ALEJANDRO MATE MORGA-rekin lankidetzan egindako argitalpenak (71)

2025

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

    IJCAI International Joint Conference on Artificial Intelligence

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

    Proceedings of Machine Learning Research

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. 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

  7. 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

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

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

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)

  7. Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients

    Scientific reports, Vol. 12, Núm. 1, pp. 5723