A time series analysis method using Shapelets and Fischer Linear Discriminant.
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Updated
Jun 28, 2024 - C++
A time series analysis method using Shapelets and Fischer Linear Discriminant.
Time series classification to identify the state of human activity.
Adversarially-Built Shapelets Algorithm
Implementation (VHDL) and verification of the accelerator proposed in the paper "Hardware Accelerator for Shapelet Distance Computation in Time-Series Classification", from May 2020
Shapelet model creator for SAGECal
Uncertain times séries classification
Multivariate Asynchronous Random Shapelets
Motif-guided time series counterfactual explanations (ICPR 2022)
Implementation of Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets
Theoretically guaranteed shapelet-learning algorithm
Scalable and Accurate Subsequence Transform
Repository for "Data Mining - Advanced Topics and Applications" projects exam.
C# binding for Khiva library.
This repo contains useful links to research papers and implementations of shapelets discovery/learning techniques from different sources.
Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification
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.
Code for "Generalised Interpretable Shapelets for Irregular Time Series"
A software package for statistically significant shapelet mining
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