Feature Importance Identification for Time Series Classifiers
(2022)
Conference Proceeding
Meng, H., Wagner, C., & Triguero, I. (2022). Feature Importance Identification for Time Series Classifiers. In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (3293-3298). https://doi.org/10.1109/smc53654.2022.9945205
Time series classification is a challenging research area where machine learning techniques such as deep learning perform well, yet lack interpretability. Identifying the most important features for such classifiers provides a pathway to improving th... Read More about Feature Importance Identification for Time Series Classifiers.