Oscar Fontenla-Romero

发表

DSVD‐autoencoder: A scalable distributed privacy‐preserving method for one‐class classification

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2020, Int. J. Intell. Syst..

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, 2019, Methods in molecular biology.

A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection

Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño, 2010, ICANN.

LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Dealing with inter-expert variability in Retinopathy of Prematurity through machine learning

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Deniz Erdogmus, 2015 .

A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, 2008, ESANN.

A new method for sleep apnea classification using wavelets and feedforward neural networks

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2005, Artif. Intell. Medicine.

Empirically-Derived Behavioral Rules in Agent-Based Models Using Decision Trees Learned from Questionnaire Data

Tony Craig, Oscar Fontenla-Romero, Noelia Sánchez-Maroño, 2017 .

A new supervised local modelling classifier based on information theory

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2009, 2009 International Joint Conference on Neural Networks.

Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2013, CAEPIA.

A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2013, Expert Syst. Appl..

One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Diego Fernández-Francos, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, 2016, ICANN.

An intelligent system for forest fire risk prediction and fire fighting management in Galicia

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2003, Expert Syst. Appl..

One-class classification algorithm based on convex hull

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Diego Fernández-Francos, 2016, ESANN.

Influence of internal values and social networks for achieving sustainable organizations

Amparo Alonso-Betanzos, Tony Craig, Oscar Fontenla-Romero, 2014, ECAI.

Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2002, Artif. Intell..

An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2009, CAEPIA.

An online learning algorithm for adaptable topologies of neural networks

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2013, Expert Syst. Appl..

Online Machine Learning

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2024, Machine Learning: Foundations, Methodologies, and Applications.

Shear strength prediction using dimensional analysis and functional networks

Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, 2004, ESANN.

A fast learning algorithm for high dimensional problems: an application to microarrays

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2016, ESANN.

A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2011, ESANN.

A Global Optimum Approach for One-Layer Neural Networks

Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, 2002, Neural Computation.

A Measure of Noise Immunity for Functional Networks

Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, 2001, IWANN.

Self-adaptive Topology Neural Network for Online Incremental Learning

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2014, ICAART.

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

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2001, IWANN.

Modeling consumption of contents and advertising in online newspapers

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2014, ESANN.

A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Iago Porto-Díaz, 2010, KES.

A Fast Semi-linear Backpropagation Learning Algorithm

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2007, ICANN.

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Deniz Erdogmus, 2015, Comput. Methods Programs Biomed..

Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2009, ICANN.

Efficiency of local models ensembles for time series prediction

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2011, Expert Syst. Appl..

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

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Yuridia Gago-Pallares, 2007, IDEAL.

A Neural Network Approach for Forestal Fire Risk Estimation

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2002, ECAI.

A Machine Learning Solution for Distributed Environments and Edge Computing

Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Javier Penas-Noce, 2019 .

Automatic bearing fault diagnosis based on one-class ν-SVM

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2013, Comput. Ind. Eng..

A measure of fault tolerance for functional networks

Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, 2004, Neurocomputing.

Information Theoretic Learning and local modeling for binary and multiclass classification

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2012, Progress in Artificial Intelligence.

A new convex objective function for the supervised learning of single-layer neural networks

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, 2010, Pattern Recognit..

Selecting target concept in one-class classification for handling class imbalance problem

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization

Amparo Alonso-Betanzos, Tony Craig, Oscar Fontenla-Romero, 2014, Neural Processing Letters.

Distributed learning algorithm for feedforward neural networks

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2016, ESANN.

A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Ruben M. Rodriguez-Pena, 2007, 2007 International Joint Conference on Neural Networks.

A Method for Time Series Prediction using a Combination of Linear Models

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2008, ESANN.

Qualitative spatial representation in agent-based models

Gary Polhill, Tony Craig, Oscar Fontenla-Romero, 2014 .

Conversion methods for symbolic features: A comparison applied to an intrusion detection problem

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Elena Hernández-Pereira, 2009, Expert Syst. Appl..

A Fast Classification Algorithm Based on Local Models

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Sabela Platero-Santos, 2006, IDEAL.

Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response

Amparo Alonso-Betanzos, Enrique F. Castillo, Deniz Erdogmus, 2005, IEEE Transactions on Neural Networks.

Web-Based Multimedia Tools for Monitoring and E-Learning

Oscar Fontenla-Romero, Francisco Bellas, Noelia Sánchez-Maroño, 2010 .

Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction

Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, 2005, ICANN.

Local Modeling Classifier for Microarray Gene-Expression Data

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, 2010, ICANN.

An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Tony Craig, 2012, PAAMS.

Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2014, ICAART.

A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2009, IWANN.

An incremental non-iterative learning method for one-layer feedforward neural networks

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2017, Appl. Soft Comput..

