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Juez-Gil, Mario; Erdakov, Ivan Nikolaevich; Bustillo, Andrés; Pimenov, Danil Yurievich

A regression-tree multilayer-perceptron hybrid strategy for the prediction of ore crushing-plate lifetimes Journal Article

In: Journal of Advanced Research, vol. July 2019, no. 18, pp. 173-184, 2019, ISSN: 2090-1232.

Abstract | Links | BibTeX | Tags: Artificial intelligence, Hadfield steel, Lifetime prediction, Multi-layer perceptrons, Regression trees, Resource savings


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

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


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, vol. 91, no. 1, pp. 879–893, 2017, ISSN: 1433-3015.

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


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