| A formal approach to finding explanations for database queries S Roy, D Suciu Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 198 | 2014 |
| Using the crowd for top-k and group-by queries SB Davidson, S Khanna, T Milo, S Roy Proceedings of the 16th international conference on database theory, 225-236, 2013 | 160 | 2013 |
| On provenance and privacy SB Davidson, S Khanna, S Roy, J Stoyanovich, V Tannen, Y Chen Proceedings of the 14th International Conference on Database Theory, 3-10, 2011 | 111 | 2011 |
| Tool for translating simulink models into input language of a model checker B Meenakshi, A Bhatnagar, S Roy Formal Methods and Software Engineering: 8th International Conference on …, 2006 | 109 | 2006 |
| Circuits for Datalog Provenance D Deutch, T Milo, S Roy, V Tannen ICDT (to appear), 2014 | 105 | 2014 |
| Causality and explanations in databases A Meliou, S Roy, D Suciu Proceedings of the VLDB Endowment 7 (13), 1715-1716, 2014 | 89 | 2014 |
| Provenance views for module privacy SB Davidson, S Khanna, T Milo, D Panigrahi, S Roy Proceedings of the thirtieth ACM SIGMOD-SIGACT-SIGART symposium on …, 2011 | 86* | 2011 |
| Explaining Query Answers with Explanation-Ready Databases S Roy, L Orr, D Suciu Proceedings of the VLDB Endowment 9 (4), 348-359, 2015 | 81 | 2015 |
| Computing optimal repairs for functional dependencies E Livshits, B Kimelfeld, S Roy ACM Transactions on Database Systems (TODS) 45 (1), 1-46, 2020 | 76 | 2020 |
| FLAME: A fast large-scale almost matching exactly approach to causal inference T Wang, M Morucci, MU Awan, Y Liu, S Roy, C Rudin, A Volfovsky Journal of Machine Learning Research 22 (31), 1-41, 2021 | 55 | 2021 |
| Going beyond provenance: Explaining query answers with pattern-based counterbalances Z Miao, Q Zeng, B Glavic, S Roy Proceedings of the 2019 International Conference on Management of Data, 485-502, 2019 | 53* | 2019 |
| Causal relational learning B Salimi, H Parikh, M Kayali, L Getoor, S Roy, D Suciu Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020 | 50 | 2020 |
| Enabling privacy in provenance-aware workflow systems SB Davidson, S Khanna, J Stoyanovich, V Tannen, S Roy, Y Chen, T Milo | 45 | 2011 |
| Explaining Wrong Queries Using Small Examples Z Miao, S Roy, J Yang Proceedings of the 2019 International Conference on Management of Data, 503-520, 2019 | 43* | 2019 |
| Top-k and clustering with noisy comparisons S Davidson, S Khanna, T Milo, S Roy ACM Transactions on Database Systems (TODS) 39 (4), 1-39, 2014 | 42 | 2014 |
| Automatic translation of simulink models into the input language of a model checker M Balasubramanian, A Bhatnagar, S Roy US Patent 7,698,668, 2010 | 41 | 2010 |
| Computing local sensitivities of counting queries with joins Y Tao, X He, A Machanavajjhala, S Roy Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 39 | 2020 |
| Faster query answering in probabilistic databases using read-once functions S Roy, V Perduca, V Tannen Proceedings of the 14th International Conference on Database Theory, 232-243, 2011 | 34 | 2011 |
| Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases P Beame, J Li, S Roy, D Suciu Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial …, 2013 | 32 | 2013 |
| An optimal labeling scheme for workflow provenance using skeleton labels Z Bao, SB Davidson, S Khanna, S Roy Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 31 | 2010 |
Sanjeev KhannaHenry Salvatori Professor of Computer Science, University of Pennsylvania在 cis.upenn.edu 的电子邮件经过验证