Elena Hernández-Pereira
Orcid: 0000-0001-8666-4075
According to our database1,
Elena Hernández-Pereira
authored at least 33 papers
between 1997 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2000
2005
2010
2015
2020
0
1
2
3
4
5
6
7
3
2
1
1
2
1
1
1
1
2
3
2
2
1
1
1
1
1
1
1
1
1
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
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
RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
An effective and efficient green federated learning method for one-layer neural networks.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
2023
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks.
Future Gener. Comput. Syst., December, 2023
Artif. Intell. Rev., April, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023
2022
Machine learning techniques to predict different levels of hospital care of CoVid-19.
Appl. Intell., 2022
Using Active Learning to Improve the Treatment Selection on Pancreatic Cancer Patients.
Proceedings of V XoveTIC Conference, 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
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2019
2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Neurocomputing, 2017
A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings.
Comput. Biol. Medicine, 2017
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
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
Expert Syst. Appl., 2013
2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
2011
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
Proceedings of the Current Topics in Artificial Intelligence, 2009
2003
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
Proceedings of the Artificial Intelligence Medicine, 2001
1997
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997