Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification

This work presents a novel counterfactual explainability method specifically designed for deep learning models used in multivariate time series classification, enabling better interpretability of model decisions.

Recommended citation: Cetina, A. P., Benguessoum, K., Lourenço, R., & Kubler, S. (2026). "Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification." The 40th Annual AAAI Conference on Artificial Intelligence (Main track).