Amparo Alonso-Betanzos
Orcid: 0000-0003-0950-0012Affiliations:
- University of A Coruña, Spain
According to our database1,
Amparo Alonso-Betanzos
authored at least 185 papers
between 1989 and 2024.
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Bibliography
2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models.
CoRR, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
Intell. Data Anal., 2023
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability.
CoRR, 2023
Agent-Based Model: Simulating a Virus Expansion Based on the Acceptance of Containment Measures.
CoRR, 2023
2022
Low-precision feature selection on microarray data: an information theoretic approach.
Medical Biol. Eng. Comput., 2022
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning.
Inf. Sci., 2022
Neurocomputing, 2022
CoRR, 2022
CoRR, 2022
Machine learning techniques to predict different levels of hospital care of CoVid-19.
Appl. Intell., 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022
Proceedings of the Advances in Selected Artificial Intelligence Areas, 2022
2021
Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Dealing with heterogeneity in the context of distributed feature selection for classification.
Knowl. Inf. Syst., 2021
Int. J. Intell. Syst., 2021
Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data.
Proceedings of the Advances in Computational Intelligence, 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
Knowl. Based Syst., 2020
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
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
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Distributed classification based on distances between probability distributions in feature space.
Inf. Sci., 2019
Inf. Sci., 2019
Inf. Fusion, 2019
Decis. Support Syst., 2019
2018
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
Knowl. Inf. Syst., 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Prog. Artif. Intell., 2017
Neural Process. Lett., 2017
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
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
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
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
WIREs Data Mining Knowl. Discov., 2016
Pattern Recognit. Lett., 2016
J. Comput. Sci., 2016
A comparison of performance of K-complex classification methods using feature selection.
Inf. Sci., 2016
Expert Syst. Appl., 2016
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
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
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
Inf. Sci., 2015
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.
Comput. Methods Programs Biomed., 2015
Appl. Soft Comput., 2015
Proceedings of the Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
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
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-3-319-21858-8, 2015
2014
IEEE J. Biomed. Health Informatics, 2014
Inf. Sci., 2014
Proceedings of the ICAART 2014, 2014
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
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
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Expert Syst. Appl., 2013
Proceedings of the Advances in Computational Intelligence, 2013
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
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
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
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
Neurocomputing, 2011
Combining functional networks and sensitivity analysis as wrapper method for feature selection.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset.
Expert Syst. Appl., 2011
Expert Syst. Appl., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
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
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
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
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
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Int. J. Intell. Inf. Database Syst., 2009
Conversion methods for symbolic features: A comparison applied to an intrusion detection problem.
Expert Syst. Appl., 2009
Proceedings of the 7th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
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
Proceedings of the Artificial Neural Networks, 2009
2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition.
Neural Comput., 2007
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2007
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 15th European Symposium on Artificial Neural Networks, 2007
Proceedings of the Current Topics in Artificial Intelligence, 2007
2006
J. Mach. Learn. Res., 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
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
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 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
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Accelerating the convergence speed of neural networks learning methods using least squares.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the Artificial Intelligence in Medicine, 2003
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
Proceedings of the Artificial Neural Networks, 2002
A Neural Network Approach for Forestal Fire Risk Estimation.
Proceedings of the 15th European 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
IEEE Trans. Neural Networks, 2001
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
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
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
Artif. Intell. Medicine, 1989