| A self-adaptive deep learning-based system for anomaly detection in 5G networks LF Maimó, ÁLP Gómez, FJG Clemente, MG Pérez, GM Pérez Ieee Access 6, 7700-7712, 2018 | 316 | 2018 |
| Intelligent and dynamic ransomware spread detection and mitigation in integrated clinical environments L Fernandez Maimo, A Huertas Celdran, AL Perales Gomez, ... Sensors 19 (5), 1114, 2019 | 124 | 2019 |
| On the generation of anomaly detection datasets in industrial control systems ÁLP Gómez, LF Maimó, AH Celdrán, FJG Clemente, CC Sarmiento, ... IEEE Access 7, 177460-177473, 2019 | 100 | 2019 |
| Dynamic management of a deep learning-based anomaly detection system for 5G networks L Fernández Maimó, A Huertas Celdrán, M Gil Pérez, FJ García Clemente, ... Journal of Ambient Intelligence and Humanized Computing 10, 3083-3097, 2019 | 75 | 2019 |
| Madics: A methodology for anomaly detection in industrial control systems ÁL Perales Gómez, L Fernández Maimó, A Huertas Celdrán, ... Symmetry 12 (10), 1583, 2020 | 57 | 2020 |
| On the performance of a deep learning-based anomaly detection system for 5G networks LF Maimó, FJG Clemente, MG Pérez, GM Pérez 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017 | 42 | 2017 |
| Cyberattacks on miniature brain implants to disrupt spontaneous neural signaling SL Bernal, AH Celdran, LF Maimo, MT Barros, S Balasubramaniam, ... Ieee Access 8, 152204-152222, 2020 | 31 | 2020 |
| Improving the security and QoE in mobile devices through an intelligent and adaptive continuous authentication system JM Jorquera Valero, PM Sanchez Sanchez, L Fernandez Maimo, ... Sensors 18 (11), 3769, 2018 | 31 | 2018 |
| SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry ÁL Perales Gómez, L Fernández Maimó, A Huertas Celdrán, ... Software: Practice and Experience 51 (3), 607-627, 2021 | 28 | 2021 |
| AuthCODE: A privacy-preserving and multi-device continuous authentication architecture based on machine and deep learning PMS Sánchez, LF Maimó, AH Celdrán, GM Pérez Computers & Security 103, 102168, 2021 | 25 | 2021 |
| SUSAN: A Deep Learning based anomaly detection framework for sustainable industry ÁLP Gómez, LF Maimó, AH Celdrán, FJG Clemente Sustainable Computing: Informatics and Systems 37, 100842, 2023 | 18 | 2023 |
| Crafting adversarial samples for anomaly detectors in industrial control systems ÁLP Gómez, LF Maimó, AH Celdrán, FJG Clemente, F Cleary Procedia Computer Science 184, 573-580, 2021 | 17 | 2021 |
| Robust homography estimation from planar contours based on convexity A Ruiz, PEL De Teruel, L Fernández Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 13 | 2006 |
| Securing smart offices through an intelligent and multi-device continuous authentication system PM Sánchez Sánchez, A Huertas Celdrán, L Fernández Maimó, ... International Conference on Smart City and Informatization, 73-85, 2019 | 11 | 2019 |
| Practical Planar Metric Rectification. A Ruiz, PE López-de-Teruel, LF Maimó BMVC, 579-588, 2006 | 11 | 2006 |
| Bases metodológicas de la Iniciación y Especialización deportiva L Fernández Apuntes Congreso internacional de educación Física y Deporte. Cuernavaca. México, 2005 | 11 | 2005 |
| Estimating 3D facial pose in video with just three points G Garcia-Mateos, A Ruiz, PE Lopez-de-Teruel, AL Rodriguez, ... 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008 | 9 | 2008 |
| BEHACOM-a dataset modelling users’ behaviour in computers PMS Sánchez, JMJ Valero, M Zago, AH Celdrán, LF Maimó, EL Bernal, ... Data in Brief 31, 105767, 2020 | 7 | 2020 |
| LP, Clemente FJG, Pérez MG, Pérez GM LF Maimó, Á Gómez A self-adaptive deep learning-based system for anomaly detection in 5G …, 2018 | 7 | 2018 |
| A methodology for evaluating the robustness of anomaly detectors to adversarial attacks in industrial scenarios ÁLP Gómez, LF Maimó, FJG Clemente, JAM Morales, AH Celdrán, ... Ieee Access 10, 124582-124594, 2022 | 6 | 2022 |
Alberto Huertas CeldranUniversity of ZurichVerified email at ifi.uzh.ch
