| 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 | 118 | 2019 |
| A new algorithm for computing Boolean operations on polygons F Martinez, AJ Rueda, FR Feito Computers & Geosciences 35 (6), 1177-1185, 2009 | 117 | 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 | 70 | 2018 |
| Time Series Forecasting with KNN in R: the tsfknn Package. F Martínez, MP Frías, F Charte, AJ Rivera R J. 11 (2), 229, 2019 | 35 | 2019 |
| Strategies for time series forecasting with generalized regression neural networks F Martínez, F Charte, MP Frías, AM Martínez-Rodríguez Neurocomputing 491, 509-521, 2022 | 30 | 2022 |
| A simple algorithm for Boolean operations on polygons F Martinez, C Ogayar, JR Jiménez, AJ Rueda Advances in Engineering Software 64, 11-19, 2013 | 26 | 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 | 14 | 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 | 12 | 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 | 11 | 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 |
| 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 |
| 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 | 3 | 2022 |
| 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 |
| DGLMExtPois: Advances in Dealing with Over and Under-dispersion in a Double GLM Framework. AJ Sáez-Castillo, A Conde-Sánchez, F Martínez R J. 14 (4), 121-140, 2023 | | 2023 |
| 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 |
| Layer-based decompositions of polyhedra AJ Rueda, F Martinez, FR Feito Václav Skala-UNION Agency, 2005 | | 2005 |
Antonio J. RiveraProfesor de Ingeniería Informática (Universidad de Jaén)Dirección de correo verificada de ujaen.es
