero Paredes; Ángel Luis Perales Gómez; Óscar Cánovas; Lorenzo Fernández Maimó; Félix J. García Clemente (FMEC, 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)

Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios. - Ángel Luis Perales Gómez; Lorenzo Fernández Maimó; Alberto Huertas Celdrán; Félix J. García Clemente (IEEE Access, 2025)

EEG channel reconstruction using convolutional neural networks in limited BCIs: A proposed method for neuromarketing applications. - Mario Quiles Pérez; Sergio López Bernal; Eduardo Horna Prat; Luis Montesano Del Campo; Lorenzo Fernández Maimó; Alberto Huertas Celdrán (Appl. Soft Comput., 2025)

ShaTS: A Shapley-based Explainability Method for Time Series Artificial Intelligence Models applied to Anomaly Detection in Industrial Internet of Things. - Manuel Franco de la Peña; Ángel Luis Perales Gómez; Lorenzo Fernández Maimó (CoRR, 2025)

Reporte de vulnerabilidades en IIoT. Proyecto DEFENDER. - Pedro Almansa Jiménez; Lorenzo Fernández Maimó; Ángel Luis Perales Gómez (CoRR, 2025)