Vicente
Moret Bonillo
Catedrático de Universidade
Elena María
Hernández Pereira
Profesora Titular de Universidade
Publications by the researcher in collaboration with Elena María Hernández Pereira (22)
2024
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Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach
Neural Computing and Applications, Vol. 36, Núm. 5, pp. 2597-2616
2023
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Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer
Proceedings of the International Joint Conference on Neural Networks
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Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment
VI Congreso XoveTIC: impulsando el talento científico
2018
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On The Automation of Medical Knowledge and Medical Decision Support Systems
Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 187-217
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Sleep staging with deep learning: A convolutional model
ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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Una red convolucional para la clasificación de las fases de sueño
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
2017
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A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings
Computers in Biology and Medicine, Vol. 87, pp. 77-86
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Combining machine learning models for the automatic detection of EEG arousals
Neurocomputing, Vol. 268, pp. 100-108
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Outlining a simple and robust method for the automatic detection of EEG arousals
ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
2016
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A comparison of performance of K-complex classification methods using feature selection
Information Sciences, Vol. 328, pp. 1-14
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A comparison of performance of sleep spindle classification methods using wavelets
Smart Innovation, Systems and Technologies
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Automatic detection of EEG Arousals
ESANN 2016 - 24th European Symposium on Artificial Neural Networks
2015
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Automatic classification of respiratory patterns involving missing data imputation techniques
Biosystems Engineering, Vol. 138, pp. 65-76
2014
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Improving detection of apneic events by learning from examples and treatment of missing data
Studies in Health Technology and Informatics
2013
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A method for the automatic analysis of the sleep macrostructure in continuum
Expert Systems with Applications, Vol. 40, Núm. 5, pp. 1796-1803
2012
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On the continuous evaluation of the macrostructure of sleep
Frontiers in Artificial Intelligence and Applications, Vol. 243, pp. 189-198
2007
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An amplitude signal based technique for hypopneas detection
Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2007
2004
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Intelligent diagnosis of sleep apnea syndrome
IEEE Engineering in Medicine and Biology Magazine, Vol. 23, Núm. 2, pp. 72-81
2003
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An intelligent system for the detection and interpretation of sleep apneas
Expert Systems with Applications, Vol. 24, Núm. 4, pp. 335-349
2001
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Temporal issues in the intelligent interpretation of the sleep Apnea syndrome
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)