63 citations · 76 across the 4 of their papers we have counts for
4 papers
Channel masking for multivariate time series shapelets
Dripta S. Raychaudhuri, Josif Grabocka, Lars Schmidt-Thieme
Time series shapelets are discriminative sub-sequences and their similarity to time series can be used for time series classification. Initial shapelet extraction algorithms search…
Optimal Time-Series Motifs
Josif Grabocka, Nicolas Schilling, Lars Schmidt-Thieme
Motifs are the most repetitive/frequent patterns of a time-series. The discovery of motifs is crucial for practitioners in order to understand and interpret the phenomena occurring…
Ultra-Fast Shapelets for Time Series Classification
Martin Wistuba, Josif Grabocka, Lars Schmidt-Thieme
Time series shapelets are discriminative subsequences and their similarity to a time series can be used for time series classification. Since the discovery of time series shapelets…
Scalable Discovery of Time-Series Shapelets
Josif Grabocka, Martin Wistuba, Lars Schmidt-Thieme
Time-series classification is an important problem for the data mining community due to the wide range of application domains involving time-series data. A recent paradigm, called…