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Elena Hernández-Pereira
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2020 – today
- 2024
- [j12]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:
Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach. Neural Comput. Appl. 36(5): 2597-2616 (2024) - [c17]Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas, Carlos Blanco-Seijo, Samuel Fernandez-Paz:
RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. SAC 2024: 565-571 - [c16]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez:
An effective and efficient green federated learning method for one-layer neural networks. SAC 2024: 1050-1052 - [e1]Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso:
Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings. Lecture Notes in Computer Science 14640, Springer 2024, ISBN 978-3-031-62798-9 [contents] - [i4]José Bobes-Bascarán, Eduardo Mosqueira-Rey, Ángel Fernández-Leal, Elena Hernández-Pereira, David Alonso-Ríos, Vicente Moret-Bonillo, Israel Figueirido-Arnoso, Yolanda Vidal-Ínsua:
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach. CoRR abs/2403.19820 (2024) - [i3]David Vázquez-Lema, Eduardo Mosqueira-Rey, Elena Hernández-Pereira, Carlos Fernandez-Lozano, Fernando Seara-Romera, Jorge Pombo-Otero:
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning. CoRR abs/2403.20112 (2024) - 2023
- [j11]Eduardo Mosqueira-Rey, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán, Ángel Fernández-Leal:
Human-in-the-loop machine learning: a state of the art. Artif. Intell. Rev. 56(4): 3005-3054 (2023) - [j10]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez:
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. Future Gener. Comput. Syst. 149: 200-211 (2023) - [c15]Eduardo Mosqueira-Rey, David Vázquez-Lema, Elena Hernández-Pereira:
Evaluating Curriculum Learning Strategies for Pancreatic Cancer Prediction. ESANN 2023 - [c14]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:
Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer. IJCNN 2023: 1-9 - [i2]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez:
An effective and efficient green federated learning method for one-layer neural networks. CoRR abs/2312.14528 (2023) - 2022
- [j9]Elena Hernández-Pereira, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Brais Cancela-Barizo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Machine learning techniques to predict different levels of hospital care of CoVid-19. Appl. Intell. 52(6): 6413-6431 (2022) - [c13]Eduardo Mosqueira-Rey, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán:
A classification and review of tools for developing and interacting with machine learning systems. SAC 2022: 1092-1101 - [c12]José Bobes-Bascarán, Alberto Pérez-Sánchez, Eduardo Mosqueira-Rey, David Alonso-Ríos, Elena Hernández-Pereira:
Using Active Learning to Improve the Treatment Selection on Pancreatic Cancer Patients. XoveTIC 2022: 70-72 - 2021
- [c11]Elena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Federated Learning approach for SpectralClustering. ESANN 2021
2010 – 2019
- 2019
- [i1]Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo:
A Convolutional Network for Sleep Stages Classification. CoRR abs/1902.05748 (2019) - 2018
- [c10]Isaac Fernández-Varela, Dimitrios Athanasakis, Samuel Parsons, Elena Hernández-Pereira, Vicente Moret-Bonillo:
Sleep staging with deep learning: a convolutional model. ESANN 2018 - 2017
- [j8]Isaac Fernández-Varela, Diego Álvarez-Estévez, Elena Hernández-Pereira, Vicente Moret-Bonillo:
A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings. Comput. Biol. Medicine 87: 77-86 (2017) - [j7]Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo:
Combining machine learning models for the automatic detection of EEG arousals. Neurocomputing 268: 100-108 (2017) - [c9]Isaac Fernández-Varela, Diego Álvarez-Estévez, Elena Hernández-Pereira, Vicente Moret-Bonillo:
Outlining a simple and robust method for the automatic detection of EEG arousals. ESANN 2017 - 2016
- [j6]Elena Hernández-Pereira, Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Diego Álvarez-Estévez, Vicente Moret-Bonillo, Amparo Alonso-Betanzos:
A comparison of performance of K-complex classification methods using feature selection. Inf. Sci. 328: 1-14 (2016) - [c8]Isaac Fernández-Varela, Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo:
Automatic detection of EEG arousals. ESANN 2016 - 2014
- [c7]Elena Hernández-Pereira, Diego Álvarez-Estévez, Vicente Moret-Bonillo:
Improving detection of apneic events by learning from examples and treatment of missing data. InMed 2014: 213-224 - 2013
- [j5]Diego Álvarez-Estévez, José María Fernández-Pastoriza, Elena Hernández-Pereira, Vicente Moret-Bonillo:
A method for the automatic analysis of the sleep macrostructure in continuum. Expert Syst. Appl. 40(5): 1796-1803 (2013) - 2012
- [j4]Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Diego Peteiro-Barral:
A mixture of experts for classifying sleep apneas. Expert Syst. Appl. 39(8): 7084-7092 (2012) - [c6]Diego Álvarez-Estévez, José María Fernández-Pastoriza, Elena Hernández-Pereira, Vicente Moret-Bonillo:
On the Continuous Evaluation of the Macrostructure of Sleep. KES 2012: 189-198 - 2011
- [c5]Javier Novo Rodriguez, Mariano Cabrero Canosa, Elena Hernández-Pereira:
Improving Electrical Power Grid Visualization Using Geometry Shaders. CGIV 2011: 177-182
2000 – 2009
- 2009
- [j3]Elena Hernández-Pereira, Juan A. Suárez-Romero, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Conversion methods for symbolic features: A comparison applied to an intrusion detection problem. Expert Syst. Appl. 36(7): 10612-10617 (2009) - [c4]Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Diego Peteiro-Barral:
Classifying Sleep Apneas Using Neural Networks and a Combination of Experts. CAEPIA 2009: 271-280 - 2003
- [j2]Maríano Javier Cabrero Canosa, María del Mar Castro Pereiro, Marta Graña Ramos, Elena Hernández-Pereira, Vicente Moret-Bonillo, M. Martin-Egaña, H. Verea-Hernando:
An intelligent system for the detection and interpretation of sleep apneas. Expert Syst. Appl. 24(4): 335-349 (2003) - [j1]Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas:
An intelligent system for forest fire risk prediction and fire fighting management in Galicia. Expert Syst. Appl. 25(4): 545-554 (2003) - 2002
- [c3]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:
A Neural Network Approach for Forestal Fire Risk Estimation. ECAI 2002: 643-647 - 2001
- [c2]Maríano Javier Cabrero Canosa, María del Mar Castro Pereiro, Marta Graña Ramos, Elena Hernández-Pereira, Vicente Moret-Bonillo:
Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome. AIME 2001: 235-238
1990 – 1999
- 1997
- [c1]Vicente Moret-Bonillo, Jorge Díaz-Fernández, Elena Hernández-Pereira:
A Neural Network Approach for Symbolic Interpretation in Critical Care. IWANN 1997: 952-961
Coauthor Index
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