‪Jorge Casajús-Setién‬ - ‪Google Scholar‬

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Co-authors

Pedro LarrañagaProfessor of Artificial Intelligence - Universidad Politécnica de MadridVerified email at fi.upm.es
Concha BielzaProfessor of Statistics and Operations Research, Technical University of MadridVerified email at fi.upm.es

Jorge Casajús-Setién

Jorge Casajús-Setién

Investigador de IA aplicada a sistemas de control industrial

Verified email at alumnos.upm.es

Machine Learning Redes Bayesianas Redes Neuronales Modelos Generativos Detección de Anomalías


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Anomaly-based intrusion detection in iiot networks using transformer models J Casajús-Setién, C Bielza, P Larrañaga 2023 IEEE International Conference on Cyber Security and Resilience (CSR), 72-77, 2023	3	2023
Evolutive adversarially-trained Bayesian network autoencoder for interpretable anomaly detection J Casajús-Setién, C Bielza, P Larranaga International Conference on Probabilistic Graphical Models, 397-408, 2022	2	2022
Autocodificador evolutivo de red Bayesiana para detección de anomalías aplicado a ciberseguridad J Casajús Setién ETSI_Informatica, 2022	1	2022

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Articles 1–3