Álvar Arnaiz-González

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Regression Forests

Experimental Evaluation

Instance Selection

Top Venues

Expert Syst. Appl.

Prog. Artif. Intell.

Publications

Ismael Ramos-Pérez, José Antonio Barbero-Aparicio, Antonio Canepa-Oneto, Álvar Arnaiz-González, Jesús Manuel Maudes Raedo
An Extensive Performance Comparison between Feature Reduction and Feature Selection Preprocessing Algorithms on Imbalanced Wide Data. Inf. 15 (4) (2024)
José Miguel Ramírez-Sanz, Helia Marina Peña-Alonso, Ana Serrano Mamolar, Álvar Arnaiz-González, Andrés Bustillo
Detection of Stress Stimuli in Learning Contexts of iVR Environments. XR (2) (2023)
Juan José Rodríguez, Mario Juez-Gil, Carlos López Nozal, Álvar Arnaiz-González
Rotation Forest for multi-target regression. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Ismael Ramos-Pérez, Álvar Arnaiz-González, Juan José Rodríguez, César García-Osorio
When is resampling beneficial for feature selection with imbalanced wide data? Expert Syst. Appl. 188 (2022)
Juan José Rodríguez, Mario Juez-Gil, Carlos López Nozal, Álvar Arnaiz-González
Correction to: Rotation Forest for multi-target regression. Int. J. Mach. Learn. Cybern. 13 (2) (2022)
Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez, César García-Osorio
Experimental evaluation of ensemble classifiers for imbalance in Big Data. Appl. Soft Comput. 108 (2021)
Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez, Carlos López Nozal, César García-Osorio
Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark. Neurocomputing 464 (2021)
Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez Diez, Carlos López Nozal, César García-Osorio
Rotation Forest for Big Data. Inf. Fusion 74 (2021)
Juan José Rodríguez, Mario Juez-Gil, Álvar Arnaiz-González, Ludmila I. Kuncheva
An experimental evaluation of mixup regression forests. Expert Syst. Appl. 151 (2020)
Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan José Rodríguez
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale. CoRR (2020)
Juan José Rodríguez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, Ludmila I. Kuncheva
Random Balance ensembles for multiclass imbalance learning. Knowl. Based Syst. 193 (2020)
Miroslaw Kordos, Álvar Arnaiz-González, César García-Osorio
Evolutionary prototype selection for multi-output regression. Neurocomputing 358 (2019)
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn
Instance selection improves geometric mean accuracy: a study on imbalanced data classification. Prog. Artif. Intell. 8 (2) (2019)
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification. CoRR (2018)
Iain A. D. Gunn, Álvar Arnaiz-González, Ludmila I. Kuncheva
A taxonomic look at instance-based stream classifiers. Neurocomputing 286 (2018)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Ismael Ramos-Pérez, César García-Osorio
Seshat - a web-based educational resource for teaching the most common algorithms of lexical analysis. Comput. Appl. Eng. Educ. 26 (6) (2018)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning. Expert Syst. Appl. 109 (2018)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio
Local sets for multi-label instance selection. Appl. Soft Comput. 68 (2018)
Álvar Arnaiz-González, Alejandro González-Rogel, José-Francisco Díez-Pastor, Carlos López Nozal
MR-DIS: democratic instance selection for big data by MapReduce. Prog. Artif. Intell. 6 (3) (2017)
Álvar Arnaiz-González, Alejandro González-Rogel, Carlos López Nozal
MR-DIS - A Scalable Instance Selection Algorithm using MapReduce on Spark. ERCIM News 2017 (108) (2017)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
Instance selection for regression by discretization. Expert Syst. Appl. 54 (2016)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
Random feature weights for regression trees. Prog. Artif. Intell. 5 (2) (2016)
Álvar Arnaiz-González, Marcin Blachnik, Miroslaw Kordos, César Ignacio García-Osorio
Fusion of instance selection methods in regression tasks. Inf. Fusion 30 (2016)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio
Instance selection of linear complexity for big data. Knowl. Based Syst. 107 (2016)
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
Instance selection for regression: Adapting DROP. Neurocomputing 201 (2016)
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, César Ignacio García-Osorio
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees. MCS (2015)