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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, 151 (113376), 2020, ISSN: 0957-4174.

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


Oleaga, Ibone; Pardo, Carlos; Zulaika, Juan J; Bustillo, Andres

A machine-learning based solution for chatter prediction in heavy-duty milling machines Journal Article

In: Measurement, 128 , pp. 34 - 44, 2018, ISSN: 0263-2241.

Abstract | Links | BibTeX | Tags: Chatter, Milling, Polar diagrams, Random forest, Regression trees, Vibrations

Pimenov, Yu. D; Bustillo, A; Mikolajczyk, T

Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth Journal Article

In: Journal of Intelligent Manufacturing, 29 (5), pp. 1045–1061, 2018, ISSN: 1572-8145.

Abstract | Links | BibTeX | Tags: Cutting power, Face milling Wear, Processing time, Random forest, surface roughness


Maudes, Jesus; Bustillo, Andrés; Guerra, Antonio J; Ciurana, Joaquim

Random Forest ensemble prediction of stent dimensions in microfabrication processes Journal Article

In: The International Journal of Advanced Manufacturing Technology, 91 (1), pp. 879–893, 2017, ISSN: 1433-3015.

Abstract | Links | BibTeX | Tags: Data Mining, Ensembles of regressors, Random forest, Regression trees, Stents Laser machining


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

Tree ensemble construction using a GRASP-based heuristic and annealed randomness Journal Article

In: Information Fusion, 20 (0), pp. 189–202, 2014, ISSN: 1566-2535.

Abstract | Links | BibTeX | Tags: Boosting, Classifier ensembles, Data Mining, Decision trees, Ensemble methods, GRASP metahuristic, Random forest


Maudes, Jesús; Rodríguez, Juan José; García-Osorio, César; García-Pedrajas, Nicolás

Random Feature Weights for Decision Tree Ensemble Construction Journal Article

In: Information Fusion, 13 (1), pp. 20-30, 2012, ISSN: 1566-2535.

Links | BibTeX | Tags: Bagging, Boosting, Classifier ensembles, Data Mining, Decision trees, Ensemble methods, Random forest