Álvar Arnaiz-González
Title
Cited by
Cited by
Year
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, LNL de Lacalle
The International Journal of Advanced Manufacturing Technology 83 (5-8), 847-859, 2016
742016
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
572016
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 (2), 215-228, 2019
402019
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
392020
Fusion of instance selection methods in regression tasks
Á Arnaiz-González, M Blachnik, M Kordos, C García-Osorio
Information Fusion 30, 69-79, 2016
302016
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
252017
Instance selection for regression: Adapting DROP
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Neurocomputing 201, 66-81, 2016
222016
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
222016
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
172018
Machine learning algorithms applied to R aman 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
132020
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
112020
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
102018
A taxonomic look at instance-based stream classifiers
IAD Gunn, Á Arnaiz-González, LI Kuncheva
Neurocomputing 286, 167-178, 2018
92018
Decision Trees for the prediction of environmental and agronomic effects of the use of Compost of Sewage Slugde (CSS)
D Perez-Alonso, S Peña-Tejedor, M Navarro, C Rad, Á Arnaiz-González, ...
Sustainable Production and Consumption 12, 119-133, 2017
92017
Cuestionarios de e-autoevaluación y e-feedback: una aplicación en Moodle
MCS Manzanares, MÁQ Dios, RM Sánchez, MCE Llamazares, ...
European Journal of Health Research:(EJHR) 4 (3), 135-148, 2018
82018
Random Balance ensembles for multiclass imbalance learning
JJ Rodríguez, JF Diez-Pastor, A Arnaiz-Gonzalez, LI Kuncheva
Knowledge-Based Systems 193, 105434, 2020
72020
Evolutionary prototype selection for multi-output regression
M Kordos, Á Arnaiz-González, C García-Osorio
Neurocomputing 358, 309-320, 2019
72019
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
72018
An experimental evaluation of mixup regression forests
JJ Rodríguez, M Juez-Gil, Á Arnaiz-González, LI Kuncheva
Expert Systems with Applications 151, 113376, 2020
62020
Random feature weights for regression trees
Á Arnaiz-González, JF Díez-Pastor, C García-Osorio, JJ Rodríguez
Progress in Artificial Intelligence 5 (2), 91-103, 2016
52016
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Articles 1–20