Karl Øyvind Mikalsen

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Similarity-based approaches represent a promising direction for time series analysis. However, many such methods rely on parameter tuning and have shortcomings if the time series are multivariate (MTS) and contain missing data. In this paper, we address these challenges within the powerful context of kernel methods by proposing the robust time series(More)
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