Álvar Arnaiz-González
Cited by
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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
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
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
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: Adapting DROP
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Neurocomputing 201, 66-81, 2016
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
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
Local sets for multi-label instance selection
Á Arnaiz-González, JF Diez-Pastor, JJ Rodriguez, C Garcia-Osorio
Applied Soft Computing 68, 651-666, 2018
Random Balance ensembles for multiclass imbalance learning
JJ Rodriguez, JF Diez-Pastor, A Arnaiz-Gonzalez, LI Kuncheva
Knowledge-Based Systems 193, 105434, 2020
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
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
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
Evolutionary prototype selection for multi-output regression
M Kordos, Á Arnaiz-González, C García-Osorio
Neurocomputing 358, 309-320, 2019
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
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
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
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
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Expert Systems with Applications 109, 114-130, 2018
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