Code for "Generalised Interpretable Shapelets for Irregular Time Series"
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Updated
Jul 6, 2023 - Jupyter Notebook
Code for "Generalised Interpretable Shapelets for Irregular Time Series"
Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.
Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification
Implementation of Shapelet Transformation for Classification of Time Series] https://dl.acm.org/doi/pdf/10.1145/2339530.2339579
Implementation (VHDL) and verification of the accelerator proposed in the paper "Hardware Accelerator for Shapelet Distance Computation in Time-Series Classification", from May 2020
Time series classification to identify the state of human activity.
Semester project for my Machine Learning course: Classification of human motion through custom time series positional data shapelet transformations.
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