Interactive Visualization of Counterfactual Explanations for Tabular Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43430-3_25
Reference6 articles.
1. https://www.kaggle.com/datasets/blastchar/telco-customer-churn
2. Bove, C., Aigrain, J., Lesot, M.J., Tijus, C., Detyniecki, M.: Contextualization and exploration of local feature importance explanations to improve understanding and satisfaction of non-expert users. In: Proceedings of the 27th International Conference on Intelligent User Interfaces (IUI), pp. 807–819. Association for Computing Machinery (2022)
3. Garcia-Zanabria, G., Gutierrez-Pachas, D.A., Camara-Chavez, G., Poco, J., Gomez-Nieto, E.: SDA-Vis: a visualization system for student dropout analysis based on counterfactual exploration. Appl. Sci. 12(12), 5785 (2022)
4. Gomez, O., Holter, S., Yuan, J., Bertini, E.: ViCE: visual counterfactual explanations for machine learning models. In: Proceedings of the 25th International Conference on Intelligent User Interfaces (IUI), pp. 531–535. Association for Computing Machinery (2020)
5. Guidotti, R.: Counterfactual explanations and how to find them: literature review and benchmarking. Data Min. Knowl. Discovery, 1–55 (2022)
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