Bertha Guijarro-Berdiñas
Orcid: 0000-0001-8901-5441
According to our database1,
Bertha Guijarro-Berdiñas
authored at least 88 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models.
CoRR, 2024
2023
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks.
Future Gener. Comput. Syst., December, 2023
Inf. Fusion, 2023
An effective and efficient green federated learning method for one-layer neural networks.
CoRR, 2023
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
CoRR, 2023
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability.
CoRR, 2023
Agent-Based Model: Simulating a Virus Expansion Based on the Acceptance of Containment Measures.
CoRR, 2023
A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders.
Proceedings of the IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2023
2022
CoRR, 2022
Machine learning techniques to predict different levels of hospital care of CoVid-19.
Appl. Intell., 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
2021
DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification.
Int. J. Intell. Syst., 2021
Int. J. Intell. Syst., 2021
Proceedings of the Advances in Computational Intelligence, 2021
Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data.
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Fast Distributed <i>k</i>NN Graph Construction Using Auto-tuned Locality-sensitive Hashing.
ACM Trans. Intell. Syst. Technol., 2020
Proceedings of the 29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Inf. Sci., 2019
Decis. Support Syst., 2019
2018
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018
Knowl. Inf. Syst., 2018
An incremental non-iterative learning method for one-layer feedforward neural networks.
Appl. Soft Comput., 2018
Artif. Intell. Rev., 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2016
Expert Syst. Appl., 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
A fast learning algorithm for high dimensional problems: an application to microarrays.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
2014
IEEE J. Biomed. Health Informatics, 2014
Informatica, 2014
Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014
Proceedings of the ICAART 2014, 2014
Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification.
Proceedings of the ICAART 2014, 2014
2013
A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks.
Expert Syst. Appl., 2013
Expert Syst. Appl., 2013
Expert Syst. Appl., 2013
A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
A Study on the Scalability of Artificial Neural Networks Training Algorithms Using Multiple-Criteria Decision-Making Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2013
2012
An Analysis of Clustering Approaches to Distributed Learning on Heterogeneously Distributed Datasets.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
2011
Dealing with "Very Large" Datasets - An Overview of a Promising Research Line: Distributed Learning.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011
Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks.
Proceedings of the 2011 IEEE Workshop On Hybrid Intelligent Models And Applications, 2011
A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data.
Proceedings of the Advances in Artificial Intelligence, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
A new convex objective function for the supervised learning of single-layer neural networks.
Pattern Recognit., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Int. J. Intell. Inf. Database Syst., 2009
Proceedings of the 7th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2009
A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Privacy-Preserving Distributed Learning Based on Genetic Algorithms and Artificial Neural Networks.
Proceedings of the Distributed Computing, 2009
Proceedings of the Current Topics in Artificial Intelligence, 2009
Proceedings of the Current Topics in Artificial Intelligence, 2009
2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
J. Mach. Learn. Res., 2006
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006
2005
A new method for sleep apnea classification using wavelets and feedforward neural networks.
Artif. Intell. Medicine, 2005
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005
2004
2003
An intelligent system for forest fire risk prediction and fire fighting management in Galicia.
Expert Syst. Appl., 2003
A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the Artificial Intelligence in Medicine, 2003
2002
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness.
Artif. Intell. Medicine, 2002
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system.
Artif. Intell., 2002
Proceedings of the Artificial Neural Networks, 2002
A Neural Network Approach for Forestal Fire Risk Estimation.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms.
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002
2001
IEEE Trans. Neural Networks, 2001
Proceedings of the Connectionist Models of Neurons, 2001
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns.
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Proceedings of the Connectionist Models of Neurons, 2001
1998
A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998
1997
A Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997
1995