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ORCIDÁngel Luis Perales Gómez
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2020 – today
- 2025
[j16]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán
, Félix J. García Clemente:
Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios. IEEE Access 13: 2705-2722 (2025)- 2024
- [j15]Ángel Luis Perales Gómez, Juan Jesús Losada Del Olmo, Pedro E. López-de-Teruel, Alberto Ruiz, Félix J. García Clemente, Andrés Conesa Bueno:
MeloDI: An Internet of Things Architecture to Evaluate Melon Quality by Means of Machine Learning Using Sensors Data and Drone Images. IEEE Access 12: 193831-193847 (2024) - [j14]Juan Jesús Losada Del Olmo, Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz:
A few-shot learning methodology for improving safety in industrial scenarios through universal self-supervised visual features and dense optical flow. Appl. Soft Comput. 167: 112375 (2024) - [j13]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: 122861 (2024) - [j12]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: 124165 (2024) - [c3]Lucía Cuadrillero Paredes, Ángel Luis Perales Gómez, Óscar Cánovas, Lorenzo Fernández Maimó, Félix J. García Clemente:
Advancing Threat Detection in Fog Computing: A Comprehensive Approach to Real-Time Analysis and Model Generation. FMEC 2024: 162-169 - [c2]Juan Jesús Losada Del Olmo, Ángel Luis Perales Gómez, Pedro E. López-de-Teruel Alcolea, Alberto Ruiz García, Félix J. García Clemente:
Enhacing Logistics with Computer Vision and Fog Computing-Driven Auto-ID Technologies. FMEC 2024: 220-227 - 2023
- [j11]Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan von der Assen, Dennis Shushack, Ángel Luis Perales Gómez, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Behavioral fingerprinting to detect ransomware in resource-constrained devices. Comput. Secur. 135: 103510 (2023) - [j10]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente:
An interpretable semi-supervised system for detecting cyberattacks using anomaly detection in industrial scenarios. IET Inf. Secur. 17(4): 553-566 (2023) - [j9]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente:
VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios. J. Inf. Secur. Appl. 79: 103647 (2023) - [j8]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente:
SUSAN: A Deep Learning based anomaly detection framework for sustainable industry. Sustain. Comput. Informatics Syst. 37: 100842 (2023) - [i2]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 abs/2306.09750 (2023) - [i1]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 abs/2308.03554 (2023) - 2022
- [j7]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Félix J. García Clemente, Javier Alejandro Maroto Morales, Alberto Huertas Celdrán, Gérôme Bovet:
A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios. IEEE Access 10: 124582-124594 (2022) - [j6]Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz, Ginés García-Mateos, Gregorio Bernabé García, Félix J. García Clemente:
FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming. Clust. Comput. 25(3): 2163-2178 (2022) - 2021
- [j5]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, Manuel Gil Pérez, Gregorio Martínez Pérez:
SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry. Softw. Pract. Exp. 51(3): 607-627 (2021) - [c1]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente, Frances Cleary:
Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems. ANT/EDI40 2021: 573-580 - 2020
- [j4]Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente:
MADICS: A Methodology for Anomaly Detection in Industrial Control Systems. Symmetry 12(10): 1583 (2020) - [d1]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, Gregorio Martínez Pérez:
BEHACOM. IEEE DataPort, 2020
2010 – 2019
- 2019
- [j3]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:
On the Generation of Anomaly Detection Datasets in Industrial Control Systems. IEEE Access 7: 177460-177473 (2019) - [j2]Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Ángel Luis Perales Gómez, Félix J. García Clemente, James Weimer, Insup Lee:
Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments. Sensors 19(5): 1114 (2019) - 2018
- [j1]Lorenzo Fernández Maimó, Ángel Luis Perales Gómez, Félix J. García Clemente, Manuel Gil Pérez, Gregorio Martínez Pérez:
A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks. IEEE Access 6: 7700-7712 (2018)
Coauthor Index
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last updated on 2025-01-27 00:43 CET by the dblp team
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