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Capítulo de Libro
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach
(Springer, 2015)
This paper presents a novel procedure to apply in a sequential way two data preparation techniques from a different nature such as data cleansing and feature selection. For the former we have experienced with a partial ...
Ponencia
Deleting or Keeping Outliers for Classifier Training?
(IEEE, 2014)
This paper introduces two statistical outlier detection approaches by classes. Experiments on binary and multi-class classification problems reveal that the partial removal of outliers improves significantly one or ...
Capítulo de Libro
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures
(Springer, 2014)
This paper introduces the use of an ant colony optimization (ACO) algorithm, called Ant System, as a search method in two wellknown feature subset selection methods based on correlation or consistency measures such as ...
Ponencia
A preliminary study on deep transfer learning applied to image classification for small datasets
(Springer, 2020)
A new transfer learning strategy is proposed for image classification in this work, based on an 8-layer convolutional neural network. The transfer learning process consists in a training phase of the neural network on a ...