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Juez-Gil, Mario; Arnaiz-González, Álvar; Rodríguez, Juan José; López-Nozal, Carlos; García-Osorio, César

Rotation Forest for Big Data Journal Article

In: Information Fusion, vol. 74, pp. 39-49, 2021, ISSN: 1566-2535.

Abstract | Links | BibTeX | Tags: Big data, Ensemble learning, Machine learning, Random forest, Rotation forest, Spark

Rodríguez, Juan José; Juez-Gil, Mario; López-Nozal, Carlos; Arnaiz-González, Álvar

Rotation Forest for multi-target regression Journal Article

In: International Journal of Machine Learning and Cybernetics, 2021, ISSN: 1868-808X.

Abstract | Links | BibTeX | Tags: ensemble, multi-target regression, Rotation forest


Rodríguez, Juan José; Juez-Gil, Mario; Arnaiz-González, Álvar; Kuncheva, Ludmila I

An experimental evaluation of mixup regression forests Journal Article

In: Expert Systems with Applications, vol. 151, no. 113376, 2020, ISSN: 0957-4174.

Abstract | Links | BibTeX | Tags: Mixup, Random forest, Regression, Rotation forest


Bustillo, Andres; de Lacalle, Luis López N; Fernández-Valdivielso, Asier; Santos, Pedro

Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components Journal Article

In: Journal of Computational Design and Engineering, vol. 3, no. 4, pp. 337 - 348, 2016, ISSN: 2288-4300.

Abstract | Links | BibTeX | Tags: Ensembles, Forming taps, Regression trees, Roll taps, Roll-tap wear, Rotation forest, Threading


Díez-Pastor, José Francisco; Rodríguez, Juan José; García-Osorio, César; Kuncheva, Ludmila I

Diversity techniques improve the performance of the best imbalance learning ensembles Journal Article

In: Information Sciences, vol. 325, pp. 98 - 117, 2015, ISSN: 0020-0255.

Abstract | Links | BibTeX | Tags: Class-imbalanced problems, Classifier ensembles, Data Mining, Diversity, Ensemble methods, Rotation forest, SMOTE, Undersampling


Pardo, Carlos; Díez-Pastor, José Francisco; García-Osorio, César; Rodríguez, Juan José

Rotation Forests for regression Journal Article

In: Applied Mathematics and Computation, vol. 219, no. 19, pp. 9914-9924, 2013, ISSN: 0096-3003.

Links | BibTeX | Tags: Data Mining, Regression, Rotation forest