Code base for the paper: Babayev, R., & Wiese, L. (2021, August). Interpreting Decision-Making Process for Multivariate Time Series Classification. In European Conference on Advances in Databases and Information Systems (pp. 146-152). Springer, Cham.

Link for the paper: Springer link

To run dimension independent classifiers presented in the paper Interpreting decision-making process for multivariate time series classification, use the .ipynb file at experiments/notebooks/dimension_independent_classifiers.ipynb

To run the explainability experiments presented in the paper Interpreting decision-making process for multivariate time series classification, use the .ipynb file at experiments/notebooks/mts_explain.ipynb

The first step to run the experiments is to install environment.yml file with the command conda env create -f environment.yml