A. Nieto-Reyes

发表

A topologically valid definition of depth for functional data

H. Battey, A. Nieto-Reyes, 2014, 1410.5686.

A random-projection based Gaussianity test for stationary process

J. A. Cuesta-Albertos, F. Gamboa, A. Nieto-Reyes, 2009 .

On the Properties of Functional Depth

A. Nieto-Reyes, 2011 .

A Random Functional Depth

J. A. Cuesta-Albertos, A. Nieto-Reyes, 2008 .

Statistical Depth for Big Functional Data with Application to Neuroimaging

J. Aston, A. Nieto-Reyes, 2022, 2206.13897.

Supervised Classification of Healthcare Text Data Based on Context-Defined Categories

A. Nieto-Reyes, Heather L. Rogers, Sergio Bolívar, 2022, Mathematics.

Simplicial depths for fuzzy random variables

A. Nieto-Reyes, Luis González-De La Fuente, Pedro Ter'an, 2022, 2207.12853.

Properties of statistical depth with respect to compact convex random sets. The Tukey depth

A. Nieto-Reyes, Pedro Ter'an, Luis González-De La González-De La Fuente, 2022, 2206.14490.

Statistical Depth based Normalization and Outlier Detection of Gene Expression Data

Javier Cabrera, A. Nieto-Reyes, 2022, 2206.13928.

On the Non-Gaussianity of Sea Surface Elevations

A. Nieto-Reyes, 2022, 2207.01379.

Statistical depth for fuzzy sets

Alicia Nieto-Reyes, Pedro Terán, Luis González-De La Fuente, 2021, Fuzzy Sets Syst..

Statistical depth in abstract metric spaces

Alicia Nieto-Reyes, Gery Geenens, Giacomo Francisci, 2021, Statistics and Computing.

A Method to Automate the Prediction of Student Academic Performance from Early Stages of the Course

A. Nieto-Reyes, Giacomo Francisci, Rafael Duque, 2021, Mathematics.

Statistical Depth for Text Data: An Application to the Classification of Healthcare Data

A. Nieto-Reyes, Heather L. Rogers, Sergio Bolívar, 2023, Mathematics.

The random Tukey depth

Alicia Nieto-Reyes, Juan Antonio Cuesta-Albertos, J. A. Cuesta-Albertos, 2007, Comput. Stat. Data Anal..

Linear free divisors and the global logarithmic comparison theorem

A. Nieto-Reyes, M. Schulze, M. Granger, 2006, math/0607045.

Analyzing collaboration and interaction in learning environments to form learner groups

Alicia Nieto-Reyes, Crescencio Bravo, Domingo Gómez-Pérez, 2015, Comput. Hum. Behav..

On the definition of functional depth

Alicia Nieto-Reyes, Heather Battey, H. Battey, 2014 .

“ Older circuits get richer ” : neurogenesis timeline shapes hubness and neurogenetic profiles of the adult human brain

P. Bonifazi, S. Stramaglia, I. Díez, 2022 .

Functional Symmetry and Statistical Depth for the Analysis of Movement Patterns in Alzheimer’s Patients

H. Battey, A. Nieto-Reyes, Giacomo Francisci, 2021, Mathematics.

A topologically valid construction of depth for functional data

Alicia Nieto-Reyes, Heather Battey, H. Battey, 2021, J. Multivar. Anal..

A Framework for Identifying Sequences of Interactions That Cause Usability Problems in Collaborative Systems

Alicia Nieto-Reyes, José Luis Montaña, Rafael Duque, 2021, Electronics.

Are models easier to understand than code? An empirical study on comprehension of entity-relationship (ER) models vs. structured query language (SQL) code

Alicia Nieto-Reyes, Marta E. Zorrilla, Rafael Duque, 2011, Comput. Sci. Educ..

The Tukey and the random Tukey depths characterize discrete distributions

Alicia Nieto-Reyes, J. A. Cuesta-Albertos, Juan A. Cuesta-Albertos, 2008 .

Automatic apraxia detection using deep convolutional neural networks and similarity methods

A. Nieto-Reyes, C. Lage, J. L. Montaña, 2023, Machine Vision and Applications.

Classification of Alzheimer’s Patients through Ubiquitous Computing †

Alicia Nieto-Reyes, José Luis Montaña, Rafael Duque, 2017, Sensors.

Detecting Human Movement Patterns Through Data Provided by Accelerometers. A Case Study Regarding Alzheimer's Disease

Alicia Nieto-Reyes, José Luis Montaña, Rafael Duque, 2016, UCAmI.

Linking hubness, embryonic neurogenesis, transcriptomics and diseases in human brain networks

P. Bonifazi, S. Stramaglia, I. Díez, 2023, bioRxiv.

Discussion of “ Multivariate Functional Outlier Detection ”

Juan Romo, Ana Arribas-Gil, J. A. Cuesta-Albertos, 2015 .

To Split or to Mix? Tree vs. Mixture Models for Detecting Subgroups

M. Gilli, Gil González-Rodríguez, A. Nieto-Reyes, 2017 .

A random-projection based test of Gaussianity for stationary processes

Alicia Nieto-Reyes, Juan Antonio Cuesta-Albertos, Fabrice Gamboa, 2014, Comput. Stat. Data Anal..

Variations of the depth based Liu-Singh two-sample test including functional spaces

A. Nieto-Reyes, C. Kirch, Felix Gnettner, 2023, 2308.09869.