Early classification of time series is the task of performing a classification as early as possible for an incoming time series, and decision about when to ...
Mar 3, 2022 · Early Time-Series Classification (ETSC) is the task of predicting the class of incoming time-series by observing as few measurements as ...
Early time series classification (eTSC) is the problem of classifying a time series after as few measurements as possible with the highest possible accuracy.
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Feb 1, 2024 · Early Time-Series Classification (ETSC) is the task of predicting the class of incoming time-series by observing as few measure- ments as ...
Early time series classification is a variant of the time series classification task, in which a label must be assigned to the incoming time series as ...
Jun 2, 2021 · In this paper, we put forward a new optimization criterion which takes into account both the cost of misclassification and the cost of delaying the decision.
In this paper, we formulate the problem of early classification of time series data, which is important in some time-sensitive applications such as health- ...
Sep 28, 2020 · A primary task of an early classification approach is to classify an incomplete time series as soon as possible with some desired level of ...
In this work, we present an End-to-End Learned Early Classification of Time Series (ELECTS) model that estimates a classification score and a probability of ...
ABSTRACT. This paper provides an overview of current literature on time series classification approaches, in particular of early time series classification.