1. Rule quality measures for rule induction systems: Description and evaluation;An;Computational Intelligence,2001
2. The price of interpretability;Bertsimas,2019
3. Biran, O., & Cotton, C. (2017). Explanation and justification in machine learning: A survey. vol. 8, In IJCAI-17 workshop on explainable AI (XAI) (pp. 8–13). (1).
4. Machine learning explainability through comprehensible decision trees;Blanco-Justicia,2019
5. Machine learning explainability via microaggregation and shallow decision trees;Blanco-Justicia;Knowledge-Based Systems,2020