José Antonio Vilar

27 papers Journal 23Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Erratum to "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.
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
2025 J jnl
Improving the prediction accuracy of statistical models: A new hierarchical clustering approach.
Stat. Comput.
Ángel López-Oriona, Ying Sun, José Antonio Vilar
2025 J jnl
Time series clustering based on prediction accuracy of global forecasting models.
Knowl. Based Syst.
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar
2024 J jnl
Analyzing categorical time series with the package ctsfeatures.
J. Comput. Sci.
Ángel López-Oriona, José Antonio Vilar
2023 J jnl
Fuzzy clustering of ordinal time series based on two novel distances with economic applications.
CoRR
Ángel López-Oriona, Christian Weiss, José Antonio Vilar
2023 J jnl
Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences.
Inf. Sci.
Ángel López-Oriona, José Antonio Vilar, Pierpaolo D'Urso
2023 J jnl
Machine learning for multivariate time series with the R package
Neurocomputing
Ángel López-Oriona, José Antonio Vilar
2023 J jnl
Two novel distances for ordinal time series and their application to fuzzy clustering.
Fuzzy Sets Syst.
Ángel López-Oriona, Christian H. Weiß, José Antonio Vilar
2022 — conf
Clustering of Time Series Based on Forecasting Performance of Global Models.
AALTD@ECML/PKDD
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar
2022 J jnl
Quantile-based fuzzy
Int. J. Approx. Reason.
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
2022 J jnl
Quantile-based fuzzy clustering of multivariate time series in the frequency domain.
Fuzzy Sets Syst.
Ángel López-Oriona, José Antonio Vilar, Pierpaolo D'Urso
2022 J jnl
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.
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
2022 J jnl
The bootstrap for testing the equality of two multivariate time series with an application to financial markets.
Inf. Sci.
Ángel López-Oriona, José Antonio Vilar
2021 J jnl
Outlier detection for multivariate time series: A functional data approach.
Knowl. Based Syst.
Ángel López-Oriona, José Antonio Vilar
2021 J jnl
Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series.
Expert Syst. Appl.
Ángel López-Oriona, José Antonio Vilar
2021 J jnl
Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques.
CoRR
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
2021 — conf
Spatial weighted robust clustering of multivariate time series based on quantile dependence with an application to mobility during COVID-19 pandemic.
WILF
Ángel López-Oriona, Pierpaolo D'Urso, José Antonio Vilar, Borja R. Lafuente-Rego
2019 J jnl
Distributed classification based on distances between probability distributions in feature space.
Inf. Sci.
Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos
2019 J jnl
Two-sample homogeneity testing: A procedure based on comparing distributions of interpoint distances.
Stat. Anal. Data Min.
Pablo Montero-Manso, José Antonio Vilar
2018 J jnl
Quantile autocovariances: A powerful tool for hard and soft partitional clustering of time series.
Fuzzy Sets Syst.
José Antonio Vilar, Borja R. Lafuente-Rego, Pierpaolo D'Urso
2016 J jnl
Clustering of time series using quantile autocovariances.
Adv. Data Anal. Classif.
Borja R. Lafuente-Rego, José Antonio Vilar
2015 J jnl
A framework for dissimilarity-based partitioning clustering of categorical time series.
Data Min. Knowl. Discov.
Manuel García-Magariños, José Antonio Vilar
2015 — conf
Fuzzy Clustering of Series Using Quantile Autocovariances.
AALTD@PKDD/ECML
Borja R. Lafuente-Rego, José Antonio Vilar
2015 — conf
Fuzzy Clustering of Series Using Quantile Autocovariances.
AALTD@PKDD/ECML (Revised Selected Papers)
Borja R. Lafuente-Rego, José Antonio Vilar
2010 J jnl
Comparing Several Parametric and Nonparametric Approaches to Time Series Clustering: A Simulation Study.
J. Classif.
Sonia Pértega Díaz, José Antonio Vilar
2010 J jnl
Non-linear time series clustering based on non-parametric forecast densities.
Comput. Stat. Data Anal.
José Antonio Vilar, A. M. Alonso, Juan Manuel Vilar
2009 J jnl
Classifying Time Series Data: A Nonparametric Approach.
J. Classif.
Juan Manuel Vilar, José Antonio Vilar, Sonia Pértega Díaz