Ishan Yash ishanyash

• Brighton
• 13:20 (UTC)

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1. Using Dynamic time warping distances as features for improved time series classification. We use DTW distances between time series as features and then predict the labels.

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2. Implementing Symbolic Aggregate approXimation to find the error rate and accuracy on the UCR timeseries datasets (https://www.cs.ucr.edu/~eamonn/time_series_data/).

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