Oscar Fontenla-Romero

According to our database1, Oscar Fontenla-Romero authored at least 84 papers between 1998 and 2021.

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

Timeline

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Bibliography

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

2020
One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments.
IEEE Trans. Syst. Man Cybern. Syst., 2020

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

2018
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks.
IEEE Trans. Neural Networks Learn. 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

2017
Mutual information for improving the efficiency of the SCH algorithm.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Fault detection via recurrence time statistics and one-class classification.
Pattern Recognit. Lett., 2016

Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 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

One-class classification algorithm based on convex hull.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization.
Neural Process. Lett., 2015

Stream change detection via passive-aggressive classification and Bernoulli CUSUM.
Inf. Sci., 2015

Distributed One-Class Support Vector Machine.
Int. J. Neural Syst., 2015

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.
Comput. Methods Programs Biomed., 2015

Designing Decision Trees for Representing Sustainable Behaviours in Agents.
Proceedings of the Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability, 2015

Selecting target concept in one-class classification for handling class imbalance problem.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

One-Class Classification for Microarray Datasets with Feature Selection.
Proceedings of the Engineering Applications of Neural Networks, 2015

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

Modeling consumption of contents and advertising in online newspapers.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Influence of internal values and social networks for achieving sustainable organizations.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
A Minimum Volume Covering Approach with a Set of Ellipsoids.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

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

An online learning algorithm for adaptable topologies of neural networks.
Expert Syst. Appl., 2013

Automatic bearing fault diagnosis based on one-class ν-SVM.
Comput. Ind. Eng., 2013

Estimating the parameters of a fatigue model using Benders' decomposition.
Ann. Oper. Res., 2013

A Decision-Making Model for Environmental Behavior in Agent-Based Modeling.
Proceedings of the Advances in Computational Intelligence, 2013

Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios.
Pattern Recognit., 2012

Information Theoretic Learning and local modeling for binary and multiclass classification.
Prog. Artif. Intell., 2012

An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012

One-class classifier based on extreme value statistics.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
A study of performance on microarray data sets for a classifier based on information theoretic learning.
Neural Networks, 2011

A robust incremental learning method for non-stationary environments.
Neurocomputing, 2011

Efficiency of local models ensembles for time series prediction.
Expert Syst. Appl., 2011

Power wind mill fault detection via one-class ν-SVM vibration signal analysis.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms.
Proceedings of the ESANN 2011, 2011

2010
A new convex objective function for the supervised learning of single-layer neural networks.
Pattern Recognit., 2010

A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

An incremental learning method for neural networks in adaptive environments.
Proceedings of the International Joint Conference on Neural Networks, 2010

Local Modeling Classifier for Microarray Gene-Expression Data.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks.
Proceedings of the Artificial Neural Networks - ICANN 2010, 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

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

A new supervised local modelling classifier based on information theory.
Proceedings of the International Joint Conference on Neural Networks, 2009

Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset.
Proceedings of the Artificial Neural Networks, 2009

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

2008
A Method for Time Series Prediction using a Combination of Linear Models.
Proceedings of the ESANN 2008, 2008

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

2007
A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2007

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

A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks.
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

A Fast Classification Algorithm Based on Local Models.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response.
IEEE Trans. Neural Networks, 2005

A new method for sleep apnea classification using wavelets and feedforward neural networks.
Artif. Intell. Medicine, 2005

Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

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

Shear strength prediction using dimensional analysis and functional networks.
Proceedings of the ESANN 2004, 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

Linear Least-Squares Based Methods for Neural Networks Learning.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

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

Accelerating the convergence speed of neural networks learning methods using least squares.
Proceedings of the ESANN 2003, 2003

Recursive Least Squares for an Entropy Regularized MSE Cost Function.
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

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

An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G.
Proceedings of the 11th European Signal Processing Conference, 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
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


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