1. S. M. Lundberg and S.-I. Lee , "A unified approach to interpreting model predictions," in Proceedings of the 31st International Conference on Neural Information Processing Systems, Red Hook, NY , USA , Dec. 2017 , pp. 4768 -- 4777 . S. M. Lundberg and S.-I. Lee, "A unified approach to interpreting model predictions," in Proceedings of the 31st International Conference on Neural Information Processing Systems, Red Hook, NY, USA, Dec. 2017, pp. 4768--4777.
2. M. T. Ribeiro , S. Singh , and C. Guestrin , "" Why Should I Trust You?': Explaining the Predictions of Any Classifier," in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY , USA , Aug. 2016 , pp. 1135 -- 1144 . M. T. Ribeiro, S. Singh, and C. Guestrin, ""Why Should I Trust You?': Explaining the Predictions of Any Classifier," in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, Aug. 2016, pp. 1135--1144.
3. A. Ghandeharioun , B. Kim , C.-L. Li , B. Jou , B. Eoff , and R. W. Picard , " DISSECT: Disentangled Simultaneous Explanations via Concept Traversals," ArXiv210515164 Cs , Feb. 2022 . A. Ghandeharioun, B. Kim, C.-L. Li, B. Jou, B. Eoff, and R. W. Picard, "DISSECT: Disentangled Simultaneous Explanations via Concept Traversals," ArXiv210515164 Cs, Feb. 2022.
4. B. Kim , C. Rudin , and J. Shah , " The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification ," p. 9 , 2015 . B. Kim, C. Rudin, and J. Shah, "The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification," p. 9, 2015.
5. H. Lakkaraju , E. Kamar , R. Caruana , and J. Leskovec , " Interpretable & Explorable Approximations of Black Box Models," ArXiv170701154 Cs , Jul. 2017 . H. Lakkaraju, E. Kamar, R. Caruana, and J. Leskovec, "Interpretable & Explorable Approximations of Black Box Models," ArXiv170701154 Cs, Jul. 2017.