1. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI);Adadi;IEEE Access,2018
2. Explainability: Relevance based dynamic deep learning algorithm for fault detection and diagnosis in chemical processes;Agarwal;Comput. Chem. Eng.,2021
3. Application of interpretable group-embedded graph neural networks for pure compound properties;Aouichaoui;Comput. Chem. Eng.,2023
4. An analysis of process fault diagnosis methods from safety perspectives;Arunthavanathan;Comput. Chem. Eng.,2021
5. Barocas, S., Friedler, S., Hardt, M.H., Kroll, J., Venkatasubramanian, S., Wallach, H., n.d. The FAT-ML Workshop Series on Fairness, Accountability, and Transparency in Machine Learning [WWW Document]. URL https://www.fatml.org/ (accessed 10.7.23).