Self-organizing maps and functional networks for local dynamic modeling

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2003, ESANN.

One-class classifier based on extreme value statistics

Amparo Alonso-Betanzos, José Carlos Príncipe, Oscar Fontenla-Romero, 2012, ESANN.

One-Class Classification for Microarray Datasets with Feature Selection

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, 2015, EANN.

A robust incremental learning method for non-stationary environments

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, 2011, Neurocomputing.

Online learning for anomaly detection via subdivisible convex hulls

Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, David Novoa-Paradela, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Minimum Volume Covering Approach with a Set of Ellipsoids

Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fault detection via recurrence time statistics and one-class classification

Amparo Alonso-Betanzos, José Carlos Príncipe, Oscar Fontenla-Romero, 2016, Pattern Recognit. Lett..

Estimating the parameters of a fatigue model using Benders’ decomposition

Enrique F. Castillo, Antonio J. Conejo, Oscar Fontenla-Romero, 2013, Ann. Oper. Res..

Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, 2010, ICANN.

Recursive Least Squares for an Entropy Regularized MSE Cost Function

Amparo Alonso-Betanzos, Deniz Erdogmus, José Carlos Príncipe, 2003, ESANN.

A Bayesian Neural Network Approach for Sleep Apnea Classification

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2003, AIME.

Linear Least-Squares Based Methods for Neural Networks Learning

Amparo Alonso-Betanzos, Enrique F. Castillo, Deniz Erdogmus, 2003, ICANN.

Stream change detection via passive-aggressive classification and Bernoulli CUSUM

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2015, Inf. Sci..

Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks

Amparo Alonso-Betanzos, José Carlos Príncipe, Oscar Fontenla-Romero, 1998, NC.

A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis

Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, 2006, J. Mach. Learn. Res..

Mutual information for improving the efficiency of the SCH algorithm

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Gavin Brown, 2017, ESANN.

LANN-DSVD: A privacy-preserving distributed algorithm for machine learning

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2018, ESANN.

A study of performance on microarray data sets for a classifier based on information theoretic learning

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, 2011, Neural Networks.

Power wind mill fault detection via one-class ν-SVM vibration signal analysis

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2011, The 2011 International Joint Conference on Neural Networks.

Accelerating the convergence speed of neural networks learning methods using least squares

Amparo Alonso-Betanzos, Enrique F. Castillo, Deniz Erdogmus, 2003, ESANN.

Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks

Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, 2002, ICANN.

A Decision-Making Model for Environmental Behavior in Agent-Based Modeling

Amparo Alonso-Betanzos, Tony Craig, Oscar Fontenla-Romero, 2013, IWANN.

Adaptive pattern recognition in the analysis of cardiotocographic records

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2001, IEEE Trans. Neural Networks.

A Linear Learning Method for Multilayer Perceptrons Using Least-Squares

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2007, IDEAL.

An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G

Deniz Erdogmus, José Carlos Príncipe, Oscar Fontenla-Romero, 2002, 2002 11th European Signal Processing Conference.

An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2001, IWANN.

A review of adaptive online learning for artificial neural networks

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2016, Artificial Intelligence Review.

An incremental learning method for neural networks in adaptive environments

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2003, IWANN.

Distributed One-Class Support Vector Machine

Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2015, Int. J. Neural Syst..

Functional Networks

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2009, Encyclopedia of Artificial Intelligence.

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks

José Luís Calvo-Rolle, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, 2014, Informatica.

Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, 2002, Advances in Computational Intelligence and Learning.

Designing Decision Trees for Representing Sustainable Behaviours in Agents

Amparo Alonso-Betanzos, Tony Craig, Oscar Fontenla-Romero, 2015, PAAMS.

Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, David Martínez-Rego, 2012, Pattern Recognit..

The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students

Oscar Fontenla-Romero, Francisco Bellas, Sara Guerreiro-Santalla, 2021, AIED.

Regularized One-Layer Neural Networks for Distributed and Incremental Environments

Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, 2021, IWANN.

Federated Learning approach for SpectralClustering

Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, 2021, ESANN.

Learning by Doing in Higher Education: An Experience to Increase Self-learning and Motivation in First Courses

Oscar Fontenla-Romero, Francisco Bellas, Noelia Sánchez-Maroño, 2021, CISIS-ICEUTE.

An ontology-based design for modelling case studies of everyday proenvironmental behaviour in the workplace

Gary Polhill, Tony Craig, Oscar Fontenla-Romero, 2012 .

A New Initialization Method for Neural Networks Using Sensitivity Analysis

Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, 2022 .

Testing Scenarios to Achieve Workplace Sustainability Goals Using Backcasting and Agent-Based Modeling

Tony Craig, Adina Dumitru, Oscar Fontenla-Romero, 2017 .