Dra. Verónica Bolón Canedo  

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

On the use of different base classifiers in multiclass problems

Testing different ensemble con gurations for feature selection

On the use of feature selection to improve the detection of sea oil spills in SAR images

Centralized vs. distributed feature selection methods based on data complexity measures

Can classi cation performance be predicted by complexity measures? A study using microarray data.

Can classification performance be predicted by complexity measures? A study using microarray data

On the use of different base classifiers in multiclass problems

Multithreaded and Spark Parallelization of Feature Selection Filters

Ensemble feature selection: Homogeneous and heterogeneous approaches

Fast-mRMR: Fast minimum Redundancy Maximum Relevance algorithm for high-dimensional Big Data.

A uni ed pipeline for online feature selection and classi cation.

Feature selection for high-dimensional data.

Real-time tear lm classi cation through cost-based feature selection.

Data Discretization: Taxonomy and Big Data Challenge.

A comparison of performance of K-complex classifi cation methods using feature selection

A unified pipeline for online feature selection and classification

Plus disease: is it more than meets the ICROP?

Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis

Recent advances and emerging challenges in feature selection.

Distributed feature selection: An application to microarray data classification

Exploring guidelines for classi cation of major heart failure subtypes by using Machine Learning

Dealing with inter-expert variability in Retinopathy of Prematurity: a machine learning approach

Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning

A Methodology for Improving Tear Film Lipid Layer Classification

A review of microarray datasets and applied feature selection methods

Data classification using an ensemble of filters

A framework for cost-based feature selection

An insight into microarray datasets and feature selection me-thods: a framework for ongoing studies

Toward the scalability of neural networks through feature selection.

A review of feature selection methods on synthetic data

An ensemble of filters and classifiers for microarray data classification

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

On the Behavior of Feature Selection Methods Dealing with Noise and Relevance over Synthetic Scenarios

A study of performance on microarray data sets for a classifier based on information theoretic learning