Elena María
Hernández Pereira
Profesora Titular de Universidad
Publicaciones (37) Publicaciones de Elena María Hernández Pereira
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
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An effective and efficient green federated learning method for one-layer neural networks
Proceedings of the ACM Symposium on Applied Computing
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method
Proceedings of the ACM Symposium on Applied Computing
2023
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FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks
Future Generation Computer Systems, Vol. 149, pp. 200-211
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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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Human-in-the-loop machine learning: a state of the art
Artificial Intelligence Review, Vol. 56, Núm. 4, pp. 3005-3054
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Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment
VI Congreso XoveTIC: impulsando el talento científico
2022
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A classification and review of tools for developing and interacting with machine learning systems
Proceedings of the ACM Symposium on Applied Computing
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Machine learning techniques to predict different levels of hospital care of CoVid-19
Applied Intelligence, Vol. 52, Núm. 6, pp. 6413-6431
2021
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Federated Learning approach for Spectral Clustering
ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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