sample of publications

• articles 

  • Density kernel depth for outlier detection in functional data.  International Journal of Data Science and Analytics.  16:481-488. 2023
  • Level Sets Semimetrics for Probability Measures with Applications in Hypothesis Testing.  METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY.  25. 2023
  • Different routes or methods of application for dimensionality reduction in multicenter studies databases.  Mathematics.  10:1-14. 2022
  • Combining Entropy Measures for Anomaly Detection.  Entropy.  20. 2018
  • Asymmetric latent semantic indexing for gene expression experiments visualization.  Journal of Bioinformatics and Computational Biology.  14. 2016
  • A new distance for data sets in a reproducing Kernel Hilbert Space Context.  Lecture Notes in Computer Science (Lecture Notes in Computer Science).  8258:222-229. 2014
  • Generalizing the Mahalanobis distance via density kernels.  Intelligent Data Analysis.  18:19-31. 2014
  • Functional analysis techniques to improve similarity matrices in discrimination problems.  JOURNAL OF MULTIVARIATE ANALYSIS.  120:120-134. 2013
  • On the generalization of the mahalanobis distance.  Lecture Notes in Computer Science (Lecture Notes in Computer Science).  8258:125-132. 2013

• conference contributions 

  • Functional Learning of Kernels for Information Fusion Purposes 2008
  • Functional data classification based on reproducing kernel regularization 2008
  • Representing Functional Data Using Support Vector Machines 2008

• working papers 

  • Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection 2018
  • Kernel depth funcions for functional data 2017
  • Representing Functional Data in Reproducing Kernel Hilbert Spaces with Applications to Clustering and Classification 2010
  • Locally Linear Approximation for Kernel Methods: The Railway Kernel 2008