Publications by the researcher in collaboration with JUAN CARLOS TRUJILLO MONDEJAR (83)

2026

  1. An integrated requirements framework for analytical and AI projects

    Data and Knowledge Engineering, Vol. 161

2025

  1. A methodology for the systematic design of storytelling dashboards applied to Industry 4.0

    Data and Knowledge Engineering, Vol. 156

  2. Enabling the Application of Graph Neural Networks on Graphs With Unknown Connectivity

    Expert Systems, Vol. 42, Núm. 8

  3. Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference

    Proceedings of the AAAI Conference on Artificial Intelligence

  4. Study of gender perspective in STEM degrees and its relationship with video games

    Entertainment Computing, Vol. 52

2024

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

    Computer Standards and Interfaces, Vol. 88

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

    Computer Standards and Interfaces, Vol. 88

  3. Data Analytics from a Social Perspective

    Social Modeling Using the i* Framework, pp. 149-162

  4. Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability

    IJCAI International Joint Conference on Artificial Intelligence

  5. How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability

    Proceedings of Machine Learning Research

  6. Refining ADHD diagnosis with EEG: The impact of preprocessing and temporal segmentation on classification accuracy

    Computers in Biology and Medicine, Vol. 183

  7. Requirements Modeling and Elicitation for Explainable Artificial Intelligence Based on i

    CEUR Workshop Proceedings

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. 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)

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

    Actas de las XXVII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2023)

  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. Diagnosis and prognosis of mental disorders by means of EEG and deep learning:: A Systematic mapping study

    Actas de las XXVII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2023)