Explora las publicaciones científicas de Minerva, el grupo de investigación en inteligencia artificial, aprendizaje automático y minería de datos de la Universidad de Sevilla.
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Consultar publicaciones por investigador
- Ana Rodríguez López
- Beatriz Pontes Balanza
- Belén Vega Márquez
- Cristina Rubio Escudero
- Daniel Mateos García
- David Gutiérrez Avilés
- Francisco Javier Galán Sales
- Isabel de los Ángeles Nepomuceno Chamorro
- José Cristóbal Riquelme Santos
- José Enrique Sánchez López
- José María Luna Romera
- Juan Antonio Nepomuceno Chamorro
- Manuel Carranza García
- Manuel Jesús Jiménez Navarro
- María del Mar Martínez Ballesteros
- Pablo Reina Jiménez
Catálogo contrastado con PRISMA, el portal de investigación de la Universidad de Sevilla, el 8 de octubre de 2026.
2026
Aplicación de un Ciclo de Mejora en el Aula (CIMA) en Ingeniería Informática: Intérpretes y Compiladores Book Section
En: Ciclos de mejora en el aula. Curso 2025-26, pp. 615–627, 2026.
Interpretable Multilevel Analysis of Wind Turbine Operation Data via a Recursive Unsupervised and LLM-Assisted Framework Proceedings Article
En: Communications in Computer and Information Science, pp. 171–182, 2026.
LLM-Assisted Grading of Fundamental Python Programming Exercises via In-Context Learning Proceedings Article
En: Communications in Computer and Information Science, pp. 689–700, 2026.
MuDeNet: A multi-patch descriptor network for anomaly modeling Artículo de revista
En: INFORMATION FUSION, vol. 132, pp. 104214–104214, 2026.
NVS-HO: A Benchmark for Novel View Synthesis of Handheld Objects Proceedings Article
En: Lecture Notes in Computer Science, pp. 560–574, 2026.
A Practical Implementation of Quantum LSTM Using Qiskit and PyTorch Proceedings Article
En: Communications in Computer and Information Science, pp. 347–356, 2026.
Explainable Graph Neural Networks for Omics-Based Cancer Classification Book Section
En: Communications in Computer and Information Science, vol. 2806 CCIS, pp. 227–236, 2026.
Gate Value Quantification for Efficient Quantum Machine Learning Circuits Proceedings Article
En: Communications in Computer and Information Science, pp. 429–438, 2026.
Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits Artículo de revista
En: CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, vol. 148, no 1, 2026.
Triclustering-Based Analysis of Circadian Gene Expression Patterns Book Section
En: Lecture Notes in Computer Science, vol. 16148 LNBI, pp. 540–554, 2026.
Automated Classification of Ischemic Stroke Subtypes from Electronic Health Records Using Large Language Models Proceedings Article
En: Lecture Notes in Computer Science, pp. 268–281, 2026.
Towards an Explainability Agent: Leveraging LLMs to Interpret LIME Outputs Proceedings Article
En: Lecture Notes in Computer Science, pp. 17–28, 2026.
A novel interpretable ozone forecasting approach based on deep learning with masked residual connections Artículo de revista
En: ENVIRONMENTAL MODELLING & SOFTWARE, vol. 198, pp. 106878 -, 2026.
An Explainable Framework for Football Match Outcome Analysis Using Event-Based Data Book Section
En: Communications in Computer and Information Science, vol. 3046 CCIS, pp. 183–195, 2026.
En: Communications in Computer and Information Science, vol. 3046 CCIS, pp. 298–309, 2026.
Explainable Analysis of Fake Instagram Account Detection Using Graph and Behavioral Features Book Section
En: Communications in Computer and Information Science, vol. 3046 CCIS, pp. 323–334, 2026.
Exploring Zero-Shot Learning for Time Series Forecasting Using Large Language Models Book Section
En: Communications in Computer and Information Science, vol. 2806 CCIS, pp. 217–226, 2026.
Optimizing power and performance in time series forecasting: A feature selection approach for green computing Artículo de revista
En: Sustainable Computing: Informatics and Systems, vol. 50, 2026.
Counterfactual Simulation for Estimating Performance Loss in PV Systems: A Machine Learning Approach Proceedings Article
En: Communications in Computer and Information Science, pp. 171–181, 2026.
Application of Machine Learning Techniques to the Prediction of Hospital Mortality: Beyond Conventional Clinical Models Proceedings Article
En: Lecture Notes in Computer Science, pp. 111–125, 2026.