Envíos recientes

Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques

Sáiz Manzanares, María Consuelo

; Marticorena Sánchez, Raúl

; Rodríguez Diez, Juan José

; Rodríguez Arribas, Sandra

; Diez Pastor, José Francisco

; Ji, Yi Peng

(2021-12, Springer)

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Experimental evaluation of ensemble classifiers for imbalance in Big Data

Juez Gil, Mario

; Arnaiz González, Álvar

; Rodríguez Diez, Juan José

; García Osorio, César

(2021-09, Elsevier)

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

Juez Gil, Mario

; Saucedo Dorantes, Juan José; Arnaiz González, Álvar

; López Nozal, Carlos

; García Osorio, César

; Lowe, David

(2020-11, Elsevier)

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Random Balance ensembles for multiclass imbalance learning

Rodríguez Diez, Juan José

; Diez Pastor, José Francisco

; Arnaiz González, Álvar

; Kuncheva, Ludmila I. .

(2020-04, Elsevier)

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

Diez Pastor, José Francisco

; Gil del Val, Alain; Veiga, Fernando; Bustillo Iglesias, Andrés

(2021-01, Elsevier)

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

Garrido Labrador, José Luis

; Puente Gabarri, Daniel; Ramírez Sanz, José Miguel

; Ayala Dulanto, David; Maudes Raedo, Jesús M.

(2020-07, MDPI)

Artículo

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

Juez Gil, Mario

; Erdakov, Ivan Nikolaevich; Bustillo Iglesias, Andrés

; Pimenov, Danil Yurievich

(2019-07, Elsevier)

Artículo

Evolutionary prototype selection for multi-output regression

Kordos, Mirosław; Arnaiz González, Álvar

; García Osorio, César

(2019, Elsevier)

Artículo

A machine-learning based solution for chatter prediction in heavy-dutymilling machines

Oleaga, Ibone .; Pardo Aguilar, Carlos

; Zulaika, Juan J. .; Bustillo Iglesias, Andrés

(2018-11, Elsevier)

Artículo

How do B-Learning and learning patterns influence learning outcomes?

Sáiz Manzanares, María Consuelo

; Marticorena Sánchez, Raúl

; García Osorio, César

; Diez Pastor, José Francisco

(2017-05, Frontiers Media)

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On feature selection protocols for very low-sample-size data

Kuncheva, Ludmila I. .; Rodríguez Diez, Juan José

(2018-09, Elsevier)

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A taxonomic look at instance-based stream classifiers

Gunn, Iain A.D. .; Arnaiz González, Álvar

; Kuncheva, Ludmila I. .

(2018-04, Elsevier)

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Combining univariate approaches for ensemble change detection in multivariate data

Faithfull, William J. .; Rodríguez Diez, Juan José

; Kuncheva, Ludmila I. .

(2019-01, Elsevier)

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

Bustillo Iglesias, Andrés

; López de Lacalle, Luis N.; Fernández Valdivielso, Asier; Santos González, Pedro

(2016-10, Elsevier)

Artículo

New strategy for the optimal design and manufacture of high performance milling heads

Bustillo Iglesias, Andrés

; Plaza, L.M.; Rodríguez, M.

(2011-11, Consejo Superior de Investigaciones Científicas)

Artículo

Restricted set classification: Who is there?

Kuncheva, Ludmila I. .; Rodríguez Diez, Juan José

; Jackson, Aaron S. .

(2017-03, Elsevier)

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An SVM-based solution for fault detection in wind turbines

Santos González, Pedro

; Villa, Luisa F.; Reñones, Anibal; Bustillo Iglesias, Andrés

; Maudes Raedo, Jesús M.

(2015-03, MDPI)

Artículo

A vrtual sensor for online fault detection of multitooth-tools

Bustillo Iglesias, Andrés

; Correa, Maritza; Reñones, Anibal

(2011-03, MDPI)

Artículo

Instance selection of linear complexity for big data

Arnaiz González, Álvar

; Diez Pastor, José Francisco

; Rodríguez Diez, Juan José

; García Osorio, César

(2016-09, Elsevier)

Artículo

Artículos ADMIRABLE: Envíos recientes

Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques ﻿

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 ﻿

Improve teaching with modalities and collaborative groups in an LMS: an analysis of monitoring using visualisation techniques

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