Álvar Arnaiz-González
Cited by
Cited by
Effectiveness of blended learning in nursing education
MC Sáiz-Manzanares, MC Escolar-Llamazares, Á Arnaiz González
International journal of environmental research and public health 17 (5), 1589, 2020
Using artificial neural networks for the prediction of dimensional error on inclined surfaces manufactured by ball-end milling
Á Arnaiz-González, A Fernández-Valdivielso, A Bustillo, ...
The International Journal of Advanced Manufacturing Technology 83, 847-859, 2016
Instance selection of linear complexity for big data
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Knowledge-Based Systems 107, 83-95, 2016
Instance selection improves geometric mean accuracy: a study on imbalanced data classification
LI Kuncheva, Á Arnaiz-González, JF Díez-Pastor, IAD Gunn
Progress in Artificial Intelligence 8, 215-228, 2019
Fusion of instance selection methods in regression tasks
Á Arnaiz-González, M Blachnik, M Kordos, C García-Osorio
Information Fusion 30, 69-79, 2016
Instance selection for regression: Adapting DROP
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Neurocomputing 201, 66-81, 2016
Random balance ensembles for multiclass imbalance learning
JJ Rodriguez, JF Diez-Pastor, A Arnaiz-Gonzalez, LI Kuncheva
Knowledge-Based Systems 193, 105434, 2020
MR-DIS: democratic instance selection for big data by MapReduce
Á Arnaiz-González, A González-Rogel, JF Díez-Pastor, C López-Nozal
Progress in Artificial Intelligence, 1-9, 2017
Instance selection for regression by discretization
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, CI García-Osorio
Expert Systems with Applications 54, 340-350, 2016
Early and extremely early multi-label fault diagnosis in induction motors
M Juez-Gil, JJ Saucedo-Dorantes, Á Arnaiz-González, C López-Nozal, ...
ISA transactions 106, 367-381, 2020
Local sets for multi-label instance selection
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Applied Soft Computing 68, 651-666, 2018
Machine learning algorithms applied to Raman spectra for the identification of variscite originating from the mining complex of G avà
JF Díez‐Pastor, SE Jorge‐Villar, Á Arnaiz‐González, CI García‐Osorio, ...
Journal of Raman Spectroscopy 51 (9), 1563-1574, 2020
When is resampling beneficial for feature selection with imbalanced wide data?
I Ramos-Pérez, Á Arnaiz-González, JJ Rodríguez, C García-Osorio
Expert Systems with Applications 188, 116015, 2022
Approx-SMOTE: fast SMOTE for big data on apache spark
M Juez-Gil, A Arnaiz-Gonzalez, JJ Rodriguez, C Lopez-Nozal, ...
Neurocomputing 464, 432-437, 2021
Experimental evaluation of ensemble classifiers for imbalance in big data
M Juez-Gil, Á Arnaiz-González, JJ Rodríguez, C García-Osorio
Applied soft computing 108, 107447, 2021
Evaluation of functional abilities in 0–6 year olds: An analysis with the eearlycare computer application
MC Sáiz-Manzanares, R Marticorena-Sánchez, Á Arnaiz-González
International Journal of Environmental Research and Public Health 17 (9), 3315, 2020
Seshat—a web‐based educational resource for teaching the most common algorithms of lexical analysis
Á Arnaiz‐González, JF Díez‐Pastor, I Ramos‐Pérez, C García‐Osorio
Computer Applications in Engineering Education, 2018
Measuring the functional abilities of children aged 3-6 years old with observational methods and computer tools
MCS Manzanares, RM Sánchez, ÁA González, JFD Pastor, CIG Osorio
JoVE (Journal of Visualized Experiments), e60247, 2020
Feature selection from high-dimensional data with very low sample size: A cautionary tale
LI Kuncheva, CE Matthews, A Arnaiz-González, JJ Rodríguez
arXiv preprint arXiv:2008.12025, 2020
Evolutionary prototype selection for multi-output regression
M Kordos, Á Arnaiz-González, C García-Osorio
Neurocomputing 358, 309-320, 2019
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