508 citations · 1.1k across the 13 of their papers we have counts for
8 papers · 1 filter
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges (with Appendices on Mathematical Background and Detailed Algorithms Explanation)
Juan Luis Suárez-Díaz, Salvador García, Francisco Herrera
Distance metric learning is a branch of machine learning that aims to learn distances from the data, which enhances the performance of similarity-based algorithms. This tutorial pr…
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods
David Charte, Francisco Charte, Salvador García +1
Machine learning is a field which studies how machines can alter and adapt their behavior, improving their actions according to the information they are given. This field is subdiv…
Monotonic classification: an overview on algorithms, performance measures and data sets
José-Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk +2
Currently, knowledge discovery in databases is an essential step to identify valid, novel and useful patterns for decision making. There are many real-world scenarios, such as bank…
Label Noise Filtering Techniques to Improve Monotonic Classification
José-Ramón Cano, Julián Luengo, Salvador García
The monotonic ordinal classification has increased the interest of researchers and practitioners within machine learning community in the last years. In real applications, the prob…
DPASF: A Flink Library for Streaming Data preprocessing
Alejandro Alcalde-Barros, Diego García-Gil, Salvador García +1
Data preprocessing techniques are devoted to correct or alleviate errors in data. Discretization and feature selection are two of the most extended data preprocessing techniques. A…
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala
M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez +1
Ordinal Data are those where a natural order exist between the labels. The classification and pre-processing of this type of data is attracting more and more interest in the area o…
BELIEF: A distance-based redundancy-proof feature selection method for Big Data
Sergio Ramírez-Gallego, Salvador García, Ning Xiong +1
With the advent of Big Data era, data reduction methods are highly demanded given its ability to simplify huge data, and ease complex learning processes. Concretely, algorithms tha…
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
David Charte, Francisco Charte, Salvador García +2
Many of the existing machine learning algorithms, both supervised and unsupervised, depend on the quality of the input characteristics to generate a good model. The amount of these…