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 | 130 | 2020 |
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 | 101 | 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 | 89 | 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 | 73 | 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 | 47 | 2016 |
Instance selection for regression: Adapting DROP Á Arnaiz-González, JF Díez-Pastor, JJ Rodríguez, C García-Osorio Neurocomputing 201, 66-81, 2016 | 35 | 2016 |
Random balance ensembles for multiclass imbalance learning JJ Rodriguez, JF Diez-Pastor, A Arnaiz-Gonzalez, LI Kuncheva Knowledge-Based Systems 193, 105434, 2020 | 34 | 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 | 32 | 2020 |
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 | 32 | 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 | 32 | 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 | 29 | 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 | 27 | 2021 |
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 | 27 | 2020 |
When is resampling beneficial for feature selection with imbalanced wide data? I Ramos-Pérez, Á Arnaiz-González, JJ Rodríguez, C García-Osorio Expert Systems with Applications 188, 116015, 2022 | 26 | 2022 |
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 | 26 | 2018 |
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 | 25 | 2021 |
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 | 23 | 2020 |
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 | 22 | 2020 |
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 | 22 | 2020 |
Evolutionary prototype selection for multi-output regression M Kordos, Á Arnaiz-González, C García-Osorio Neurocomputing 358, 309-320, 2019 | 21 | 2019 |