JUAN CARLOS
TRUJILLO MONDEJAR
CATEDRATICO/A DE UNIVERSIDAD
Publications (301) JUAN CARLOS TRUJILLO MONDEJAR publications
2025
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Study of gender perspective in STEM degrees and its relationship with video games
Entertainment Computing, Vol. 52
2024
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A novel approach to identify the brain regions that best classify ADHD by means of EEG and deep learning
Heliyon, Vol. 10, Núm. 4
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An extension of iStar for Machine Learning requirements by following the PRISE methodology
Computer Standards and Interfaces, Vol. 88
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An ontology-based secure design framework for graph-based databases
Computer Standards and Interfaces, Vol. 88
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Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability
IJCAI International Joint Conference on Artificial Intelligence
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Evaluating CNN Methods for Epileptic Seizure Type Classification Using EEG Data
IEEE Access, Vol. 12, pp. 75483-75495
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How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability
Proceedings of Machine Learning Research
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Measuring attention of ADHD patients by means of a computer game featuring biometrical data gathering
Heliyon, Vol. 10, Núm. 5
2023
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A Data Analytics Methodology to Visually Analyze the Impact of Bias and Rebalancing
IEEE Access, Vol. 11, pp. 56691-56702
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A Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline
Lecture Notes in Business Information Processing
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A modeling approach for designing explainable Artificial Intelligence
CEUR Workshop Proceedings
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A smart data holistic approach for context-aware data analytics (AETHER-UA)
CEUR Workshop Proceedings
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AIRE 2023: 10th International Workshop on Artificial Intelligence and Requirements Engineering
Proceedings - 31st IEEE International Requirements Engineering Conference Workshops, REW 2023
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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)
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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
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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
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Feature engineering of EEG applied to mental disorders: a systematic mapping study
Applied Intelligence, Vol. 53, Núm. 20, pp. 23203-23243
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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
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A Methodology based on Rebalancing Techniques to measure and improve Fairness in Artificial Intelligence algorithms
CEUR Workshop Proceedings
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Beyond TPC-DS, a benchmark for Big Data OLAP systems (BDOLAP-Bench)
Future Generation Computer Systems, Vol. 132, pp. 136-151