DAVID ESCUDERO GARCÍA-rekin lankidetzan egindako argitalpenak (10)

2025

  1. Application of Transfer Learning to Online Models in Malware Detection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2024

  1. A mathematical analysis about the geo-temporal characterization of the multi-class maliciousness of an IP address

    Wireless Networks, Vol. 30, Núm. 6, pp. 5033-5048

  2. Transfer and online learning for IP maliciousness prediction in a concept drift scenario

    Wireless Networks

2023

  1. An effectiveness analysis of transfer learning for the concept drift problem in malware detection

    Expert Systems with Applications, Vol. 212

  2. Application of Anomaly Detection Models to Malware Detection in the Presence of Concept Drift

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift

    Computational and Mathematical Methods, Vol. 2023

2021

  1. Optimal feature configuration for dynamic malware detection

    Computers and Security, Vol. 105

  2. Rhoaso: An early stop hyper-parameter optimization algorithm

    Mathematics, Vol. 9, Núm. 18

2019

  1. Aplicación de técnicas de transfer learning a problemas de ciberseguridad

    Actas de las V Jornadas Nacionales de Ciberseguridad: junio 5-7, 2019. Cáceres

  2. Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm

    Complexity, Vol. 2019