Bertha Guijarro-Berdiñas

According to our database1, Bertha Guijarro-Berdiñas authored at least 70 papers between 1995 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification.
Int. J. Intell. Syst., 2021

2020
Fast Distributed <i>k</i>NN Graph Construction Using Auto-tuned Locality-sensitive Hashing.
ACM Trans. Intell. Syst. Technol., 2020

A FIPA-ACL based communication utility for Unity.
Proceedings of the 29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2020

Online learning for anomaly detection via subdivisible convex hulls.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Large scale anomaly detection in mixed numerical and categorical input spaces.
Inf. Sci., 2019

A scalable decision-tree-based method to explain interactions in dyadic data.
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

On the scalability of feature selection methods on high-dimensional data.
Knowl. Inf. Syst., 2018

An incremental non-iterative learning method for one-layer feedforward neural networks.
Appl. Soft Comput., 2018

A review of adaptive online learning for artificial neural networks.
Artif. Intell. Rev., 2018

LANN-DSVD: A privacy-preserving distributed algorithm for machine learning.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016
A unified pipeline for online feature selection and classification.
Expert Syst. Appl., 2016

Distributed learning algorithm for feedforward neural networks.
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
Distributed One-Class Support Vector Machine.
Int. J. Neural Syst., 2015

2014
A Methodology for Improving Tear Film Lipid Layer Classification.
IEEE J. Biomed. Health Informatics, 2014

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks.
Informatica, 2014

Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension.
Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014

Self-adaptive Topology Neural Network for Online Incremental Learning.
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 survey of methods for distributed machine learning.
Prog. Artif. Intell., 2013

A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks.
Expert Syst. Appl., 2013

Toward the scalability of neural networks through feature selection.
Expert Syst. Appl., 2013

An online learning algorithm for adaptable topologies of neural networks.
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
A mixture of experts for classifying sleep apneas.
Expert Syst. Appl., 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

Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test.
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 ESANN 2011, 2011

On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data.
Proceedings of the Advances in Artificial Intelligence, 2011

Scalability Analysis of ANN Training Algorithms with Feature Selection.
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

An incremental learning method for neural networks in adaptive environments.
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
Functional Networks.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A Snort-based agent for a JADE multi-agent intrusion detection system.
Int. J. Intell. Inf. Database Syst., 2009

A JADE-Based Framework for Developing Evolutionary Multi-Agent Systems.
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

An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis.
Proceedings of the Current Topics in Artificial Intelligence, 2009

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

2008
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis.
Proceedings of the ESANN 2008, 2008

2007
A Linear Learning Method for Multilayer Perceptrons Using Least-Squares.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

A Fast Semi-linear Backpropagation Learning Algorithm.
Proceedings of the Artificial Neural Networks, 2007

2006
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis.
J. Mach. Learn. Res., 2006

An Add-On for Managing Behaviours with Priority in JADE.
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

A tool for agent communication in Mozart/Oz.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

2004
A measure of fault tolerance for functional networks.
Neurocomputing, 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

Self-organizing maps and functional networks for local dynamic modeling.
Proceedings of the ESANN 2003, 2003

A Bayesian Neural Network Approach for Sleep Apnea Classification.
Proceedings of the Artificial Intelligence in Medicine, 2003

2002
A Global Optimum Approach for One-Layer Neural Networks.
Neural Comput., 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

Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks.
Proceedings of the Artificial Neural Networks, 2002

A Neural Network Approach for Forestal Fire Risk Estimation.
Proceedings of the 15th Eureopean 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
Adaptive pattern recognition in the analysis of cardiotocographic records.
IEEE Trans. Neural Networks, 2001

A Functional-Neural Network for Post-Nonlinear Independent Component Analysis.
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

A Measure of Noise Immunity for Functional Networks.
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
The NST-EXPERT project: the need to evolve.
Artif. Intell. Medicine, 1995


  Loading...