Álvar Arnaiz-González
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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, LNL de Lacalle
The International Journal of Advanced Manufacturing Technology 83 (5-8), 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
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 by discretization
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, CI García-Osorio
Expert Systems with Applications 54, 340-350, 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 (2), 215-228, 2019
Instance selection for regression: Adapting DROP
Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio
Neurocomputing 201, 66-81, 2016
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
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
A taxonomic look at instance-based stream classifiers
IAD Gunn, Á Arnaiz-González, LI Kuncheva
Neurocomputing 286, 167-178, 2018
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
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
Enseñanza asistida de teoría de autómatas y lenguajes formales mediante el uso de THOTH
C García-Osorio, A Arnaiz-Moreno, Á Arnaiz-González
XIII Jornadas de Enseñanza Universitaria de la Informática,(Jenui 2007), 2007
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, 2018
THOTH: A new tool for automata theory learning
C García-Osorio, Á Arnaiz-González, A Arnaiz-Moreno
International Technology, Education and Development Conference (INTED2007), 2007
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
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees
JJ Rodríguez, JF Díez-Pastor, Á Arnaiz-González, C García-Osorio
International Workshop on Multiple Classifier Systems, 181-193, 2015
Herramienta de apoyo a la docencia de algoritmos de selección de instancias
Á Arnáiz González, JF Díez Pastor, C García Osorio, JJ Rodríguez Díez
Jornadas de Enseñanza de la Informática (18es: 2012: Ciudad Real), 2012
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
Random Balance ensembles for multiclass imbalance learning
JJ Rodríguez, JF Díez-Pastor, Á Arnaiz-González, LI Kuncheva
Knowledge-Based Systems, 105434, 2019
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