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Amparo Alonso-Betanzos

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

86

Venues

16

Active years

1997–2026

Best venue rank

A*

Where they publish

Papers

86 indexed papers, newest first.

YearVenueTitleAuthors
2026ESANNSMOTE k-out: Enhancing Class Separability through Outer Synthetic Sampling.Vernica Boln-Canedo, Jos Luis Morillo-Salas, Laura Morn-Fernndez, Amparo Alonso-Betanzos
2026ESANNFedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments.Alejandro Dopico-Castro, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Ivn Prez Dign
2025GECCORethinking Efficiency in Machine Learning.Amparo Alonso-Betanzos
2025ICANNSustainable Techniques to Improve Data Quality for Training Image-Based Explanatory Models for Recommender Systems.Jorge Paz-Ruza, David Esteban Martnez, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias
2025ICPRAMEmpowering AI Through Frugality.Amparo Alonso-Betanzos
2025IJCNNPredictively Combatting Toxicity in Health-related Online Discussions through Machine Learning.Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Carlos Eiras-Franco
2025IWANNQuantitative and Qualitative Evaluation on Local Explainability Models for Anomaly Detection Algorithms.David Esteban Martnez, Carlos Eiras-Franco, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos
2024ESANNAI-based algorithm for intrusion detection on a real dataset.David Esteban Martnez, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos, Elena Hernndez-Pereira, Alejandro Esteban Martnez
2024KESAgent-based model to assess public acceptance of an energy sustainability project in the island of El Hierro.Alejandro Rodrguez-Arias, Noelia Snchez-Maroo, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos
2023ESANNGreen Machine Learning.Vernica Boln-Canedo, Laura Morn-Fernndez, Brais Cancela, Amparo Alonso-Betanzos
2023ESANNAutomated green machine learning for condition-based maintenance.Afonso Loureno, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Vernica Boln-Canedo, Amparo Alonso-Betanzos
2022KESSustainable Personalisation and Explainability in Dyadic Data Systems.Jorge Paz-Ruza, Carlos Eiras-Franco, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos
2022KESHow Agent-based modeling can help to foster sustainability projects.Noelia Snchez-Maroo, Alejandro Rodrguez-Arias, Adina Dumitru, Isabel Lema-Blanco, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos
2021IWANNGenerating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data.Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Alejandro Rodrguez-Arias, Noelia Snchez-Maroo
2020ESANNDo we need hundreds of classifiers or a good feature selection?Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos
2020ICPRA delayed Elastic-Net approach for performing adversarial attacks.Brais Cancela, Vernica Boln-Canedo, Amparo Alonso-Betanzos
2020ICPRCan data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss.Brais Cancela, Vernica Boln-Canedo, Amparo Alonso-Betanzos
2018ESANNAnalysis of imputation bias for feature selection with missing data.Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Vernica Boln-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed
2017ESANNAlgorithmic challenges in big data analytics.Vernica Boln-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martnez-Rego, Amparo Alonso-Betanzos
2017ESANNScalable approximate k-NN Graph construction based on Locality Sensitive Hashing.Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martnez-Rego
2017ESANNMutual information for improving the efficiency of the SCH algorithm.Diego Fernndez-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown
2017ESANNA distributed approach for classification using distance metrics.Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos
2017IJCNNPaving the way for providing teaching feedback in automatic evaluation of open response assignments.Vernica Boln-Canedo, Jorge Dez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos
2017IJCNNExploring the consequences of distributed feature selection in DNA microarray data.Vernica Boln-Canedo, Konstantinos Sechidis, Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Gavin Brown
2016ESANNMachine learning for medical applications.Vernica Boln-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurlio Campilho
2016ESANNOne-class classification algorithm based on convex hull.Diego Fernndez-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2016ESANNData complexity measures for analyzing the effect of SMOTE over microarrays.Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos
2016ESANNUsing a feature selection ensemble on DNA microarray datasets.Borja Seijo-Pardo, Vernica Boln-Canedo, Amparo Alonso-Betanzos
