Publicaciones (28) Publicaciones de Francisco Jáñez Martino

2024

  1. A review of Spotting Child Sexual Exploitation Material using File Names and their Path

    IX Jornadas Nacionales de Investigación En Ciberseguridad

  2. Analysis and classification of spam email using Artificial Intelligence to identify cyberthreats

    Procesamiento del lenguaje natural, Núm. 72, pp. 155-158

  3. Classifying the content of online notepad services using active learning

    Journal of Intelligent Information Systems

  4. Spam hierarchical clustering for campaigns spotting and topic-based classification

    IX Jornadas Nacionales de Investigación En Ciberseguridad

2023

  1. A review of spam email detection: analysis of spammer strategies and the dataset shift problem

    Artificial Intelligence Review, Vol. 56, Núm. 2, pp. 1145-1173

  2. A survey on spam detection, spammer strategies and the dataset shift problem

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

  3. Applying Machine Learning to login URLs for phishing detection

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

  4. Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach

    Applied Soft Computing, Vol. 139

  5. Malware detection in spam emails using natural language processing

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

  6. Novel benchmark dataset and features to detect phishing on web pages

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

  7. UniLeon-UniBO at IberLEF 2023 Task DIPROMATS: RoBERTa-based Models to Climb Up the Propaganda Tree in English and Spanish

    CEUR Workshop Proceedings

2022

  1. Classifying suspicious Pastebin content usingMachine Learning

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 279-280

  2. Detecting malware using text documents extracted from spam email through machine learning

    DocEng 2022 - Proceedings of the 2022 ACM Symposium on Document Engineering

  3. Extracting Composition and Social EngineeringFeatures to Measure Spam Address Credibility

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 261-262

2021

  1. Classifying Screenshots of Industrial Control System Using Transfer Learning and Fine-Tuning

    Investigación en Ciberseguridad, pp. 151-152

  2. Detecting vulnerabilities in critical infrastructures by classifying exposed industrial control systems using deep learning

    Applied Sciences (Switzerland), Vol. 11, Núm. 1, pp. 1-14

  3. Fraudulent E-Commerce Websites Detection Through Machine Learning

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

  4. Fraudulent E-Commerce Websites Detection Through Machine Learning

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

  5. Reinforcement of age estimation in forensic tools to detect Child Sexual Exploitation Material

    Investigación en Ciberseguridad (Universidad de Castilla la Mancha, Servicio de Publicaciones)

  6. Trustworthiness of spam email addresses using machine learning

    DocEng 2021 - Proceedings of the 2021 ACM Symposium on Document Engineering