Author:
Kumar Sunil,Sarraf Shagun,Kar Arpan Kumar,Ilavarasan P. Vigneswara
Publisher
Springer International Publishing
Reference79 articles.
1. Berk, R. A., & Bleich, J. (2013). Statistical procedures for forecasting criminal behavior: A comparative assessment. Criminology and Public Policy, 12, 513.
2. Tan, S., Caruana, R., Hooker, G., & Lou, Y. (2018). Distill-and-compare: Auditing black-box models using transparent model distillation. In Proceedings of the 2018 AAAI/ACM conference on AI, ethics, and society (pp. 303–310).
3. Chancellor, S., Baumer, E. P., & De Choudhury, M. (2019). Who is the “human” in human centered machine learning: The case of predicting mental health from social media. In Proceedings of the ACM on human-computer interaction (CSCW) (vol. 3, pp. 1–32).
4. Holzinger, A., Biemann, C., Pattichis, C. S., & Kell, D. B. (2017). What do we need to build explainable AI systems for the medical domain?. arXiv preprint arXiv:1712.09923.
5. Katuwal, G. J., & Chen, R. (2016). Machine learning model interpretability for precision medicine. arXiv preprint arXiv:1610.09045.