2015ESANNOn the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment.Vernica Boln-Canedo, Alba Fernndez, Amparo Alonso-Betanzos, Marcos Ortega, Manuel G. Penedo
2015ESANNLearning features on tear film lipid layer classification.Beatriz Remeseiro, Vernica Boln-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo
2015ICDMIncluding Content-Based Methods in Peer-Assessment of Open-Response Questions.Oscar Luaces, Jorge Dez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
2015IJCNNAn insight on complexity measures and classification in microarray data.Vernica Boln-Canedo, Laura Moran-Fernandez, Amparo Alonso-Betanzos
2015IWANNA Distributed Feature Selection Approach Based on a Complexity Measure.Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos
2015IWANNEnsemble Feature Selection for Rankings of Features.Borja Seijo-Pardo, Vernica Boln-Canedo, Iago Porto-Daz, Amparo Alonso-Betanzos
2015PAAMSDesigning Decision Trees for Representing Sustainable Behaviours in Agents.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, J. Gareth Polhill, Tony Craig
2014ECAIInfluence of internal values and social networks for achieving sustainable organizations.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Nez, J. Gareth Polhill, Tony Craig
2014ESANNModeling consumption of contents and advertising in online newspapers.Iago Porto-Daz, David Martnez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2014ICAARTLearning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification.Vernica Boln-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Noelia Snchez-Maroo
2014ICAARTmC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection.Vernica Boln-Canedo, Beatriz Remeseiro, Noelia Snchez-Maroo, Amparo Alonso-Betanzos
2014ICAARTScalability Analysis of mRMR for Microarray Data.Diego Rego-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos
2013ESANNA distributed wrapper approach for feature selection.Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos
2013IWANNA Decision-Making Model for Environmental Behavior in Agent-Based Modeling.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Miguel Rodrguez-Garca, Gary Polhill, Tony Craig
2012ESANNOne-class classifier based on extreme value statistics.David Martnez-Rego, Evan Kriminger, Jos C. Prncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2012ICTAIInterferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test.Vernica Boln-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Antonio Mosquera Gonzlez, Manuel G. Penedo, Noelia Snchez-Maroo
2012PAAMSAn Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Vernica Boln-Canedo, Nicholas Mark Gotts, J. Gareth Polhill, Tony Craig, R. Garca-Mira
2011ESANNStatistical dependence measure for feature selection in microarray datasets.Vernica Boln-Canedo, Sohan Seth, Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Jos C. Prncipe
2011IJCNNOn the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios.Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos
2011IJCNNPower wind mill fault detection via one-class ν-SVM vibration signal analysis.David Martnez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011ISDAToward an ensemble of filters for classification.Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos
2010ICANNFault Prognosis of Mechanical Components Using On-Line Learning Neural Networks.David Martnez-Rego, Oscar Fontenla-Romero, Beatriz Prez-Snchez, Amparo Alonso-Betanzos
2010ICANNLocal Modeling Classifier for Microarray Gene-Expression Data.Iago Porto-Daz, Vernica Boln-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2010IJCNNOn the effectiveness of discretization on gene selection of microarray data.Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos
2010IJCNNMulticlass classifiers vs multiple binary classifiers using filters for feature selection.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Pablo Garcia-Gonzalez, Vernica Boln-Canedo
2010KESA Log Analyzer Agent for Intrusion Detection in a Multi-Agent System.Iago Porto-Daz, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2009ICANNCombining Feature Selection and Local Modelling in the KDD Cup 99 Dataset.Iago Porto-Daz, David Martnez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2009IJCNNA combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset.Vernica Boln-Canedo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos
2009IJCNNA new supervised local modelling classifier based on information theory.David Martnez-Rego, Oscar Fontenla-Romero, Iago Porto-Daz, Amparo Alonso-Betanzos
2009IWANNA Wrapper Method for Feature Selection in Multiple Classes Datasets.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Rosa M. Calvo-Estvez
