A Neural Network Approach for Symbolic Interpretation in Critical Care. - Vicente Moret-Bonillo; Jorge Díaz-Fernández; Elena Hernández-Pereira (IWANN, 1997)

Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome. - Maríano Javier Cabrero Canosa; María del Mar Castro Pereiro; Marta Graña Ramos; Elena Hernández-Pereira; Vicente Moret-Bonillo (AIME, 2001)

A Neural Network Approach for Forestal Fire Risk Estimation. - Amparo Alonso-Betanzos; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Juan Canda; Eulogio Jimenez; Jose Luis Legido; Susana Muñiz; Cristina Paz-Andrade; Maria Inmaculada Paz-Andrade (ECAI, 2002)

An intelligent system for forest fire risk prediction and fire fighting management in Galicia. - Amparo Alonso-Betanzos; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Maria Inmaculada Paz-Andrade; Eulogio Jimenez; Jose Luis Legido; Tarsy Carballas (Expert Syst. Appl., 2003)

An intelligent system for the detection and interpretation of sleep apneas. - Maríano Javier Cabrero Canosa; María del Mar Castro Pereiro; Marta Graña Ramos; Elena Hernández-Pereira; Vicente Moret-Bonillo; M. Martin-Egaña; H. Verea-Hernando (Expert Syst. Appl., 2003)

Classifying Sleep Apneas Using Neural Networks and a Combination of Experts. - Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Diego Peteiro-Barral (CAEPIA, 2009)

Conversion methods for symbolic features: A comparison applied to an intrusion detection problem. - Elena Hernández-Pereira; Juan A. Suárez-Romero; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Expert Syst. Appl., 2009)

Improving Electrical Power Grid Visualization Using Geometry Shaders. - Javier Novo Rodriguez; Mariano Cabrero Canosa; Elena Hernández-Pereira (CGIV, 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 mixture of experts for classifying sleep apneas. - Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Diego Peteiro-Barral (Expert Syst. Appl., 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)

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)

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

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)

Sleep staging with deep learning: a convolutional model. - Isaac Fernández-Varela; Dimitrios Athanasakis; Samuel Parsons; Elena Hernández-Pereira; Vicente Moret-Bonillo (ESANN, 2018)

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

Federated Learning approach for SpectralClustering. - Elena Hernández-Pereira; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (ESANN, 2021)

A classification and review of tools for developing and interacting with machine learning systems. - Eduardo Mosqueira-Rey; Elena Hernández-Pereira; David Alonso-Ríos; José Bobes-Bascarán (SAC, 2022)

Using Active Learning to Improve the Treatment Selection on Pancreatic Cancer Patients. - José Bobes-Bascarán; Alberto Pérez-Sánchez; Eduardo Mosqueira-Rey; David Alonso-Ríos; Elena Hernández-Pereira (XoveTIC, 2022)

Machine learning techniques to predict different levels of hospital care of CoVid-19. - Elena Hernández-Pereira; Oscar Fontenla-Romero; Verónica Bolón-Canedo; Brais Cancela-Barizo; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (Appl. Intell., 2022)

Evaluating Curriculum Learning Strategies for Pancreatic Cancer Prediction. - Eduardo Mosqueira-Rey; David Vázquez-Lema; Elena Hernández-Pereira (ESANN, 2023)

Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer. - Eduardo Mosqueira-Rey; Alberto Pérez-Sánchez; Elena Hernández-Pereira; David Alonso-Ríos; José Bobes-Bascarán; Ángel Fernández-Leal; Vicente Moret-Bonillo; Yolanda Vidal-Ínsua; Francisca Vázquez-Rivera (IJCNN, 2023)

Human-in-the-loop machine learning: a state of the art. - Eduardo Mosqueira-Rey; Elena Hernández-Pereira; David Alonso-Ríos; José Bobes-Bascarán; Ángel Fernández-Leal (Artif. Intell. Rev., 2023)

FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Beatriz Pérez-Sánchez (Future Gener. Comput. Syst., 2023)

AI-based algorithm for intrusion detection on a real dataset. - David Esteban Martínez; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Elena Hernández-Pereira; Alejandro Esteban Martínez (ESANN, 2024)

An effective and efficient green federated learning method for one-layer neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Beatriz Pérez-Sánchez (SAC, 2024)

RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. - Víctor López 002; Oscar Fontenla-Romero; Elena Hernández-Pereira; Bertha Guijarro-Berdiñas; Carlos Blanco-Seijo; Samuel Fernández-Paz (SAC, 2024)

Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach. - José Bobes-Bascarán; Eduardo Mosqueira-Rey; Ángel Fernández-Leal; Elena Hernández-Pereira; David Alonso-Ríos; Vicente Moret-Bonillo; Israel Figueirido-Arnoso; Yolanda Vidal-Ínsua (CoRR, 2024)

Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach. - Eduardo Mosqueira-Rey; Elena Hernández-Pereira; José Bobes-Bascarán; David Alonso-Ríos; Alberto Pérez-Sánchez; Ángel Fernández-Leal; Vicente Moret-Bonillo; Yolanda Vidal-Ínsua; Francisca Vázquez-Rivera (Neural Comput. Appl., 2024)

Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption. - Víctor López 002; Oscar Fontenla-Romero; Elena Hernández-Pereira; Bertha Guijarro-Berdiñas; Carlos Blanco-Seijo; Samuel Fernández-Paz (ICAART (3), 2025)

Segmentation, classification and interpretation of breast cancer medical images using human-in-the-loop machine learning. - David Vázquez-Lema; Eduardo Mosqueira-Rey; Elena Hernández-Pereira; Carlos Fernandez-Lozano; Fernando Seara-Romera; Jorge Pombo-Otero (Neural Comput. Appl., 2025)