Noelia Sánchez-Maroño

According to our database1, Noelia Sánchez-Maroño authored at least 62 papers between 2001 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2020
A FIPA-ACL based communication utility for Unity.
Proceedings of the 29th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2020

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

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

Feature selection for label ranking.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017
Machine learning models to search relevant genetic signatures in clinical context.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

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

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

On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings.
Artif. Intell. Medicine, 2016

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

On the analysis of feature selection techniques in a conjunctival hyperemia grading framework.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 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

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

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

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

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

Toward parallel feature selection from vertically partitioned data.
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 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

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

Scaling Up Feature Selection: A Distributed Filter Approach.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
An ensemble of filters and classifiers for microarray data classification.
Pattern Recognit., 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

2011
Combining functional networks and sensitivity analysis as wrapper method for feature selection.
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

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
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

A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Feature Selection.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A Wrapper Method for Feature Selection in Multiple Classes Datasets.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 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

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

Filter Methods for Feature Selection - A Comparative Study.
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
Functional Networks and Analysis of Variance for Feature Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

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

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

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

2003
Recovering Missing Data with Functional and Bayesian Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

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

2001
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns.
Proceedings of the Bio-inspired Applications of Connectionism, 2001


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