Publicaciones (297) Publicaciones de JUAN CARLOS TRUJILLO MONDEJAR

2024

  1. A novel approach to identify the brain regions that best classify ADHD by means of EEG and deep learning

    Heliyon, Vol. 10, Núm. 4

  2. An extension of iStar for Machine Learning requirements by following the PRISE methodology

    Computer Standards and Interfaces, Vol. 88

  3. An ontology-based secure design framework for graph-based databases

    Computer Standards and Interfaces, Vol. 88

  4. Measuring attention of ADHD patients by means of a computer game featuring biometrical data gathering

    Heliyon, Vol. 10, Núm. 5

2023

  1. A Data Analytics Methodology to Visually Analyze the Impact of Bias and Rebalancing

    IEEE Access, Vol. 11, pp. 56691-56702

  2. A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline

    Lecture Notes in Business Information Processing

  3. A modeling approach for designing explainable Artificial Intelligence

    CEUR Workshop Proceedings

  4. A smart data holistic approach for context-aware data analytics (AETHER-UA)

    CEUR Workshop Proceedings

  5. AIRE 2023: 10th International Workshop on Artificial Intelligence and Requirements Engineering

    Proceedings - 31st IEEE International Requirements Engineering Conference Workshops, REW 2023

  6. An Approach Aligned with Model Driven Development to Evaluate the Quality of Explainable Artificial Intelligence

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

  7. Developing an interpretable machine learning model for predicting COVID-19 patients deteriorating prior to intensive care unit admission using laboratory markers

    Heliyon, Vol. 9, Núm. 12

  8. Estudio de perspectiva de género en carreras técnicas

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 8, pp. 189-196

  9. Feature engineering of EEG applied to mental disorders: a systematic mapping study

    Applied Intelligence, Vol. 53, Núm. 20, pp. 23203-23243

  10. Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHD

    Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023

2022

  1. A Methodology based on Rebalancing Techniques to measure and improve Fairness in Artificial Intelligence algorithms

    CEUR Workshop Proceedings

  2. Beyond TPC-DS, a benchmark for Big Data OLAP systems (BDOLAP-Bench)

    Future Generation Computer Systems, Vol. 132, pp. 136-151

  3. Diagnosis and prognosis of mental disorders by means of EEG and deep learning: a systematic mapping study

    Artificial Intelligence Review, Vol. 55, Núm. 2, pp. 1209-1251

  4. Diseño e implementación de Asistentes Virtuales como Tutores en el Aprendizaje Basado en Proyectos: A Framework for Approaching Chatbots in Projects-based Learning

    Memorias del Programa de Redes de investigación en docencia universitaria: Convocatoria 2021-22 (Instituto de Ciencias de la Educación), pp. 1827-1828

  5. Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines

    International Journal of Machine Learning and Cybernetics, Vol. 13, Núm. 10, pp. 3113-3129

  6. Law Modeling for Fairness Requirements Elicitation in Artificial Intelligence Systems

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