Amparo Alonso-Betanzos

According to our database1, Amparo Alonso-Betanzos authored at least 166 papers between 1989 and 2021.

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

Timeline

Legend:

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Bibliography

2021
Dealing with heterogeneity in the context of distributed feature selection for classification.
Knowl. Inf. Syst., 2021

Editor's Note.
Int. J. Interact. Multim. Artif. Intell., 2021

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

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

Feature selection with limited bit depth mutual information for portable embedded systems.
Knowl. Based Syst., 2020

A scalable saliency-based feature selection method with instance-level information.
Knowl. Based Syst., 2020

Performance evaluation of unsupervised techniques in cyber-attack anomaly detection.
J. Ambient Intell. Humaniz. Comput., 2020

Community detection and social network analysis based on the Italian wars of the 15th century.
Future Gener. Comput. Syst., 2020

E2E-FS: An End-to-End Feature Selection Method for Neural Networks.
CoRR, 2020

On the effectiveness of convolutional autoencoders on image-based personalized recommender systems.
CoRR, 2020

When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Do we need hundreds of classifiers or a good feature selection?
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Optimizing novelty and diversity in recommendations.
Prog. Artif. Intell., 2019

Distributed correlation-based feature selection in spark.
Inf. Sci., 2019

Distributed classification based on distances between probability distributions in feature space.
Inf. Sci., 2019

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

Insights into distributed feature ranking.
Inf. Sci., 2019

On developing an automatic threshold applied to feature selection ensembles.
Inf. Fusion, 2019

Ensembles for feature selection: A review and future trends.
Inf. Fusion, 2019

Biases in feature selection with missing data.
Neurocomputing, 2019

A scalable decision-tree-based method to explain interactions in dyadic data.
Decis. Support Syst., 2019

Distributed Correlation-Based Feature Selection in Spark.
CoRR, 2019

2018
Recent Advances in Ensembles for Feature Selection
Intelligent Systems Reference Library 147, Springer, ISBN: 978-3-319-90079-7, 2018

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.
IEEE Trans. Syst. Man Cybern. Syst., 2018

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

Analysis of imputation bias for feature selection with missing data.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
On the use of different base classifiers in multiclass problems.
Prog. Artif. Intell., 2017

Testing Different Ensemble Configurations for Feature Selection.
Neural Process. Lett., 2017

Ensemble feature selection: Homogeneous and heterogeneous approaches.
Knowl. Based Syst., 2017

Centralized vs. distributed feature selection methods based on data complexity measures.
Knowl. Based Syst., 2017

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders.
Knowl. Based Syst., 2017

Volume, variety and velocity in Data Science.
Knowl. Based Syst., 2017

Can classification performance be predicted by complexity measures? A study using microarray data.
Knowl. Inf. Syst., 2017

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.
Int. J. Intell. Syst., 2017

On the use of feature selection to improve the detection of sea oil spills in SAR images.
Comput. Geosci., 2017

Exploring the consequences of distributed feature selection in DNA microarray data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Paving the way for providing teaching feedback in automatic evaluation of open response assignments.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A distributed approach for classification using distance metrics.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

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

Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Algorithmic challenges in big data analytics.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Data discretization: taxonomy and big data challenge.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2016

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

Feature selection for high-dimensional data.
Prog. Artif. Intell., 2016

Multithreaded and Spark parallelization of feature selection filters.
J. Comput. Sci., 2016

A comparison of performance of K-complex classification methods using feature selection.
Inf. Sci., 2016

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

An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR, 2016

Using a feature selection ensemble on DNA microarray datasets.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Data complexity measures for analyzing the effect of SMOTE over 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

Machine learning for medical applications.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Using Data Complexity Measures for Thresholding in Feature Selection Rankers.
Proceedings of the Advances in Artificial Intelligence, 2016

Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Real-Time Tear Film Classification Through Cost-Based Feature Selection.
Trans. Comput. Collect. Intell., 2015

