Diego Álvarez-Estévez

Orcid: 0000-0001-5790-0577

According to our database1, Diego Álvarez-Estévez authored at least 31 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Decentralized Data-Privacy Preserving Deep-Learning Approaches for Enhancing Inter-Database Generalization in Automatic Sleep Staging.
IEEE J. Biomed. Health Informatics, November, 2023

Hybrid Classic-Quantum Computing for Staging of Invasive Ductal Carcinoma of Breast.
CoRR, 2023

Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Analysis of ensemble-combination strategies for improving inter-database generalization of deep-learning-based automatic sleep staging.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2020
Inter-database validation of a deep learning approach for automatic sleep scoring.
CoRR, 2020

Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.
Comput. Biol. Medicine, 2020

2019
Dealing with the database variability problem in learning from medical data: an ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.
CoRR, 2019

A Convolutional Network for Sleep Stages Classification.
CoRR, 2019

2018
A systematic approach to API usability: Taxonomy-derived criteria and a case study.
Inf. Softw. Technol., 2018

Revisiting the Wang-Mendel algorithm for fuzzy classification.
Expert Syst. J. Knowl. Eng., 2018

Uncertainty in Quantum Rule-Based Systems.
CoRR, 2018

2017
Combining machine learning models for the automatic detection of EEG arousals.
Neurocomputing, 2017

A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings.
Comput. Biol. Medicine, 2017

Derivation and modeling of two new features for the characterization of rapid and slow eye movements in electrooculographic sleep recordings.
Biomed. Signal Process. Control., 2017

Outlining a simple and robust method for the automatic detection of EEG arousals.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
A comparison of performance of K-complex classification methods using feature selection.
Inf. Sci., 2016

Spectral Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea-Hypopnea Syndrome.
Comput. Biol. Medicine, 2016

A new automatic method for the detection of limb movements and the analysis of their periodicity.
Biomed. Signal Process. Control., 2016

Automatic detection of EEG arousals.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Computer-assisted diagnosis of the Sleep Apnea-Hypopnea Syndrome: An overview of different approaches.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Improving detection of apneic events by learning from examples and treatment of missing data.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

A study of heart rate variability as sleep apnoea predictor over two different databases.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
A method for the automatic analysis of the sleep macrostructure in continuum.
Expert Syst. Appl., 2013

2012
A framework for handling fuzzy temporal events.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

On the Continuous Evaluation of the Macrostructure of Sleep.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

2011
Identification of Electroencephalographic Arousals in Multichannel Sleep Recordings.
IEEE Trans. Biomed. Eng., 2011

Reducing dimensionality in a database of sleep EEG arousals.
Expert Syst. Appl., 2011

2010
Neuro-Fuzzy Classification Using the Correntropy Criterion: Application to Sleep Depth Estimation.
Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

Information Theoretic fuzzy modeling for regression.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Fuzzy reasoning used to detect apneic events in the sleep apnea-hypopnea syndrome.
Expert Syst. Appl., 2009

Model Comparison for the Detection of EEG Arousals in Sleep Apnea Patients.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009


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