DIEGO
GARCIA PEREZ
Profesor Ayudante Doctor LOSU
JOSE MARIA
ENGUITA GONZALEZ
Profesor Titular de Universidad
JOSE MARIA ENGUITA GONZALEZ-rekin lankidetzan egindako argitalpenak (14)
2024
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Analysis of DNA methylation patterns in cancer samples using SOM
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024
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Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024
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Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview
IEEE Access, Vol. 12, pp. 27167-27179
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Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024
2023
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Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation
IFIP Advances in Information and Communication Technology
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Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction
IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 6, pp. 3083-3092
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Principal Component Modes of Reservoir Dynamics in Reservoir Computing
IFIP Advances in Information and Communication Technology
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Visual Analytics Tools for the Study of Complex Problems in Engineering and Biomedicine
IFIP Advances in Information and Communication Technology
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Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors
Frontiers in Endocrinology, Vol. 14
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Visualizing Cell Motility Patterns from Time Lapse Videos with Interactive 2D Maps Generated with Deep Autoencoders
IFIP Advances in Information and Communication Technology
2022
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Interactive dual projections for gene expression analysis
ESANN 2022 proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave
ESANN 2022 proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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Modelado de series temporales mediante echo state networks para aplicaciones de analítica visual
Simposio CEA de Control Inteligente (17. 2022. León): Libro de actas
2021
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Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets
Bioinformatics (Oxford, England), Vol. 37, Núm. 11, pp. 1571-1580