N. Sánchez-Maroño

发表

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

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

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

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

Interactions Matter: Modelling Everyday Pro-environmental Norm Transmission and Diffusion in Workplace Networks

J. Gareth Polhill, L. Steg, O. Fontenla-Romero, 2017 .

REPORT ON THE CONCEPTUAL MODEL OF THE SMARTEES SIMULATION AND DATA TYPES TO BE INCLUDED

J. Gareth Polhill, W. Jager, Amparo Alonso-Betanzos, 2018 .

ESANN 2011 19th European Symposium on Artificial Neural Networks

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Jose C. Principe, 2011 .

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.

A comparison of performance of K-complex classification methods using feature selection

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2016, Inf. Sci..

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

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

Filter Methods for Feature Selection - A Comparative Study

Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, María Tombilla-Sanromán, 2007, IDEAL.

A Review of Microarray Datasets: Where to Find Them and Specific Characteristics.

Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, 2019, Methods in molecular biology.

A review of microarray datasets and applied feature selection methods

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, 2014, Inf. Sci..

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).

Recent advances and emerging challenges of feature selection in the context of big data

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2015, Knowl. Based Syst..

Introduction to High-Dimensionality

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2015 .

A review of feature selection methods on synthetic data

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2013, Knowledge and Information Systems.

One-Class Classification for Microarray Datasets with Feature Selection

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

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

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

Feature Selection for High-Dimensional Data

Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, 2015, Artificial Intelligence: Foundations, Theory, and Algorithms.

An ensemble of filters and classifiers for microarray data classification

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2012, Pattern Recognit..

On the effectiveness of discretization on gene selection of microarray data

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Feature selection for high-dimensional data

Amparo Alonso-Betanzos, N. Sánchez-Maroño, V. Bolón-Canedo, 2015, Progress in Artificial Intelligence.

Distributed feature selection: An application to microarray data classification

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2015, Appl. Soft Comput..

Data classification using an ensemble of filters

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2014, Neurocomputing.

A framework for cost-based feature selection

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2014, Pattern Recognit..

A Methodology for Improving Tear Film Lipid Layer Classification

Beatriz Remeseiro, Verónica Bolón-Canedo, Manuel G. Penedo, 2014, IEEE Journal of Biomedical and Health Informatics.

Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2011, Expert Syst. Appl..

A unified pipeline for online feature selection and classification

Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño, 2016, Expert Syst. Appl..

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

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

Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition

Amparo Alonso-Betanzos, Enrique F. Castillo, Noelia Sánchez-Maroño, 2007, Neural Computation.

Agent-Based Modeling of Sustainable Behaviors

J. Gareth Polhill, J. Bajo, J. Corchado, 2017 .

Reducing dimensionality in a database of sleep EEG arousals

Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Diego Álvarez-Estévez, 2011, Expert Syst. Appl..

Simulation model implementing different relevant layers of social innovation, human choice behaviour and habitual structures

N. Sánchez-Maroño, C. Klöckner, Bertha Guijarro, 2019 .

Scaling Up Feature Selection: A Distributed Filter Approach

Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Joana Cerviño-Rabuñal, 2013, CAEPIA.

An Intelligent and Collaborative Multiagent System in a 3D Environment

Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias, 2020, Proceedings.

A Distributed Feature Selection Approach Based on a Complexity Measure

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2015, IWANN.

On the analysis of local and global features for hyperemia grading

Antonio Mosquera González, Noelia Barreira, Hugo Pena-Verdeal, 2017, International Conference on Machine Vision.

On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings

Antonio Mosquera González, Noelia Sánchez-Maroño, Carlos García-Resúa, 2016, Artif. Intell. Medicine.

Multiclass classifiers vs multiple binary classifiers using filters for feature selection

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A Critical Review of Feature Selection Methods

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2015 .

Machine learning models to search relevant genetic signatures in clinical context

Rafael Marcos Luque Baena, Daniel Urda, Noelia Sánchez-Maroño, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test

Beatriz Remeseiro, Verónica Bolón-Canedo, Manuel G. Penedo, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

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

J. Gareth Polhill, O. Fontenla-Romero, Amparo Alonso-Betanzos, 2015, Neural Processing Letters.

Designing Decision Trees for Representing Sustainable Behaviours in Agents

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

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

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

On the scalability of feature selection methods on high-dimensional data

Amparo Alonso-Betanzos, N. Sánchez-Maroño, V. Bolón-Canedo, 2017, Knowledge and Information Systems.

On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2011, The 2011 International Joint Conference on Neural Networks.

A New Wrapper Method for Feature Subset Selection

Amparo Alonso-Betanzos, Enrique F. Castillo, Noelia Sánchez-Maroño, 2005, ESANN.

Feature Selection for High-Dimensional Data

N. Sánchez-Maroño, A. Alonso-Betanzos, V. Bolón-Canedo, 2015, Artificial Intelligence: Foundations, Theory, and Algorithms.

Insights into distributed feature ranking

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown, 2019, Inf. Sci..

Up-to-Date Feature Selection Methods for Scalable and Efficient Machine Learning

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2013 .

Toward parallel feature selection from vertically partitioned data

Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Joana Cerviño-Rabuñal, 2014, ESANN.

Toward the scalability of neural networks through feature selection

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, 2013, Expert Syst. Appl..

Scalability Analysis of ANN Training Algorithms with Feature Selection

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, 2011, CAEPIA.

Classification of Microarray Data.

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

A Wrapper Method for Feature Selection in Multiple Classes Datasets

Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Rosa M. Calvo-Estévez, 2009, IWANN.

Feature selection for high-dimensional data

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2016, Progress in Artificial Intelligence.

Feature Selection

Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, 2009, Encyclopedia of Artificial Intelligence.

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

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

Influence of internal values and social networks for achieving sustainable organizations

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

Distributed feature selection: An application to microarray data classification

Amparo Alonso-Betanzos, N. Sánchez-Maroño, V. Bolón-Canedo, 2015, Appl. Soft Comput..

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

Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, 2011, Expert Syst. Appl..

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

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2009, 2009 International Joint Conference on Neural Networks.

A distributed wrapper approach for feature selection

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, 2013, ESANN.

Statistical dependence measure for feature selection in microarray datasets

Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Carlos Príncipe, 2011, ESANN.