Elena Hernández-Pereira

Orcid: 0000-0001-8666-4075

According to our database1, Elena Hernández-Pereira authored at least 29 papers between 1997 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach.
Neural Comput. Appl., February, 2024

Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning.
CoRR, 2024

Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach.
CoRR, 2024

2023
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks.
Future Gener. Comput. Syst., December, 2023

Human-in-the-loop machine learning: a state of the art.
Artif. Intell. Rev., April, 2023

An effective and efficient green federated learning method for one-layer neural networks.
CoRR, 2023

Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Machine learning techniques to predict different levels of hospital care of CoVid-19.
Appl. Intell., 2022

A classification and review of tools for developing and interacting with machine learning systems.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

2021
Federated Learning approach for SpectralClustering.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2019
A Convolutional Network for Sleep Stages Classification.
CoRR, 2019

2018
Sleep staging with deep learning: a convolutional model.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 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

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

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

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

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

2012
A mixture of experts for classifying sleep apneas.
Expert Syst. Appl., 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
Improving Electrical Power Grid Visualization Using Geometry Shaders.
Proceedings of the Eighth International Conference on Computer Graphics, 2011

2009
Conversion methods for symbolic features: A comparison applied to an intrusion detection problem.
Expert Syst. Appl., 2009

Classifying Sleep Apneas Using Neural Networks and a Combination of Experts.
Proceedings of the Current Topics in Artificial Intelligence, 2009

2003
An intelligent system for the detection and interpretation of sleep apneas.
Expert Syst. Appl., 2003

An intelligent system for forest fire risk prediction and fire fighting management in Galicia.
Expert Syst. Appl., 2003

2002
A Neural Network Approach for Forestal Fire Risk Estimation.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome.
Proceedings of the Artificial Intelligence Medicine, 2001

1997
A Neural Network Approach for Symbolic Interpretation in Critical Care.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997


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