2009PAAMSA JADE-Based Framework for Developing Evolutionary Multi-Agent Systems.Bertha Guijarro-Berdias, Amparo Alonso-Betanzos, Silvia Lpez-Lpez, Santiago Fernndez-Lorenzo, David Alonso-Ros
2008ESANNA Regularized Learning Method for Neural Networks Based on Sensitivity Analysis.Bertha Guijarro-Berdias, Oscar Fontenla-Romero, Beatriz Prez-Snchez, Amparo Alonso-Betanzos
2008ESANNA Method for Time Series Prediction using a Combination of Linear Models.David Martnez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2007ESANNClassification of computer intrusions using functional networks. A comparative study.Amparo Alonso-Betanzos, Noelia Snchez-Maroo, Flix M. Carballal-Fortes, Juan A. Surez-Romero, Beatriz Prez-Snchez
2007ICANNAn Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Beatriz Prez-Snchez
2007IDEALA Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks.Yuridia Gago-Pallares, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2007IDEALFilter Methods for Feature Selection - A Comparative Study.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Mara Tombilla-Sanromn
2006IDEALA Fast Classification Algorithm Based on Local Models.Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2006IDEALFunctional Networks and Analysis of Variance for Feature Selection.Noelia Snchez-Maroo, Mara Caamao-Fernndez, Enrique F. Castillo, Amparo Alonso-Betanzos
2005ESANNa new wrapper method for feature subset selection.Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Enrique F. Castillo
2005ICANNModelling Engineering Problems Using Dimensional Analysis for Feature Extraction.Noelia Snchez-Maroo, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos
2004ESANNShear strength prediction using dimensional analysis and functional networks.Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Snchez-Maroo
2003AIMEA Bayesian Neural Network Approach for Sleep Apnea Classification.Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos, Ana del Roco Fraga-Iglesias, Vicente Moret-Bonillo
2003ESANNRecursive Least Squares for an Entropy Regularized MSE Cost Function.Deniz Erdogmus, Yadunandana N. Rao, Jos Carlos Prncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2003ESANNAccelerating the convergence speed of neural networks learning methods using least squares.Oscar Fontenla-Romero, Deniz Erdogmus, Jos Carlos Prncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003ESANNSelf-organizing maps and functional networks for local dynamic modeling.Noelia Snchez-Maroo, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias
2003ICANNLinear Least-Squares Based Methods for Neural Networks Learning.Oscar Fontenla-Romero, Deniz Erdogmus, Jos Carlos Prncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003IJCNNAccurate initialization of neural network weights by backpropagation of the desired response.Deniz Erdogmus, Oscar Fontenla-Romero, Jos C. Prncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen
2003IWANNRecovering Missing Data with Functional and Bayesian Networks.Enrique F. Castillo, Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Carmen Castillo
2003IWANNA New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function.Juan A. Surez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos
2002ECAIA Neural Network Approach for Forestal Fire Risk Estimation.Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Elena Hernndez-Pereira, Juan Canda, Eulogio Jimenez, Jose Luis Legido, Susana Muiz, Cristina Paz-Andrade, Maria Inmaculada Paz-Andrade
2002ICANNLocal Modeling Using Self-Organizing Maps and Single Layer Neural Networks.Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, Jos Carlos Prncipe, Bertha Guijarro-Berdias
2001IWANNA Measure of Noise Immunity for Functional Networks.Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos
2001IWANNAn Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns.Bertha Guijarro-Berdias, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Snchez-Maroo
2001IWANNA Functional-Neural Network for Post-Nonlinear Independent Component Analysis.Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos
1999IWANNPrepossessing of Radiological Images: Comparison of the Application of Polynomic Algorithms and Artificial Neural Networks to the Elimination of Variations in Background Luminosity.Bernardino Arcay Varela, Amparo Alonso-Betanzos, Alfonso Castro Martnez, Concepsin Seijo Garca, Jess Suarez Bustillo
1997IWANNA Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques.Amparo Alonso-Betanzos, Eduardo Mosqueira-Rey, Beln Baldonedo del Ro
1997IWANNA Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing.Bertha Guijarro-Berdias, Amparo Alonso-Betanzos, Soledad Prados-Mndez, Olga Fernndez-Chaves, Miguel lvarez-Soane, Francisco Ucieda-Pardias