Wykaz obszarów badawczych:
| Obszar badawczy | Dziedzina naukowa |
Time series classification is a popular machine learning task with many practical applications. To date, there have been many papers devoted to the classification of binary and multiclass time series of one and many variables. Thanks to the resources collected on the UEA/UCR Time Series Classification Repository website (https://timeseriesclassification.com/), it is possible to get a preliminary overview of the diversity of methods in this area and of the datasets considered as the so-called benchmark sets of the field. The proposed research area concerns the development of new approaches to time series classification, in particular methods based on neural networks. A related topic is the analysis of time series representation schemes and feature extraction techniques that will be the base for building a classifier. A second related topic is early classification.
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Information and Communication Technology |
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