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Ordinal Time Series Analysis with the R Package otsfeatures

Mathematics (Basel), 2023-06, Vol.11 (11), p.2565

2023

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Quantile-based fuzzy clustering of multivariate time series in the frequency domain

Fuzzy sets and systems, 2022-08, Vol.443, p.115-154

2022

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Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series

Expert systems with applications, 2021-12, Vol.185, p.115677, Article 115677

2021

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F4: An All-Purpose Tool for Multivariate Time Series Classification

Mathematics (Basel), 2021-12, Vol.9 (23), p.3051

2021

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Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences

Information sciences, 2023-05, Vol.624, p.467-492

2023

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Machine learning for multivariate time series with the R package mlmts

Neurocomputing (Amsterdam), 2023-06, Vol.537, p.210-235

2023

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The bootstrap for testing the equality of two multivariate time series with an application to financial markets

Information sciences, 2022-11, Vol.616, p.255-275

2022

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Outlier detection for multivariate time series: A functional data approach

Knowledge-based systems, 2021-12, Vol.233, p.107527, Article 107527

2021

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Two novel distances for ordinal time series and their application to fuzzy clustering

Fuzzy sets and systems, 2023-09, Vol.468, p.108590, Article 108590

2023

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Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques

International journal of approximate reasoning, 2022-11, Vol.150, p.55-82

2022

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Modeling the number of people infected with SARS-COV-2 from wastewater viral load in Northwest Spain

The Science of the total environment, 2022-03, Vol.811, p.152334-152334, Article 152334

2022

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Analyzing categorical time series with the R package ctsfeatures

Journal of computational science, 2024-03, Vol.76, Article 102233

2024

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Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain

Environmental science and pollution research international, 2023-07, Vol.30 (32), p.79315-79334

2023

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Clustering of Time Series Based on Forecasting Performance of Global Models

Advanced Analytics and Learning on Temporal Data, p.18-33

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Analyzing categorical time series with the package ctsfeatures

Journal of computational science, 2024-03, Vol.76, p.102233, Article 102233

2024

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Ordinal Time Series Analysis with the R Package Iotsfeatures/I

Mathematics (Basel), 2023-06, Vol.11 (11)

2023

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Proyecto COVIDBENS. Seguimiento de la pandemia de COVID-19 en aguas residuales del área metropolitana de A Coruña

Revista de salud ambiental, 2022-05, Vol.22 (Especial Congreso)

2022

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Spatial Weighted Robust Clustering of Multivariate Time Series Based on Quantile Dependence With an Application to Mobility During COVID-19 Pandemic

IEEE transactions on fuzzy systems, 2022-09, Vol.30 (9), p.3990-4004

2022

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Ordinal Time Series Analysis with the R Package otsfeatures

Quantile-based fuzzy clustering of multivariate time series in the frequency domain

Quantile cross-spectral density: A novel and effective tool for clustering multivariate time series

F4: An All-Purpose Tool for Multivariate Time Series Classification

Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences

Machine learning for multivariate time series with the R package mlmts

The bootstrap for testing the equality of two multivariate time series with an application to financial markets

Outlier detection for multivariate time series: A functional data approach

Two novel distances for ordinal time series and their application to fuzzy clustering

Quantile-based fuzzy C-means clustering of multivariate time series: Robust techniques

Modeling the number of people infected with SARS-COV-2 from wastewater viral load in Northwest Spain

Analyzing categorical time series with the R package ctsfeatures

Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain

Clustering of Time Series Based on Forecasting Performance of Global Models

Analyzing categorical time series with the package ctsfeatures

Ordinal Time Series Analysis with the R Package Iotsfeatures/I

Proyecto COVIDBENS. Seguimiento de la pandemia de COVID-19 en aguas residuales del área metropolitana de A Coruña

Spatial Weighted Robust Clustering of Multivariate Time Series Based on Quantile Dependence With an Application to Mobility During COVID-19 Pandemic

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