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Hernandez-Pereira, Elena
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1

Advances in Artificial Intelligence: 20th Conference of the.. 

Lecture Notes in Artificial Intelligence, 14640
Alonso-Betanzos, Amparo ; Guijarro-Berdiñas, Bertha ; Bolón-Canedo, Verónica... - 1st ed. 2024 . , 2024
Link: https://doi.org/10.1007/..
 
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2

RUL Prediction of Lithium-ion Batteries using a Federated a..:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,
López, Víctor ; Fontenla-Romero, Oscar ; Hernández-Pereira, Elena... - p. 565-571 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

An effective and efficient green federated learning method ..:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,
Fontenla-Romero, Oscar ; Guijarro-Berdiñas, Berta ; Hernandez-Pereira, Elena. - p. 1050-1052 , 2024
Link: https://dl.acm.org/doi/1..
 
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4

Human-in-the-Loop Machine Learning for the Treatment of Pan..:

, In: 2023 International Joint Conference on Neural Networks (IJCNN),
Mosqueira-Rey, Eduardo ; Perez-Sanchez, Alberto ; Hernandez-Pereira, Elena... - p. 1-9 , 2023
Link: https://doi.org/10.1109/..
 
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5

Addressing the data bottleneck in medical deep learning mod..:

Mosqueira-Rey, Eduardo ; Hernández-Pereira, Elena ; Bobes-Bascarán, José...
Neural Computing and Applications.  36 (2023)  5 - p. 2597-2616 , 2023
Link: https://doi.org/10.1007/..
 
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6

FedHEONN: Federated and homomorphically encrypted learning ..:

Fontenla-Romero, Oscar ; Guijarro-Berdiñas, Bertha ; Hernández-Pereira, Elena.
Future Generation Computer Systems.  149 (2023)  - p. 200-211 , 2023
Link: https://doi.org/10.1016/..
 
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7

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

Mosqueira-Rey, Eduardo ; Hernández-Pereira, Elena ; Alonso-Ríos, David..
Artificial Intelligence Review.  56 (2022)  4 - p. 3005-3054 , 2022
Link: https://doi.org/10.1007/..
 
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8

Machine learning techniques to predict different levels of ..:

Hernández-Pereira, Elena ; Fontenla-Romero, Oscar ; Bolón-Canedo, Verónica...
Applied Intelligence.  52 (2021)  6 - p. 6413-6431 , 2021
Link: https://doi.org/10.1007/..
 
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9

A simple and robust method for the automatic scoring of EEG..:

Fernández-Varela, Isaac ; Alvarez-Estevez, Diego ; Hernández-Pereira, Elena.
Computers in Biology and Medicine.  87 (2017)  - p. 77-86 , 2017
Link: https://doi.org/10.1016/..
 
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10

Combining machine learning models for the automatic detecti..:

Fernández-Varela, Isaac ; Hernández-Pereira, Elena ; Álvarez-Estévez, Diego.
Neurocomputing.  268 (2017)  - p. 100-108 , 2017
Link: https://doi.org/10.1016/..
 
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11

A comparison of performance of K-complex classification met..:

Hernández-Pereira, Elena ; Bolón-Canedo, Veronica ; Sánchez-Maroño, Noelia...
Information Sciences.  328 (2016)  - p. 1-14 , 2016
Link: https://doi.org/10.1016/..
 
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12

Intelligent Approach for Analysis of Respiratory Signals an..:

Moret-Bonillo, Vicente ; Alvarez-Estévez, Diego ; Fernández-Leal, Angel.
The Open Medical Informatics Journal.  8 (2014)  1 - p. 1-19 , 2014
Link: https://doi.org/10.2174/..
 
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13

A method for the automatic analysis of the sleep macrostruc..:

Álvarez-Estévez, Diego ; Fernández-Pastoriza, José M. ; Hernández-Pereira, Elena.
Expert Systems with Applications.  40 (2013)  5 - p. 1796-1803 , 2013
Link: https://doi.org/10.1016/..
 
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14

A mixture of experts for classifying sleep apneas:

Guijarro-Berdiñas, Bertha ; Hernández-Pereira, Elena ; Peteiro-Barral, Diego
Expert Systems with Applications.  39 (2012)  8 - p. 7084-7092 , 2012
Link: https://doi.org/10.1016/..
 
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15

An intelligent system for forest fire risk prediction and f..:

Alonso-Betanzos, Amparo ; Fontenla-Romero, Oscar ; Guijarro-Berdiñas, Bertha...
Expert Systems with Applications.  25 (2003)  4 - p. 545-554 , 2003
Link: https://doi.org/10.1016/..
 
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