A methodology for applying k-nearest neighbor to time series forecasting F Martínez, MP Frías, MD Pérez, AJ Rivera Artificial Intelligence Review 52 (3), 2019-2037, 2019 | 144 | 2019 |
A new algorithm for computing Boolean operations on polygons F Martinez, AJ Rueda, FR Feito Computers & Geosciences 35 (6), 1177-1185, 2009 | 124 | 2009 |
Dealing with seasonality by narrowing the training set in time series forecasting with kNN F Martínez, MP Frías, MD Pérez-Godoy, AJ Rivera Expert Systems with Applications 103, 38-48, 2018 | 79 | 2018 |
Strategies for time series forecasting with generalized regression neural networks F Martínez, F Charte, MP Frías, AM Martínez-Rodríguez Neurocomputing 491, 509-521, 2022 | 44 | 2022 |
Time Series Forecasting with KNN in R: the tsfknn Package. F Martínez, MP Frías, F Charte, AJ Rivera R J. 11 (2), 229, 2019 | 40 | 2019 |
A simple algorithm for Boolean operations on polygons F Martinez, C Ogayar, JR Jiménez, AJ Rueda Advances in Engineering Software 64, 11-19, 2013 | 31 | 2013 |
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search F Charte, AJ Rivera, F Martínez, MJ del Jesus Integrated Computer-Aided Engineering 27 (3), 211-231, 2020 | 16 | 2020 |
Automating autoencoder architecture configuration: An evolutionary approach F Charte, AJ Rivera, F Martínez, MJ del Jesus International Work-Conference on the Interplay Between Natural and …, 2019 | 15 | 2019 |
Automatic Time Series Forecasting with GRNN: a Comparison with other Models F Martínez, F Charte, AJ Rivera, MP Frías International Work-Conference on Artificial Neural Networks, 198-209, 2019 | 12 | 2019 |
The multi-L-REP decomposition and its application to a point-in-polygon inclusion test F Martínez, AJ Rueda, FR Feito Computers & Graphics 30 (6), 947-958, 2006 | 8 | 2006 |
Time series forecasting by generalized regression neural networks trained with multiple series F Martínez, MP Frías, MD Pérez-Godoy, AJ Rivera IEEE Access 10, 3275-3283, 2022 | 6 | 2022 |
Detecting hidden periodicities for models with ciclycal errors MP Frías, AV Ivanov, N Leonenko, F Martínez, MD Ruiz-Medina Statistics and Its Interface 10 (1), 107-118, 2017 | 4 | 2017 |
The multi-LREP decomposition of solids and its application to a point-in-polyhedron inclusion test F Martínez, AJ Rueda, FR Feito The Visual Computer 26, 1361-1368, 2010 | 2 | 2010 |
DESReg: Dynamic Ensemble Selection library for Regression tasks MD Pérez-Godoy, M Molina, F Martínez, D Elizondo, F Charte, AJ Rivera Neurocomputing 580, 127487, 2024 | | 2024 |
DGLMExtPois: Advances in Dealing with Over and Under-dispersion in a Double GLM Framework AJ Sáez-Castillo, A Conde-Sánchez, F Martínez R Journal [2022];[14/4]:[121-140], 2022 | | 2022 |
A 3DWeb Application for Weather Forecast Based on WebGL. A Graciano, AJ Rueda, FR Feito, F Martínez CEIG, 2015 | | 2015 |
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments MD Pérez-Godoy, AJ Rivera, MJ Del Jesus, F Martínez The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | | 2013 |
Optimización de algoritmos basados en capas de simplices mediante descomposiciones espaciales FM del Río Universidad de Jaén, 2010 | | 2010 |
Tests de inclusión punto en objeto basados en árboles de intervalos. F Martínez, AJ Rueda, FR Feito CEIG, 57-64, 2009 | | 2009 |
A SIMPLE AND FAST HARDWARE-ACCELERATED POINT-IN-POLYGON TEST F Martínez, AJ Rueda, FR Feito International Conference on Computer Graphics Theory and Applications 2, 161-165, 2007 | | 2007 |