Alfonso Gordaliza

Juan Carlos Fraile Marinero

María Asunción Lubiano

Beatriz Sinova

Int. J. Approx. Reason., 2025

2020

Influence on the user's emotional state of the graphic complexity level in virtual therapies based on a robot-assisted neuro-rehabilitation platform.

[BibT_eX]

[DOI]

Borja F. Villar

Pablo Viñas

Javier Pérez Turiel

Comput. Methods Programs Biomed., 2020

2018

Comments on "The power of monitoring: how to make the most of a contaminated multivariate sample".

[BibT_eX]

[DOI]

Stat. Methods Appl., 2018

Eigenvalues and constraints in mixture modeling: geometric and computational issues.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2018

2017

Robust estimation of mixtures of regressions with random covariates, via trimming and constraints.

[BibT_eX]

[DOI]

Stat. Comput., 2017

2016

The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2016

2015

Comments on: Multivariate functional outlier detection.

[BibT_eX]

[DOI]

Stat. Methods Appl., 2015

Avoiding spurious local maximizers in mixture modeling.

[BibT_eX]

[DOI]

Eduardo Rodriguez-Lizundia

Stat. Comput., 2015

A bellboy robot: Study of the effects of robot behaviour on user engagement and comfort.

[BibT_eX]

[DOI]

Samuel Marcos

Eduardo Zalama Casanova

Jaime Gómez García-Bermejo

Int. J. Hum. Comput. Stud., 2015

2014

A constrained robust proposal for mixture modeling avoiding spurious solutions.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2014

2013

Grouping Around Different Dimensional Affine Subspaces.

[BibT_eX]

[DOI]

Proceedings of the Statistical Models for Data Analysis, 2013

Comments on: model-based clustering and classification with non-normal mixture distributions.

[BibT_eX]

[DOI]

Stat. Methods Appl., 2013

2012

The influence function of the TCLUST robust clustering procedure.

[BibT_eX]

[DOI]

Christel Ruwet

Adv. Data Anal. Classif., 2012

2011

Exploring the number of groups in robust model-based clustering.

[BibT_eX]

[DOI]

Stat. Comput., 2011

2010

Robust clusterwise linear regression through trimming.

[BibT_eX]

[DOI]

Roberto San Martin

Comput. Stat. Data Anal., 2010

A review of robust clustering methods.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2010

2007

The importance of the scales in heterogeneous robust clustering.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2007

2005

A Proposal for Robust Curve Clustering.

[BibT_eX]

[DOI]