Brit Youngmann

According to our database, Brit Youngmann authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LucidScript: Bottom-up Standardization for Data Preparation.

Eugenie Y. Lai, Yuze Lou, Brit Youngmann, Michael J. Cafarella

Proc. VLDB Endow., August, 2024

Summarized Causal Explanations For Aggregate Views.

Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy

Proc. ACM Manag. Data, February, 2024

Finding Convincing Views to Endorse a Claim.

Shunit Agmon, Amir Gilad, Brit Youngmann, Shahar Zoarets, Benny Kimelfeld

CoRR, 2024

Sawmill: From Logs to Causal Diagnosis of Large Systems.

Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI).

Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

Causal Data Integration.

Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng

Proc. VLDB Endow., 2023

NEXUS: On Explaining Confounding Bias.

Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

On Explaining Confounding Bias.

Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Guided Exploration of Data Summaries.

Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz

Proc. VLDB Endow., 2022

EDA4SUM: Guided Exploration of Data Summaries.

Aurélien Personnaz, Brit Youngmann, Sihem Amer-Yahia

Proc. VLDB Endow., 2022

OREO: Detection of Cherry-picked Generalizations.

Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo

Proc. VLDB Endow., 2022

2021

Customizable Information Network Analysis

Brit Youngmann

PhD thesis, 2021

On Detecting Cherry-picked Generalizations.

Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo

Proc. VLDB Endow., 2021

Algorithmic copywriting: automated generation of health-related advertisements to improve their performance.

Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon

Inf. Retr. J., 2021

Exploring Ratings in Subjective Databases.

Sihem Amer-Yahia, Tova Milo, Brit Youngmann

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Improving Constrained Search Results By Data Melioration.

Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann

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

SubDEx: Exploring Ratings in Subjective Databases.

Sihem Amer-Yahia, Tova Milo, Brit Youngmann

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

Multi-Objective Influence Maximization.

Shay Gershtein, Tova Milo, Brit Youngmann

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

CONCIERGE: Improving Constrained Search Results by Data Melioration.

Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann

Proc. VLDB Endow., 2020

The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance.

Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Contribution Maximization in Probabilistic Datalog.

Tova Milo, Yuval Moskovitch, Brit Youngmann

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

SimMeme: A Search Engine for Internet Memes.

Tova Milo, Amit Somech, Brit Youngmann

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Boosting SimRank with Semantics.

Brit Youngmann, Tova Milo, Amit Somech

Proceedings of the Advances in Database Technology, 2019

PODIUM: Probabilistic Datalog Analysis via Contribution Maximization.

Tova Milo, Yuval Moskovitch, Brit Youngmann

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

Declarative User Selection with Soft Constraints.

Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann

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

2018

Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking.

Brit Youngmann, Elad Yom-Tov

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

IM Balanced: Influence Maximization Under Balance Constraints.

Shay Gershtein, Tova Milo, Brit Youngmann, Gal Zeevi

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient?

Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

SimMeme: Semantic-Based Meme Search.

Maya Ekron, Tova Milo, Brit Youngmann

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

December: A Declarative Tool for Crowd Member Selection.

Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann

Proc. VLDB Endow., 2016