José Antonio Vilar

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 18

Top Topics

Partitional Clustering

Multivariate Time Series

Fuzzy Clustering

Top Venues

Fuzzy Sets Syst.

Stat. Anal. Data Min.

Publications

Ángel López-Oriona, José Antonio Vilar
Analyzing categorical time series with the package ctsfeatures. J. Comput. Sci. 76 (2024)
Ángel López-Oriona, José Antonio Vilar
. Neurocomputing 537 (2023)
Ángel López-Oriona, José Antonio Vilar, Pierpaolo D'Urso
Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences. Inf. Sci. 624 (2023)
Ángel López-Oriona, Christian H. Weiß, José Antonio Vilar
Two novel distances for ordinal time series and their application to fuzzy clustering. Fuzzy Sets Syst. 468 (2023)
Ángel López-Oriona, Christian Weiss, José Antonio Vilar
Fuzzy clustering of ordinal time series based on two novel distances with economic applications. CoRR (2023)
Ángel López-Oriona, José Antonio Vilar, Pierpaolo D'Urso
Quantile-based fuzzy clustering of multivariate time series in the frequency domain. Fuzzy Sets Syst. 443 (Part) (2022)
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
Spatial Weighted Robust Clustering of Multivariate Time Series Based on Quantile Dependence With an Application to Mobility During COVID-19 Pandemic. IEEE Trans. Fuzzy Syst. 30 (9) (2022)
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
-means clustering of multivariate time series: Robust techniques. Int. J. Approx. Reason. 150 (2022)
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar
Clustering of Time Series Based on Forecasting Performance of Global Models. AALTD@ECML/PKDD (2022)
Ángel López-Oriona, José Antonio Vilar
The bootstrap for testing the equality of two multivariate time series with an application to financial markets. Inf. Sci. 616 (2022)
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques. CoRR (2021)
Ángel López-Oriona, José Antonio Vilar
Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series. Expert Syst. Appl. 185 (2021)
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic. WILF (2021)
Ángel López-Oriona, José Antonio Vilar
Outlier detection for multivariate time series: A functional data approach. Knowl. Based Syst. 233 (2021)
Pablo Montero-Manso, José Antonio Vilar
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances. Stat. Anal. Data Min. 12 (3) (2019)
Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos
Distributed classification based on distances between probability distributions in feature space. Inf. Sci. 496 (2019)
José Antonio Vilar, Borja R. Lafuente-Rego, Pierpaolo D'Urso
Quantile autocovariances: A powerful tool for hard and soft partitional clustering of time series. Fuzzy Sets Syst. 340 (2018)
Borja R. Lafuente-Rego, José Antonio Vilar
Clustering of time series using quantile autocovariances. Adv. Data Anal. Classif. 10 (3) (2016)
Borja R. Lafuente-Rego, José Antonio Vilar
Fuzzy Clustering of Series Using Quantile Autocovariances. AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Borja R. Lafuente-Rego, José Antonio Vilar
Fuzzy Clustering of Series Using Quantile Autocovariances. AALTD@PKDD/ECML (2015)
Manuel García-Magariños, José Antonio Vilar
A framework for dissimilarity-based partitioning clustering of categorical time series. Data Min. Knowl. Discov. 29 (2) (2015)
José Antonio Vilar, A. M. Alonso, Juan Manuel Vilar
Non-linear time series clustering based on non-parametric forecast densities. Comput. Stat. Data Anal. 54 (11) (2010)
Sonia Pértega Díaz, José Antonio Vilar
Comparing Several Parametric and Nonparametric Approaches to Time Series Clustering: A Simulation Study. J. Classif. 27 (3) (2010)
Juan Manuel Vilar, José Antonio Vilar, Sonia Pértega Díaz
Classifying Time Series Data: A Nonparametric Approach. J. Classif. 26 (1) (2009)