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

A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments.
Knowl. Based Syst., 2015

Recent advances and emerging challenges of feature selection in the context of big data.
Knowl. Based Syst., 2015

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

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

Distributed feature selection: An application to microarray data classification.
Appl. Soft Comput., 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

Ensemble Feature Selection for Rankings of Features.
Proceedings of the Advances in Computational Intelligence, 2015

A Distributed Feature Selection Approach Based on a Complexity Measure.
Proceedings of the Advances in Computational Intelligence, 2015

An insight on complexity measures and classification in microarray data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Including Content-Based Methods in Peer-Assessment of Open-Response Questions.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Learning features on tear film lipid layer classification.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

A Time Efficient Approach for Distributed Feature Selection Partitioning by Features.
Proceedings of the Advances in Artificial Intelligence, 2015

Feature Selection for High-Dimensional Data
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-3-319-21858-8, 2015

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

A framework for cost-based feature selection.
Pattern Recognit., 2014

A review of microarray datasets and applied feature selection methods.
Inf. Sci., 2014

Data classification using an ensemble of filters.
Neurocomputing, 2014

Scalability Analysis of mRMR for Microarray Data.
Proceedings of the ICAART 2014, 2014

mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection.
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

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 review of feature selection methods on synthetic data.
Knowl. Inf. Syst., 2013

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

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

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

A distributed wrapper approach for feature selection.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 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

An ensemble of filters and classifiers for microarray data classification.
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

Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 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

Combining functional networks and sensitivity analysis as wrapper method for feature selection.
Expert Syst. Appl., 2011

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

Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset.
Expert Syst. Appl., 2011

Reducing dimensionality in a database of sleep EEG arousals.
Expert Syst. Appl., 2011

Toward an ensemble of filters for classification.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 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

On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Statistical dependence measure for feature selection in microarray datasets.
Proceedings of the ESANN 2011, 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

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

Multiclass classifiers vs multiple binary classifiers using filters for feature selection.
Proceedings of the International Joint Conference on Neural Networks, 2010

On the effectiveness of discretization on gene selection of microarray data.
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

2009
Feature Selection.
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

Conversion methods for symbolic features: A comparison applied to an intrusion detection problem.
Expert Syst. Appl., 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 Wrapper Method for Feature Selection in Multiple Classes Datasets.
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

A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset.
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

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
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition.
Neural Comput., 2007

A Misuse Detection Agent for Intrusion Detection in a Multi-agent Architecture.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007

Filter Methods for Feature Selection - A Comparative Study.
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

An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition.
Proceedings of the Artificial Neural Networks, 2007

Classification of computer intrusions using functional networks. A comparative study.
Proceedings of the ESANN 2007, 2007

Feature Selection Based on Sensitivity Analysis.
Proceedings of the Current Topics in Artificial Intelligence, 2007

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

Functional Networks and Analysis of Variance for Feature Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

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

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

a new wrapper method for feature subset selection.
Proceedings of the ESANN 2005, 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

Recovering Missing Data with Functional and Bayesian Networks.
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

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

2000
Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images.
Image Vis. Comput., 2000

1999
Applying statistical, uncertainty-based and connectionist approaches to the prediction of fetal outcome: a comparative study.
Artif. Intell. Medicine, 1999

Prepossessing of Radiological Images: Comparison of the Application of Polynomic Algorithms and Artificial Neural Networks to the Elimination of Variations in Background Luminosity.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

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
Information analysis and validation of intelligent monitoring systems in intensive care units.
IEEE Trans. Inf. Technol. Biomed., 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

A Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques.
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

1990
Towards the implementation of intelligent structures in intensive care monitoring: the advantages of the symbolic pre-processing.
Proceedings of the 28th Annual Southeast Regional Conference, 1990

1989
FOETOS in clinical practice: A retrospective analysis of its performance.
Artif. Intell. Medicine, 1989


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