Álvar Arnaiz-González

32 papers Journal 28Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Semi-Supervised Rotation Forest.
J. Comput. Sci.
José Miguel Ramírez-Sanz, David Martínez-Acha, Álvar Arnaiz-González, César García-Osorio, Juan José Rodríguez
2025 — conf
Developing Human-Centered Intelligent Learning Systems: the application of CARAIX framework.
UMAP (Adjunct Publication)
Miguel Portaz, Angeles Manjarrés Riesco, Olga C. Santos, Raúl Cabestrero, Pilar Quirós, Mar Hermosilla, David Puertas-Ramirez, Jesus Boticario, Gadea Lucas-Pérez, Ana Serrano Mamolar, Álvar Arnaiz-González, Miguel Arevalillo-Herráez, David Arnau, Pablo Arnau-González, Raúl Fernandez-Matellan, David Martín Gómez
2025 J jnl
Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals.
CoRR
José-Francisco Díez-Pastor, Francisco Javier Gonzalez-Moya, Pedro Latorre-Carmona, Francisco Javier Perez-Barbería, Ludmila I. Kuncheva, Antonio Canepa-Oneto, Álvar Arnaiz-González, César García-Osorio
2024 J jnl
An Extensive Performance Comparison between Feature Reduction and Feature Selection Preprocessing Algorithms on Imbalanced Wide Data.
Inf.
Ismael Ramos-Pérez, José Antonio Barbero-Aparicio, Antonio Canepa-Oneto, Álvar Arnaiz-González, Jesús Manuel Maudes Raedo
2024 J jnl
Correction: Towards automatic phytolith classification using feature extraction and combination strategies.
Prog. Artif. Intell.
José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Álvar Arnaiz-González, Antonio Canepa-Oneto, Javier Ruiz-Pérez, Débora Zurro
2024 — conf
Personalising the Training Process with Adaptive Virtual Reality: A Proposed Framework, Challenges, and Opportunities.
XR (1)
Gadea Lucas-Pérez, José Miguel Ramírez-Sanz, Ana Serrano Mamolar, Álvar Arnaiz-González, Andrés Bustillo
2024 J jnl
Towards automatic phytolith classification using feature extraction and combination strategies.
Prog. Artif. Intell.
José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Álvar Arnaiz-González, Antonio Canepa-Oneto, Javier Ruiz-Pérez, Débora Zurro
2023 — conf
Detection of Stress Stimuli in Learning Contexts of iVR Environments.
XR (2)
José Miguel Ramírez-Sanz, Helia Marina Peña-Alonso, Ana Serrano Mamolar, Álvar Arnaiz-González, Andrés Bustillo
2022 J jnl
Correction to: Rotation Forest for multi-target regression.
Int. J. Mach. Learn. Cybern.
Juan José Rodríguez, Mario Juez-Gil, Carlos López Nozal, Álvar Arnaiz-González
2022 J jnl
Rotation Forest for multi-target regression.
Int. J. Mach. Learn. Cybern.
Juan José Rodríguez, Mario Juez-Gil, Carlos López Nozal, Álvar Arnaiz-González
2022 J jnl
When is resampling beneficial for feature selection with imbalanced wide data?
Expert Syst. Appl.
Ismael Ramos-Pérez, Álvar Arnaiz-González, Juan José Rodríguez, César García-Osorio
2021 J jnl
Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark.
Neurocomputing
Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez, Carlos López Nozal, César García-Osorio
2021 J jnl
Experimental evaluation of ensemble classifiers for imbalance in Big Data.
Appl. Soft Comput.
Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez, César García-Osorio
2021 J jnl
Rotation Forest for Big Data.
Inf. Fusion
Mario Juez-Gil, Álvar Arnaiz-González, Juan José Rodríguez Diez, Carlos López Nozal, César García-Osorio
2020 J jnl
An experimental evaluation of mixup regression forests.
Expert Syst. Appl.
Juan José Rodríguez, Mario Juez-Gil, Álvar Arnaiz-González, Ludmila I. Kuncheva
2020 J jnl
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale.
CoRR
Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González, Juan José Rodríguez
2020 J jnl
Random Balance ensembles for multiclass imbalance learning.
Knowl. Based Syst.
Juan José Rodríguez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, Ludmila I. Kuncheva
2019 J jnl
Evolutionary prototype selection for multi-output regression.
Neurocomputing
Miroslaw Kordos, Álvar Arnaiz-González, César García-Osorio
2019 J jnl
Instance selection improves geometric mean accuracy: a study on imbalanced data classification.
Prog. Artif. Intell.
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn
2018 J jnl
A taxonomic look at instance-based stream classifiers.
Neurocomputing
Iain A. D. Gunn, Álvar Arnaiz-González, Ludmila I. Kuncheva
2018 J jnl
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification.
CoRR
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Iain A. D. Gunn
2018 J jnl
Local sets for multi-label instance selection.
Appl. Soft Comput.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio
2018 J jnl
Seshat - a web-based educational resource for teaching the most common algorithms of lexical analysis.
Comput. Appl. Eng. Educ.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Ismael Ramos-Pérez, César García-Osorio
2018 J jnl
Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning.
Expert Syst. Appl.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César García-Osorio
2017 J jnl
MR-DIS - A Scalable Instance Selection Algorithm using MapReduce on Spark.
ERCIM News
Álvar Arnaiz-González, Alejandro González-Rogel, Carlos López Nozal
2017 J jnl
MR-DIS: democratic instance selection for big data by MapReduce.
Prog. Artif. Intell.
Álvar Arnaiz-González, Alejandro González-Rogel, José-Francisco Díez-Pastor, Carlos López Nozal
2016 J jnl
Fusion of instance selection methods in regression tasks.
Inf. Fusion
Álvar Arnaiz-González, Marcin Blachnik, Miroslaw Kordos, César Ignacio García-Osorio
2016 J jnl
Instance selection for regression by discretization.
Expert Syst. Appl.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
2016 J jnl
Instance selection for regression: Adapting DROP.
Neurocomputing
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez Diez, César Ignacio García-Osorio
2016 J jnl
Instance selection of linear complexity for big data.
Knowl. Based Syst.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, Juan José Rodríguez, César Ignacio García-Osorio
2016 J jnl
Random feature weights for regression trees.
Prog. Artif. Intell.
Álvar Arnaiz-González, José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez Diez
2015 — conf
An Experimental Study on Combining Binarization Techniques and Ensemble Methods of Decision Trees.
MCS
Juan José Rodríguez Diez, José-Francisco Díez-Pastor, Álvar Arnaiz-González, César Ignacio García-Osorio