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Artículos ADMIRABLE: Envíos recientes

Experimental evaluation of ensemble classifiers for imbalance in Big Data ﻿

Early and extremely early multi-label fault diagnosis in induction motors ﻿

Random Balance ensembles for multiclass imbalance learning ﻿

High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning ﻿

Using ensembles for accurate modelling of manufacturing processes in an IoT data-acquisition solution ﻿

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

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 ﻿

Instance selection of linear complexity for big data ﻿

Experimental evaluation of ensemble classifiers for imbalance in Big Data

Early and extremely early multi-label fault diagnosis in induction motors

Random Balance ensembles for multiclass imbalance learning

High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning

Using ensembles for accurate modelling of manufacturing processes in an IoT data-acquisition solution

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

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

Instance selection of linear complexity for big data