Evolutionary prototype selection for multi-output regression
A machine-learning based solution for chatter prediction in heavy-dutymilling machines
How do B-Learning and learning patterns influence learning outcomes?
On feature selection protocols for very low-sample-size data
A taxonomic look at instance-based stream classifiers
Combining univariate approaches for ensemble change detection in multivariate data
Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components
New strategy for the optimal design and manufacture of high performance milling heads
Restricted set classification: Who is there?
An SVM-based solution for fault detection in wind turbines
A vrtual sensor for online fault detection of multitooth-tools
Modelling laser milling of microcavities for the manufacturing of DES with ensembles
Instance selection of linear complexity for big data