Publicaciones en las que colabora con José Gaviria de la Puerta (15)

2024

  1. Deep learning applications on cybersecurity: A practical approach

    Neurocomputing, Vol. 563

2023

  1. Bytecode-Based Android Malware Detection Applying Convolutional Neural Networks

    Lecture Notes in Networks and Systems

  2. Let's do it right the first time: Survey on security concerns in the way to quantum software engineering

    Neurocomputing, Vol. 538

2021

  1. Content-Based Authorship Identification for Short Texts in Social Media Networks

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

  2. Content-Based Authorship Identification for Short Texts in Social Media Networks

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

  3. Detecting malicious Android applications based on the network packets generated

    Neurocomputing, Vol. 456, pp. 629-636

  4. Fight Detection in Images Using Postural Analysis

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

  5. Fight Detection in Images Using Postural Analysis

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

  6. Quality assessment methodology based on machine learning with small datasets: Industrial castings defects

    Neurocomputing, Vol. 456, pp. 622-628

2019

  1. How IoT and computer vision could improve the casting quality

    ACM International Conference Proceeding Series

  2. Network Traffic Analysis for Android Malware Detection

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

  3. Network Traffic Analysis for Android Malware Detection

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

  4. Surface Defect Modelling Using Co-occurrence Matrix and Fast Fourier Transformation

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

  5. Surface Defect Modelling Using Co-occurrence Matrix and Fast Fourier Transformation

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

  6. Territorial innovation models: to be or not to be, that’s the question

    Scientometrics, Vol. 120, Núm. 3, pp. 1163-1191