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Fusion Methods for Time-Series Classification

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Krisztian Buza

Contents: Survey of the state-of-the-art in time-series classification – Individual Quality Estimation – Speeding-up time series classification using instance selection – GRAMOFON, a graph-based ensemble framework – Fusion of time series distance measures – Discovery of recurrent patterns (motifs) in time series – Applications to electrocardiograph signals and web-science problems.