E. Hernández-Pereira

发表

Intelligent diagnosis of sleep apnea syndrome

V. Moret-Bonillo, M. Cabrero-Canosa, E. Hernández-Pereira, 2004, IEEE Engineering in Medicine and Biology Magazine.

Machine learning techniques to predict different levels of hospital care of CoVid-19

Bertha Guijarro-Berdiñas, O. Fontenla-Romero, Verónica Bolón-Canedo, 2021, Applied Intelligence.

A classification and review of tools for developing and interacting with machine learning systems

E. Hernández-Pereira, E. Mosqueira-Rey, David Alonso-Ríos, 2022, SAC.

Human-in-the-loop machine learning: a state of the art

E. Hernández-Pereira, Á. Fernández-Leal, E. Mosqueira-Rey, 2022, Artificial Intelligence Review.

A comparison of performance of K-complex classification methods using feature selection

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2016, Inf. Sci..

Automatic classification of respiratory patterns involving missing data imputation techniques

Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo, 2015 .

Improving detection of apneic events by learning from examples and treatment of missing data

Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo, 2014, InMed.

A mixture of experts for classifying sleep apneas

Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Diego Peteiro-Barral, 2012, Expert Syst. Appl..

An intelligent system for the detection and interpretation of sleep apneas

Elena Hernández-Pereira, Vicente Moret-Bonillo, Maríano Javier Cabrero Canosa, 2003, Expert Syst. Appl..

Intelligent Approach for Analysis of Respiratory Signals and Oxygen Saturation in the Sleep Apnea/Hypopnea Syndrome

Elena Hernández-Pereira, Vicente Moret-Bonillo, Diego Alvarez-Estévez, 2014, The open medical informatics journal.

On The Automation of Medical Knowledge and Medical Decision Support Systems

Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, 2018 .

Combining machine learning models for the automatic detection of EEG arousals

Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, 2017, Neurocomputing.

A Comparison of Performance of Sleep Spindle Classification Methods Using Wavelets

Isaac Fernández-Varela, Elena Hernández-Pereira, Vicente Moret-Bonillo, 2016 .

A method for the automatic analysis of the sleep macrostructure in continuum

Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo, 2013, Expert Syst. Appl..

On the Continuous Evaluation of the Macrostructure of Sleep

Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo, 2012, KES.

An intelligent system for forest fire risk prediction and fire fighting management in Galicia

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2003, Expert Syst. Appl..

A Neural Network Approach for Forestal Fire Risk Estimation

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2002, ECAI.

Federated Learning approach for SpectralClustering

Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, 2021, ESANN.

Automatic detection of EEG arousals

Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, 2016, ESANN.

A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings

Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, 2017, Comput. Biol. Medicine.

Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer

V. Moret-Bonillo, E. Hernández-Pereira, Á. Fernández-Leal, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

A Convolutional Network for the Classification of Sleep Stages

Isaac Fernández-Varela, Elena Hernández-Pereira, Vicente Moret-Bonillo, 2018, Proceedings.

Conversion methods for symbolic features: A comparison applied to an intrusion detection problem

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Elena Hernández-Pereira, 2009, Expert Syst. Appl..

FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks

O. Fontenla-Romero, E. Hernández-Pereira, Beatriz Pérez-Sánchez, 2023, Future Generation Computer Systems.

Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach

V. Moret-Bonillo, E. Hernández-Pereira, Á. Fernández-Leal, 2023, Neural Computing and Applications.