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ORCIDÁngel López-Oriona
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2020 – today
- 2024
[j10]Ángel López-Oriona
, José Antonio Vilar:
Analyzing categorical time series with the package ctsfeatures. J. Comput. Sci. 76: 102233 (2024)- [i6]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 abs/2402.08687 (2024) - 2023
- [j9]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: 108590 (2023) - [j8]Ángel López-Oriona, José Antonio Vilar:
Machine learning for multivariate time series with the R package mlmts. Neurocomputing 537: 210-235 (2023) - [j7]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: 467-492 (2023) - [i5]Ángel López-Oriona, Christian Weiss, José Antonio Vilar:
Fuzzy clustering of ordinal time series based on two novel distances with economic applications. CoRR abs/2304.12249 (2023) - [i4]Ángel López-Oriona, José Antonio Vilar Fernández:
Ordinal time series analysis with the R package otsfeatures. CoRR abs/2304.12251 (2023) - [i3]Ángel López-Oriona, José Antonio Vilar Fernández:
Analyzing categorical time series with the R package ctsfeatures. CoRR abs/2304.12332 (2023) - [i2]Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar Fernández:
Time series clustering based on prediction accuracy of global forecasting models. CoRR abs/2305.00473 (2023) - 2022
- [j6]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): 115-154 (2022) - [j5]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. Int. J. Approx. Reason. 150: 55-82 (2022) - [j4]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: 255-275 (2022) - [j3]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): 3990-4004 (2022) - [c2]Ángel López-Oriona, Pablo Montero-Manso, José Antonio Vilar:
Clustering of Time Series Based on Forecasting Performance of Global Models. AALTD@ECML/PKDD 2022: 18-33 - 2021
- [j2]Ángel López-Oriona, José Antonio Vilar:
Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series. Expert Syst. Appl. 185: 115677 (2021) - [j1]Ángel López-Oriona, José Antonio Vilar:
Outlier detection for multivariate time series: A functional data approach. Knowl. Based Syst. 233: 107527 (2021) - [c1]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 - [i1]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 abs/2109.11027 (2021)
Coauthor Index
aka: José Antonio Vilar Fernández
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