Publicacions (27) Publicacions de David Escudero García

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. Predicción conforme para enriquecer los modelos dinámicos de clasificación de aplicaciones maliciosas en escenarios de deriva conceptual

    IX Jornadas Nacionales de Investigación En Ciberseguridad

  3. 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. Aplicación de aprendizaje transferido a la asignacion de maliciosidad de IPs

    Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023

  3. 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)

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

    Computational and Mathematical Methods, Vol. 2023

2022

  1. A review of: Optimal Feature Configuration forDynamic Malware Detection

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 277-278

  2. Extracción de variables para caracterización multi-clase de la severidad de IPs

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 14-21

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. An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm

    Applied Soft Computing Journal, Vol. 78, pp. 13-28

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

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

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

    Complexity, Vol. 2019

2018

  1. Effect of Applying Organic Amendments on the Pyrolytic Behavior of a Poplar Energy Crop

    Waste and Biomass Valorization, Vol. 9, Núm. 8, pp. 1435-1449

2016

  1. Effect of waste organic amendments on Populus sp biomass production and thermal characteristics

    Renewable Energy, Vol. 94, pp. 166-174

  2. On the use of an incremental approach to learn fuzzy classification rules for big data problems

    2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

  3. Ordinal classification based on the sequential covering strategy

    International Journal of Approximate Reasoning, Vol. 76, pp. 96-110

2015

  1. An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach

    International Journal of Approximate Reasoning, Vol. 67, pp. 37-58

  2. Using a sequential covering strategy for discovering fuzzy rules incrementally

    IEEE International Conference on Fuzzy Systems