Alberto Muñoz

Orcid: 0000-0001-8982-0678

According to our database1, Alberto Muñoz authored at least 51 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Density kernel depth for outlier detection in functional data.
Int. J. Data Sci. Anal., October, 2023

2018
Combining Entropy Measures for Anomaly Detection.
Entropy, 2018

Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection.
Entropy, 2018

2016
Asymmetric latent semantic indexing for gene expression experiments visualization.
J. Bioinform. Comput. Biol., 2016

Kernel Depth Measures for Functional Data with Application to Outlier Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Local Entropies for Kernel Selection and Outlier Detection in Functional Data.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Generalizing the Mahalanobis distance via density kernels.
Intell. Data Anal., 2014

2013
Functional analysis techniques to improve similarity matrices in discrimination problems.
J. Multivar. Anal., 2013

A New Distance for Data Sets in a Reproducing Kernel Hilbert Space Context.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

On the Generalization of the Mahalanobis Distance.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
A New Distance for Probability Measures Based on the Estimation of Level Sets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Cloud Computing Service for Managing Large Medical Image Data-Sets Using Balanced Collaborative Agents.
Proceedings of the Advances on Practical Applications of Agents and Multiagent Systems, 2011

Cytology Imaging Segmentation Using the Locally Constrained Watershed Transform.
Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

2010
Representing functional data using support vector machines.
Pattern Recognit. Lett., 2010

Methods for the combination of kernel matrices within a support vector framework.
Mach. Learn., 2010

2009
Combining Functional Data Projections for Time Series Classification.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Functional Learning of Kernels for Information Fusion Purposes.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Spectral Measures for Kernel Matrices Comparison.
Proceedings of the Artificial Neural Networks, 2007

Joint Diagonalization of Kernels for Information Fusion.
Proceedings of the Progress in Pattern Recognition, 2007

Monitoring Nonlinear Profiles Using Support Vector Machines.
Proceedings of the Progress in Pattern Recognition, 2007

2006
Estimation of High-Density Regions Using One-Class Neighbor Machines.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

From Indefinite to Positive Semi-Definite Matrices.
Proceedings of the Structural, 2006

On the Fusion of Polynomial Kernels for Support Vector Classifiers.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Kernel Procrustes.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Alternatives to Parameter Selection for Kernel Methods.
Proceedings of the Artificial Neural Networks, 2006

Local Linear Approximation for Kernel Methods: The Railway Kernel.
Proceedings of the Progress in Pattern Recognition, 2006

Fusion of Gaussian Kernels Within Support Vector Classification.
Proceedings of the Progress in Pattern Recognition, 2006

3D Navigable Interface for Interactive Movie Gormenghast Explore.
Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution, 2006

2005
Visualizing asymmetric proximities with SOM and MDS models.
Neurocomputing, 2005

Extending the SOM Algorithm to Visualize Word Relationships.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Building Smooth Neighbourhood Kernels via Functional Data Analysis.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

A Naive Solution to the One-Class Problem and Its Extension to Kernel Methods.
Proceedings of the Progress in Pattern Recognition, 2005

2004
Improving Support Vector Classification via the Combination of Multiple Sources of Information.
Proceedings of the Structural, 2004

Solving the One-Class Problem Using Neighbourhood Measures.
Proceedings of the Structural, 2004

Combining Kernel Information for Support Vector Classification.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

A New Sammon Algorithm for Sparse Data Visualization.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

A New MDS Algorithm for Textual Data Analysis.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Extending the SOM Algorithm to Non-Euclidean Distances via the Kernel Trick.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Representing hierarchical relationships using a modified Asymmetric SOM Algorithm.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

One-Class Support Vector Machines and Density Estimation: The Precise Relation.
Proceedings of the Progress in Pattern Recognition, 2004

2003
Combining Support Vector Machines and ARTMAP Architectures for Natural Classification.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Support Vector Machine Classifiers for Asymmetric Proximities.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Visualizing asymmetric proximities with MDS models.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
Detecting the Number of Clusters Using a Support Vector Machine Approach.
Proceedings of the Artificial Neural Networks, 2002

2001
Self Organizing Map and Sammon Mapping for Asymmetric Proximities.
Proceedings of the Artificial Neural Networks, 2001

2000
Increasing relevance of memory hardware errors: a case for recoverable programming models.
Proceedings of the 9th ACM SIGOPS European Workshop, 2000

1999
IPR techniques applied to a multimedia environment in the HYPERMEDIA project.
Proceedings of the Security and Watermarking of Multimedia Contents, 1999

1998
Self-organizing maps for outlier detection.
Neurocomputing, 1998

1997
Compound Key Word Generation from Document Databases Using A Hierarchical Clustering ART Model.
Intell. Data Anal., 1997

1996
Creating Term Associations Using a Hierarchical ART Architecture.
Proceedings of the Artificial Neural Networks, 1996

1994
Diffuse Pattern Learning with Fuzzy ARTMAP and PASS.
Proceedings of the Parallel Problem Solving from Nature, 1994


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