Explaining black-box algorithms using probabilistic contrastive counterfactuals S Galhotra, R Pradhan, B Salimi Proceedings of the 2021 International Conference on Management of Data, 577-590, 2021 | 123 | 2021 |
Interpretable Data-Based Explanations for Fairness Debugging R Pradhan, J Zhu, B Glavic, B Salimi Proceedings of the 2022 International Conference on Management of Data, 247–261, 2022 | 63 | 2022 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research R Pradhan, A Lahiri, S Galhotra, B Salimi Proceedings of the 2022 International Conference on Management of Data, 2452 …, 2022 | 28 | 2022 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research R Pradhan, A Lahiri, S Galhotra, B Salimi 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3209-3212, 2022 | 28 | 2022 |
Staging user feedback toward rapid conflict resolution in data fusion R Pradhan, S Bykau, S Prabhakar Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 18 | 2017 |
Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis PY Wang, S Galhotra, R Pradhan, B Salimi Proceedings of the VLDB Endowment, 2021 | 12 | 2021 |
Feature Attribution and Recourse via Probabilistic Contrastive Counterfactuals S Galhotra, R Pradhan, B Salimi ICML Workshop on Algorithmic Recourse, 2021 | 6 | 2021 |
Leveraging data relationships to resolve conflicts from disparate data sources R Pradhan, WG Aref, S Prabhakar Database and Expert Systems Applications: 29th International Conference …, 2018 | 5 | 2018 |
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher J Zhu, R Pradhan, B Glavic, B Salimi Proceedings of the 2022 International Conference on Management of Data, 2433 …, 2022 | 3 | 2022 |
A Framework to Integrate User Feedback for Rapid Conflict Resolution R Pradhan, S Bykau, S Prabhakar 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1589-1592, 2018 | 2 | 2018 |
Example-based Explanations for Random Forests using Machine Unlearning T Surve, R Pradhan arXiv preprint arXiv:2402.05007, 2024 | 1 | 2024 |
AuthIntegrate: Toward Combating False Data on the Internet R Pradhan, S Prabhakar International Workshop on Truth Discovery and Fact Checking: Theory and …, 2019 | | 2019 |
Guided Data Fusion R Pradhan Purdue University, 2018 | | 2018 |
Pay-as-you-go Feedback in Data Quality Systems R Pradhan, S Bykau, S Prabhakar | | 2015 |
Predicting interaction network and access patterns in social networks R Pradhan, PN Shankaranarayanan | | |