Amir Gilad
Amir Gilad
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FEDEX: An Explainability Framework for Data Exploration Steps
Explanations for Data Repair Through Shapley Values
On Optimizing the Trade-off between Privacy and Utility in Data Provenance
PITA: Privacy Through Provenance Abstraction
ExplainED: Explanations for EDA Notebooks
MuSe: Multiple Deletion Semantics for Data Repair
On Multiple Semantics for Declarative Database Repairs
T-REx: Table Repair Explanations
Explaining Missing Query Results in Natural Language
Explaining Natural Language Query Results
Reverse-Engineering Conjunctive Queries from Provenance Examples
NLProveNAns: Natural Language Provenance for Non-Answers
QuestPro: Queries in SPARQL Through Provenance
Natural Language Explanations for Query Results
Efficient Provenance Tracking For Datalog Using Top-K Queries
Interactive Inference of SPARQL Queries Using Provenance
Provenance for Non-Experts
Provenance for Natural Language Queries
NLProv: Natural Language Provenance
QPlain: Query By Explanation
Selective Provenance for Datalog Programs Using Top-K Queries
selP: Selective tracking and presentation of data provenance
Towards web-scale how-provenance
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