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Amir Gilad
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Selective provenance for datalog programs using top-k queries
D Deutch, A Gilad, Y Moskovitch
Proceedings of the VLDB Endowment 8 (12), 1394-1405, 2015
502015
Provenance for natural language queries
D Deutch, N Frost, A Gilad
Proceedings of the VLDB Endowment 10 (5), 577-588, 2017
442017
QPlain: Query by explanation
D Deutch, A Gilad
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 1358-1361, 2016
282016
Explaining natural language query results
D Deutch, N Frost, A Gilad
The VLDB Journal 29 (1), 485-508, 2020
242020
Reverse-Engineering Conjunctive Queries from Provenance Examples.
D Deutch, A Gilad
EDBT, 277-288, 2019
202019
Hyper: Hypothetical reasoning with what-if and how-to queries using a probabilistic causal approach
S Galhotra, A Gilad, S Roy, B Salimi
Proceedings of the 2022 International Conference on Management of Data, 1598 …, 2022
172022
Efficient provenance tracking for datalog using top-k queries
D Deutch, A Gilad, Y Moskovitch
The VLDB Journal 27, 245-269, 2018
162018
On Multiple Semantics for Declarative Database Repairs
A Gilad, D Deutch, S Roy
15*
On optimizing the trade-off between privacy and utility in data provenance
D Deutch, A Frankenthal, A Gilad, Y Moskovitch
Proceedings of the 2021 International Conference on Management of Data, 379-391, 2021
142021
Synthesizing linked data under cardinality and integrity constraints
A Gilad, S Patwa, A Machanavajjhala
Proceedings of the 2021 International Conference on Management of Data, 619-631, 2021
132021
ExplainED: explanations for EDA notebooks
D Deutch, A Gilad, T Milo, A Somech
Proceedings of the VLDB Endowment 13 (12), 2917-2920, 2020
132020
Interactive inference of SPARQL queries using provenance
E Abramovitz, D Deutch, A Gilad
2018 IEEE 34th International Conference on Data Engineering (ICDE), 581-592, 2018
132018
Nlprov: Natural language provenance
D Deutch, N Frost, A Gilad
Proceedings of the VLDB Endowment 9 (13), 1537-1540, 2016
132016
Explanations for data repair through shapley values
D Deutch, N Frost, A Gilad, O Sheffer
Proceedings of the 30th ACM International Conference on Information …, 2021
122021
selP: selective tracking and presentation of data provenance
D Deutch, A Gilad, Y Moskovitch
2015 IEEE 31st International Conference on Data Engineering, 1484-1487, 2015
122015
Fedex: An explainability framework for data exploration steps
D Deutch, A Gilad, T Milo, A Mualem, A Somech
arXiv preprint arXiv:2209.06260, 2022
112022
Nlprovenans: natural language provenance for non-answers
D Deutch, N Frost, A Gilad, T Haimovich
Proceedings of the VLDB Endowment 11 (12), 1986-1989, 2018
102018
Dpxplain: Privately explaining aggregate query answers
Y Tao, A Gilad, A Machanavajjhala, S Roy
arXiv preprint arXiv:2209.01286, 2022
92022
Explaining Missing Query Results in Natural Language.
D Deutch, N Frost, A Gilad, T Haimovich, A Bonifati, Y Zhou, MAV Salles, ...
EDBT, 427-430, 2020
92020
Prefair: Privately generating justifiably fair synthetic data
D Pujol, A Gilad, A Machanavajjhala
arXiv preprint arXiv:2212.10310, 2022
82022
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Artiklar 1–20