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Sudeepa Roy
Sudeepa Roy
Duke University, Computer Science
Verified email at cs.duke.edu - Homepage
Title
Cited by
Cited by
Year
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
1572014
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
1552013
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
982011
Tool for translating simulink models into input language of a model checker
B Meenakshi, A Bhatnagar, S Roy
International Conference on Formal Engineering Methods, 606-620, 2006
982006
Circuits for Datalog Provenance
D Deutch, T Milo, S Roy, V Tannen
ICDT (to appear), 2014
802014
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
80*2011
Causality and explanations in databases
A Meliou, S Roy, D Suciu
Proceedings of the VLDB Endowment 7 (13), 1715-1716, 2014
672014
Explaining Query Answers with Explanation-Ready Databases
S Roy, L Orr, D Suciu
Proceedings of the VLDB Endowment 9 (4), 348-359, 2015
582015
Enabling privacy in provenance-aware workflow systems
SB Davidson, S Khanna, S Roy, J Stoyanovich, V Tannen, Y Chen, T Milo
412011
Computing optimal repairs for functional dependencies
E Livshits, B Kimelfeld, S Roy
ACM Transactions on Database Systems (TODS) 45 (1), 1-46, 2020
372020
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
362010
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
332014
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
J. Mach. Learn. Res. 22, 31:1-31:41, 2021
312021
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
302011
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
302010
Privacy issues in scientific workflow provenance
SB Davidson, S Khanna, S Roy, SC Boulakia
Proceedings of the 1st International Workshop on Workflow Approaches to New …, 2010
292010
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
262013
Optimizing user views for workflows
O Biton, SB Davidson, S Khanna, S Roy
Proceedings of the 12th International Conference on Database Theory, 310-323, 2009
242009
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
202020
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
202019
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Articles 1–20