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Machine learning for multivariate time series with the R package mlmts
(Elsevier B.V., 2023-06)
[Abstract]: Time series data are ubiquitous nowadays. Whereas most of the literature on the topic deals with univariate time series, multivariate time series have typically received much less attention. However, the ...
Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain
(Springer, 2023-07)
[Abstract]: Wastewater-based epidemiology has been widely used as a cost-effective method for tracking the COVID-19 pandemic at the community level. Here we describe COVIDBENS, a wastewater surveillance program running ...
Two novel distances for ordinal time series and their application to fuzzy clustering
(Elsevier B.V., 2023-09-30)
[Abstract]: Time series clustering is a central machine learning task with applications in many fields. While the majority of the methods focus on real-valued time series, very few works consider series with discrete ...
Ordinal Time Series Analysis with the R Package otsfeatures
(MDPI, 2023-06)
[Abstract] The 21st century has witnessed a growing interest in the analysis of time series data. While most of the literature on the topic deals with real-valued time series, ordinal time series have typically received ...