Ángel López-Oriona

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Categorical Data

Multivariate Time Series

Fuzzy Clustering

Top Venues

Fuzzy Sets Syst.

Int. J. Approx. Reason.

Publications

Ángel López-Oriona, José Antonio Vilar
Analyzing categorical time series with the package ctsfeatures. J. Comput. Sci. 76 (2024)
Ángel López-Oriona, Ying Sun, Rosa M. Crujeiras
Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data. CoRR (2024)
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar Fernández
Time series clustering based on prediction accuracy of global forecasting models. CoRR (2023)
Ángel López-Oriona, José Antonio Vilar
. Neurocomputing 537 (2023)
Ángel López-Oriona, José Antonio Vilar Fernández
Ordinal time series analysis with the R package otsfeatures. CoRR (2023)
Ángel López-Oriona, José Antonio Vilar Fernández
Analyzing categorical time series with the R package ctsfeatures. CoRR (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)