Model Comparison for the Detection of EEG Arousals in Sleep Apnea Patients. - Diego Álvarez-Estévez; Vicente Moret-Bonillo (IWANN (1), 2009)

Fuzzy reasoning used to detect apneic events in the sleep apnea-hypopnea syndrome. - Diego Álvarez-Estévez; Vicente Moret-Bonillo (Expert Syst. Appl., 2009)

Information Theoretic fuzzy modeling for regression. - Diego Álvarez-Estévez; José Carlos Príncipe; Vicente Moret-Bonillo (FUZZ-IEEE, 2010)

Neuro-Fuzzy Classification Using the Correntropy Criterion: Application to Sleep Depth Estimation. - Diego Álvarez-Estévez; José Carlos Príncipe; Vicente Moret-Bonillo (IC-AI, 2010)

Reducing dimensionality in a database of sleep EEG arousals. - Diego Álvarez-Estévez; Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; Vicente Moret-Bonillo (Expert Syst. Appl., 2011)

Identification of Electroencephalographic Arousals in Multichannel Sleep Recordings. - Diego Álvarez-Estévez; Vicente Moret-Bonillo (IEEE Trans. Biomed. Eng., 2011)

On the Continuous Evaluation of the Macrostructure of Sleep. - Diego Álvarez-Estévez; José María Fernández-Pastoriza; Elena Hernández-Pereira; Vicente Moret-Bonillo (KES, 2012)

A framework for handling fuzzy temporal events. - Ángel Fernández-Leal; Diego Álvarez-Estévez; José María Fernández-Pastoriza; Vicente Moret-Bonillo (KES, 2012)

A method for the automatic analysis of the sleep macrostructure in continuum. - Diego Álvarez-Estévez; José María Fernández-Pastoriza; Elena Hernández-Pereira; Vicente Moret-Bonillo (Expert Syst. Appl., 2013)

A study of heart rate variability as sleep apnoea predictor over two different databases. - Veronica Peiteado-Brea; Diego Álvarez-Estévez; Vicente Moret-Bonillo (BHI, 2014)

Improving detection of apneic events by learning from examples and treatment of missing data. - Elena Hernández-Pereira; Diego Álvarez-Estévez; Vicente Moret-Bonillo (InMed, 2014)

Computer-assisted diagnosis of the Sleep Apnea-Hypopnea Syndrome: An overview of different approaches. - Diego Álvarez-Estévez; Vicente Moret-Bonillo (EMBC, 2015)

Automatic detection of EEG arousals. - Isaac Fernández-Varela; Elena Hernández-Pereira; Diego Álvarez-Estévez; Vicente Moret-Bonillo (ESANN, 2016)

A new automatic method for the detection of limb movements and the analysis of their periodicity. - Diego Álvarez-Estévez (Biomed. Signal Process. Control., 2016)

Spectral Heart Rate Variability analysis using the heart timing signal for the screening of the Sleep Apnea-Hypopnea Syndrome. - Diego Álvarez-Estévez; Vicente Moret-Bonillo (Comput. Biol. Medicine, 2016)

A comparison of performance of K-complex classification methods using feature selection. - Elena Hernández-Pereira; Verónica Bolón-Canedo; Noelia Sánchez-Maroño; Diego Álvarez-Estévez; Vicente Moret-Bonillo; Amparo Alonso-Betanzos (Inf. Sci., 2016)

Outlining a simple and robust method for the automatic detection of EEG arousals. - Isaac Fernández-Varela; Diego Álvarez-Estévez; Elena Hernández-Pereira; Vicente Moret-Bonillo (ESANN, 2017)

Derivation and modeling of two new features for the characterization of rapid and slow eye movements in electrooculographic sleep recordings. - Diego Álvarez-Estévez; Irma van Velzen; Truus Ottolini-Capellen; Bob Kemp (Biomed. Signal Process. Control., 2017)

A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings. - Isaac Fernández-Varela; Diego Álvarez-Estévez; Elena Hernández-Pereira; Vicente Moret-Bonillo (Comput. Biol. Medicine, 2017)

Combining machine learning models for the automatic detection of EEG arousals. - Isaac Fernández-Varela; Elena Hernández-Pereira; Diego Álvarez-Estévez; Vicente Moret-Bonillo (Neurocomputing, 2017)

Uncertainty in Quantum Rule-Based Systems. - Vicente Moret-Bonillo; Isaac Fernández-Varela; Diego Álvarez-Estévez (CoRR, 2018)

Revisiting the Wang-Mendel algorithm for fuzzy classification. - Diego Álvarez-Estévez; Vicente Moret-Bonillo (Expert Syst. J. Knowl. Eng., 2018)

A systematic approach to API usability: Taxonomy-derived criteria and a case study. - Eduardo Mosqueira-Rey; David Alonso-Ríos; Vicente Moret-Bonillo; Isaac Fernández-Varela; Diego Álvarez-Estévez (Inf. Softw. Technol., 2018)

A Convolutional Network for Sleep Stages Classification. - Isaac Fernández-Varela; Elena Hernández-Pereira; Diego Álvarez-Estévez; Vicente Moret-Bonillo (CoRR, 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. - Diego Álvarez-Estévez; Isaac Fernández-Varela (CoRR, 2019)

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. - Diego Álvarez-Estévez; Isaac Fernández-Varela (Comput. Biol. Medicine, 2020)

Inter-database validation of a deep learning approach for automatic sleep scoring. - Diego Álvarez-Estévez; Roselyne M. Rijsman (CoRR, 2020)

Analysis of ensemble-combination strategies for improving inter-database generalization of deep-learning-based automatic sleep staging. - Adriana Anido-Alonso; Diego Álvarez-Estévez (BHI, 2022)

Comparison of ensemble-combination approaches in an automatic sleep staging inter-database generalization task. - Adriana Anido-Alonso; Diego Álvarez-Estévez (XoveTIC, 2022)

Validation of the quality of sleep data generated by Xiaomi Mi Band 5. - Estefanía Rivas Vázquez; Diego Álvarez-Estévez; Patricia Concheiro-Moscoso; Javier Pereira 001 (XoveTIC, 2022)

Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries. - Samuel Magaz-Romero; Eduardo Mosqueira-Rey; Diego Álvarez-Estévez; Vicente Moret-Bonillo (ICCS (5), 2023)

Hybrid Classic-Quantum Computing for Staging of Invasive Ductal Carcinoma of Breast. - Vicente Moret-Bonillo; Eduardo Mosqueira-Rey; Samuel Magaz-Romero; Diego Álvarez-Estévez (CoRR, 2023)

Decentralized Data-Privacy Preserving Deep-Learning Approaches for Enhancing Inter-Database Generalization in Automatic Sleep Staging. - Adriana Anido-Alonso; Diego Álvarez-Estévez (IEEE J. Biomed. Health Informatics, 2023)

Benchmarking quantum machine learning kernel training for classification tasks. - Diego Álvarez-Estévez (CoRR, 2024)

Multi-task deep-learning for sleep event detection and stage classification. - Adriana Anido-Alonso; Diego Álvarez-Estévez (CoRR, 2025)