Martos Venturini, Gabriel

Publicaciones (publications)

Level Sets Semimetrics for Probability Measures with applications in hypothesis testing. Co-authors: Alberto Muñoz and Javier Gonzalez. Methodology and Computing in Applied Probability, 25, issue 1, art. 21, (2023).
Density kernel depth for outlier detection in functional data. Co-authors: Nicolás Hernández and Alberto Muñoz. International Journal of Data Science and Analytics, 16, 481–488, (2023).

Uncovering Regions of Maximum Dissimilarity on Random Process Data. Co-author: Miguel de Carvalho. Submitted to the Journal of Machine Learning Research (Paper under revision for Publication).

Brexit: Tracking and disentangling the sentiment towards leaving the EU. Co-author: Miguel de Carvalho. International Journal of Forecasting, 36(3), (2020).

Support Vector Regression. Co-authors: Alberto Muñoz and Javier Moguerza. StatsRef: Statistics Reference Online, (2020).

Support Vector Machines. Co-authors: Alberto Muñoz and Javier Moguerza. StatsRef: Statistics Reference Online, (2019).

Combining Entropy Measures for Anomaly Detection. Co-authors: Nicolás Hernandez and Alberto Muñoz. Entropy Journal, 20(09), (2018).
Brexit: Tracking and disentangling the sentiment towards leaving the EU. Co-author: Miguel de Carvalho. International Journal of Forecasting, (2018).
Discrimination Surfaces for Region-Specic Brain Asymmetry Analysis. Co-author: Miguel de Carvalho. Journal of Statistics in Medicine, 37(11), (2018).
Entropy measures for stochastic processes with applications in functional anomaly detection. Co-authors: Nicolás Hernandez and Alberto Muñoz. Entropy Journal, 20(11), (2018).
Asymmetric latent semantic indexing for gene expression experiments visualization. Co-authors: Alberto Muñoz, and Javier Gonzalez. Journal of Bioinformatics and Computational Biology, 14(04), (2016).
Generalizing Mahalanobis Distance via Density Kernels. Co-authors: Alberto Muñoz and Javier Gonzalez. Journal of Intelligent Data Analysis, 18, (2014).