Publications

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Conference Paper
A first analysis of the effect of local and global optimization weights methods in the cooperative-competitive design of RBFN for imbalanced environments, Pérez-Godoy, M.D., Rivera-Rivas A.J., del Jesus M. J., and Martínez Francisco , The 2013 International Joint Conference on Neural Networks (IJCNN), Aug, p.1-8, (2013)
A simple and fast hardware-accelerated point-in-polygon test, Martínez, Francisco, Ruiz Antonio J. Rueda, and Feito-Higueruela Francisco R. , GRAPP, (2007)
A specialized lazy learner for time series forecasting, Martínez, Francisco, Frías M.P., Charte Francisco, and Rivera-Rivas A.J. , 17th International Conference on Computational and Mathematical Methods in Science and Engineering, CMMSE 2017, 7, Costa Ballena, Rota, Cáadiz (Spain), p.1397–1403, (2017) PDF icon 2017-CMMSE-SpecializedLazyLearner.pdf (211.11 KB)
Acceso restringido a calificaciones de alumnos a través de internet, Aguilera, José, Balsas José R., Martínez Francisco, and Rivas Victor M. , Simposio Español de informática distribuida, 09, Orense (España), (2000)
An ensemble method for time series forecasting with simple exponential smoothing, del Jesus, M. J., Martínez Francisco, Pérez-Godoy M.D., Rivera-Rivas A.J., and Frías María Pilar , Conference Computational and Mathematical Methods in Science and Engineering, 07, Rota, Cádiz (Spain), (2014)
Automatic Time Series Forecasting with GRNN: A Comparison with Other Models, Martínez, Francisco, Charte Francisco, Rivera-Rivas A.J., and Frías María Pilar , International Work-Conference on Artificial Neural Networks, 05/2019, p.198-209, (2019)
Automating Autoencoder Architecture Configuration: An Evolutionary Approach, Charte, Francisco, Rivera-Rivas A.J., Martínez Francisco, and del Jesus M. J. , International Work-Conference on the Interplay Between Natural and Artificial Computation, 05/2019, p.339-349, (2019)
Combining simple exponential smoothing models for time series forecasting, Martínez, Francisco, Pérez-Godoy M.D., Charte Francisco, and del Jesus M. J. , International work-conference on Time Series, ITISE 2016, 6, Granada (Spain), p.635-644, (2016) PDF icon 2016-ITISE-ExponentialSmoothing.pdf (1.13 MB)
Experimentando con la paralelización de un problema de cálculo utilizando hardware gráfico, Martínez, Francisco, Rueda-Ruiz Antonio Jesús, Feito-Higueruela Francisco Ramón, and Frías-Bustamante María Pilar , XVIII Jornadas de Paralelismo, Zaragoza, del 11 al 14 de Septiembre, p.791-798, (2007)
La descomposición multi-L-REP de sólidos y su aplicación a un test de inclusión, Martínez, Francisco, and Rueda-Ruiz Antonio Jesús , XVII Congreso Español de Informática Gráfica, Zaragoza, del 11 al 14 de Septiembre, p.159-168, (2007)
Layer-based Decompositions of Polyhedra, Rueda, Antonio, Martínez Francisco, and Feito Francisco , International Conference in Central Europe on Computer Graphics Visualization and Computer Vision, January, (2005)
Simulating multi-self-similar spatiotemporal models with CUDA, Martínez, Francisco, Frías-Bustamante María Pilar, and Ruiz-Medina María Dolores , COMPSTAT 2010, París, del 22 al 27 de Agosto, p.341-341, (2010)
Tests de inclusión punto en objeto basados en árboles de intervalos, Martínez, Francisco, Rueda-Ruiz Antonio Jesús, and Feito-Higueruela Francisco Ramón , Congreso Español de Informática Gráfica, San Sebastián, p.57-64, (2009)
Journal Article
A methodology for applying k-nearest neighbor to time series forecasting, Martínez, Francisco, Frías María Pilar, Pérez-Godoy M.D., and Rivera-Rivas A.J. , Artificial Intelligence Review, Nov, (2017)
A new algorithm for computing Boolean operations on polygons, Martínez, Francisco, Rueda Antonio Jesús, and Feito Francisco Ramón , Computers & Geosciences, Volume 35, Number 6, p.1177 - 1185, (2009)
Dealing with seasonality by narrowing the training set in time series forecasting with kNN, Martínez, Francisco, Frías María Pilar, Pérez-Godoy M.D., and Rivera-Rivas A.J. , Expert Systems with Applications, Volume 103, p.38 - 48, (2018)
Detecting hidden periodicities for models with cyclical errors, Frías, M.P., Ivanov Alexander, Leonenko Nikolai, Martínez Francisco, and Ruiz-Medina María Dolores , Statistics and Its Interface, 04, Volume 10, Number 1, p.107-118, (2017)
EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search, Charte, Francisco, Rivera-Rivas A.J., Martínez Francisco, and del Jesus M. J. , Integrated Computer-Aided Engineering, 05/2020, Volume 27, Number 3, p.211-231, (2020)
The multi-L-REP decomposition and its application to a point-in-polygon inclusion test, Martínez, Francisco, Rueda Antonio, and Feito Francisco , Computers & Graphics, 12, Volume 30, p.947-958, (2006)
The multi-LREP decomposition of solids and its application to a point-in-polyhedron inclusion test, Martínez, Francisco, Rueda Antonio, and Feito Francisco , The Visual Computer, 11, Volume 26, p.1361-1368, (2010)
Time Series Forecasting with KNN in R: the tsfknn Package, Martínez, Francisco, Frías María Pilar, Charte Francisco, and Rivera-Rivas A.J. , The R Journal, 12/2019, Volume 11, Number 2, p.229-242, (2019) PDF icon RJ-2019-004.pdf (204.01 KB)