Yuval Moskovitch

Orcid: 0000-0002-0325-7392

Affiliations:
  • Ben-Gurion University of the Negev, Department of Computer Science, Beersheba, Israel
  • University of Michigan, Ann Arbor, MI, USA (former)
  • Tel Aviv University, Israel (former)


According to our database1, Yuval Moskovitch authored at least 35 papers between 2013 and 2024.

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Timeline

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Bibliography

2024
Rodeo: Making Refinements for Diverse Top-k Queries.
Proc. VLDB Endow., August, 2024

Query Refinement for Diverse Top-k Selection.
Proc. ACM Manag. Data, 2024

2023
ERICA: Query Refinement for Diversity Constraint Satisfaction.
Proc. VLDB Endow., 2023

Query Refinement for Diversity Constraint Satisfaction.
Proc. VLDB Endow., 2023

NEXUS: On Explaining Confounding Bias.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Dexer: Detecting and Explaining Biased Representation in Ranking.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

On Explaining Confounding Bias.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Detection of Groups with Biased Representation in Ranking.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
OREO: Detection of Cherry-picked Generalizations.
Proc. VLDB Endow., 2022

Reliability at multiple stages in a data analysis pipeline.
Commun. ACM, 2022

Bias analysis and mitigation in data-driven tools using provenance.
Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 2022

2021
On Detecting Cherry-picked Generalizations.
Proc. VLDB Endow., 2021

DENOUNCER: Detection of Unfairness in Classifiers.
Proc. VLDB Endow., 2021

On Optimizing the Trade-off between Privacy and Utility in Data Provenance.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Patterns Count-Based Labels for Datasets.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

PITA: Privacy Through Provenance Abstraction.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
COUNTATA: Dataset Labeling Using Pattern Counts.
Proc. VLDB Endow., 2020

Equivalence-Invariant Algebraic Provenance for Hyperplane Update Queries.
Proceedings of the 2020 International Conference on Management of Data, 2020

Contribution Maximization in Probabilistic Datalog.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Towards Inferring Queries from Simple and Partial Provenance Examples.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Provenance for Data-Centric Applications
PhD thesis, 2019

Datalignment: Ontology Schema Alignment Through Datalog Containment.
Proc. VLDB Endow., 2019

Hypothetical Reasoning via Provenance Abstraction.
Proceedings of the 2019 International Conference on Management of Data, 2019

COBRA: Compression Via Abstraction of Provenance for Hypothetical Reasoning.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

PODIUM: Probabilistic Datalog Analysis via Contribution Maximization.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Efficient provenance tracking for datalog using top-k queries.
VLDB J., 2018

Towards Hypothetical Reasoning Using Distributed Provenance.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
POLYTICS: Provenance-Based Analytics of Data-Centric Applications.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Analyzing data-centric applications: Why, what-if, and how-to.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Provenance-based analysis of data-centric processes.
VLDB J., 2015

Selective Provenance for Datalog Programs Using Top-K Queries.
Proc. VLDB Endow., 2015

Towards web-scale how-provenance.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

selP: Selective tracking and presentation of data provenance.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
A Provenance Framework for Data-Dependent Process Analysis.
Proc. VLDB Endow., 2014

2013
PROPOLIS: Provisioned Analysis of Data-Centric Processes.
Proc. VLDB Endow., 2013


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