Ángel López-Oriona

25 papers Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Forecasting time series collections via fuzzy clustering.
Fuzzy Sets Syst.
Ángel López-Oriona, Ying Sun
2025 J jnl
Dependence-Based Fuzzy Clustering of Functional Time Series.
J. Comput. Graph. Stat.
Ángel López-Oriona, Ying Sun, Han Lin Shang
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
FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis.
Int. J. Approx. Reason.
Ziling Ma, Ángel López-Oriona, Hernando Ombao, Ying Sun
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
Lag selection in feature-based clustering of time series.
Knowl. Based Syst.
Ángel López-Oriona, Ying Sun
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
2024 J jnl
Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data.
CoRR
Ángel López-Oriona, Ying Sun, Rosa M. Crujeiras
2023 J jnl
Analyzing categorical time series with the R package ctsfeatures.
CoRR
Ángel López-Oriona, José Antonio Vilar Fernández
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
Ordinal time series analysis with the R package otsfeatures.
CoRR
Ángel López-Oriona, José Antonio Vilar Fernández
2023 J jnl
Time series clustering based on prediction accuracy of global forecasting models.
CoRR
Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar Fernández
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