XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

Understand

Multivariate Time Series (MTS) classification has gained importance over the past decade with the increase in the number of temporal datasets in multiple domains.

• The current state-of-the-art MTS classifier is a heavyweight deep learning approach, which outperforms the second-best MTS classifier only on large datasets.
• Moreover, this deep learning approach cannot provide faithful explanations as it relies on post hoc model-agnostic explainability methods, which could prevent its use in numerous applications.
• In this paper, we present XCM, an eXplainable Convolutional neural network for MTS classification.