We stand with Ukraine

We stand with Ukraine

Hazar Harmouch

Orcid: 0000-0001-9967-5347

Affiliations:

University of Amsterdam, The Netherlands
Hasso-Plattner-Institut, Potsdam, Germany (former)

According to our database¹, Hazar Harmouch authored at least 21 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

On csauthors.net:

Bibliography

2026

A Catalog of Data Errors.

[DOI]

Divya Bhadauria

,

,

,

Divesh Srivastava

,

CoRR, April, 2026

Machine Learning Practitioners' Views on Data Quality in Light of EU Regulatory Requirements: A European Online Survey.

[DOI]

,

,

,

CoRR, February, 2026

"Detective Work We Shouldn't Have to Do": Practitioner Challenges in Regulatory-Aligned Data Quality in Machine Learning Systems.

[DOI]

,

,

,

CoRR, February, 2026

2025

Fault Lines: Benchmarking the Impact of Label Data Quality on ML Robustness and Fairness.

[DOI]

,

,

Proc. VLDB Endow., December, 2025

Editorial: Special Issue on Data quality dimensions in Data FAIRification design and processes.

[DOI]

Anna Bernasconi

,

Stefano Cirillo

,

Alberto García S.

,

ACM J. Data Inf. Qual., December, 2025

BASIL DB: bioactive semantic integration and linking database.

[DOI]

,

,

J. Biomed. Semant., December, 2025

The Five Facets of Data Quality Assessment.

[DOI]

,

,

,

,

Divesh Srivastava

SIGMOD Rec., June, 2025

The effects of data quality on machine learning performance on tabular data.

[DOI]

,

,

Moritz Feuerpfeil

,

,

Andrea Nathansen

,

Nele Sina Noack

,

Hendrik Patzlaff

,

,

Inf. Syst., 2025

Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy.

[DOI]

,

,

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

Data Quality in the Age of AI.

[DOI]

,

,

,

,

Divesh Srivastava

Proceedings of the Advances in Databases and Information Systems, 2025

2024

Data Quality Assessment: Challenges and Opportunities.

[DOI]

,

,

,

Divesh Srivastava

CoRR, 2024

13th International Workshop on Quality in Databases: Preface.

[DOI]

Sourav S. Bhowmick

,

,

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

2023

Preface QDB.

[DOI]

,

,

,

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

How Data Quality Determines AI Fairness: The Case of Automated Interviewing.

[DOI]

Lou Therese Brandner

,

,

,

,

,

Simon David Hirsbrunner

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

The Effects of Data Quality on ML-Model Performance.

[DOI]

,

Moritz Feuerpfeil

,

,

Andrea Nathansen

,

Nele Sina Noack

,

Hendrik Patzlaff

,

,

CoRR, 2022

2021

Relational Header Discovery using Similarity Search in a Table Corpus.

[DOI]

,

Thorsten Papenbrock

,

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Single-column data profiling.

[DOI]

PhD thesis, 2020

2019

Discovery of Genuine Functional Dependencies from Relational Data with Missing Values.

[DOI]

Laure Berti-Équille

,

,

,

,

Saravanan Thirumuruganathan

Proceedings of the Actes du XXXVIIème Congrès INFORSID, Paris, France, June 11-14, 2019., 2019

Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen Algorithms.

[DOI]

,

,

Fabian Windheuser

,

,

,

,

Tobias Bleifuß

,

,

,

Thorsten Papenbrock

,

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017

Cardinality Estimation: An Experimental Survey.

[DOI]

,

Proc. VLDB Endow., 2017

2016

Data Anamnesis: Admitting Raw Data into an Organization.

[DOI]

Sebastian Kruse

,

Thorsten Papenbrock

,

,

IEEE Data Eng. Bull., 2016

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