1. Dash, S., Günlük, O., Wei, D.: Boolean decision rules via column generation. In: Proceedings of the 32nd International Conference on Neural Information Processing Systems, NIPS 2018, pp. 4660–4670. Curran Associates Inc., Red Hook, NY, USA (2018)
2. Dhurandhar, A., et al.: Explanations based on the missing: towards contrastive explanations with pertinent negatives. In: Proceedings of the 32nd International Conference on Neural Information Processing Systems, NIPS 2018, pp. 590–601. Curran Associates Inc., Red Hook, NY, USA (2018)
3. Doshi-Velez, F., Kim, B.: Towards a rigorous science of interpretable machine learning. arXiv 1702.08608 v2, arXiv.org E-Print Archive (2017). 10.48550/arXiv. 1702.08608
4. Dua, D., Graff, C.: UCI machine learning repository (2017). www.archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)
5. Eckstein, J., Hammer, P.L., Liu, Y., Nediak, M., Simeone, B.: The maximum box problem and its application to data analysis. Comput. Optim. Appl. 23(3), 285–298 (2002). https://doi.org/10.1023/a:1020546910706