1. Machine learning models and algorithms for big data classification;Suthaharan;Integr. Ser. Inf. Syst,2016
2. ” why should i trust you?” explaining the predictions of any classifier;Ribeiro,2016
3. A unified approach to interpreting model predictions;Lundberg;Advances in neural information processing systems,2017
4. Opportunities and challenges in explainable artificial intelligence (xai): A survey;Das;arXiv preprint arXiv:2006.11371,2020
5. A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C