December: A Declarative Tool for Crowd Member Selection. - Yael Amsterdamer; Tova Milo; Amit Somech; Brit Youngmann (Proc. VLDB Endow., 2016)

SimMeme: Semantic-Based Meme Search. - Maya Ekron; Tova Milo; Brit Youngmann (CIKM, 2017)

Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient? - Liron I. Allerhand; Brit Youngmann; Elad Yom-Tov; David Arkadir (CIKM, 2018)

IM Balanced: Influence Maximization Under Balance Constraints. - Shay Gershtein; Tova Milo; Brit Youngmann; Gal Zeevi (CIKM, 2018)

Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking. - Brit Youngmann; Elad Yom-Tov (WWW, 2018)

Declarative User Selection with Soft Constraints. - Yael Amsterdamer; Tova Milo; Amit Somech; Brit Youngmann (CIKM, 2019)

PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. - Tova Milo; Yuval Moskovitch; Brit Youngmann (CIKM, 2019)

Boosting SimRank with Semantics. - Brit Youngmann; Tova Milo; Amit Somech (EDBT, 2019)

SimMeme: A Search Engine for Internet Memes. - Tova Milo; Amit Somech; Brit Youngmann (ICDE, 2019)

Contribution Maximization in Probabilistic Datalog. - Tova Milo; Yuval Moskovitch; Brit Youngmann (ICDE, 2020)

The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. - Brit Youngmann; Elad Yom-Tov; Ran Gilad-Bachrach; Danny Karmon (WWW, 2020)

CONCIERGE: Improving Constrained Search Results by Data Melioration. - Ido Guy; Tova Milo; Slava Novgorodov; Brit Youngmann (Proc. VLDB Endow., 2020)

Multi-Objective Influence Maximization. - Shay Gershtein; Tova Milo; Brit Youngmann (EDBT, 2021)

SubDEx: Exploring Ratings in Subjective Databases. - Sihem Amer-Yahia; Tova Milo; Brit Youngmann (ICDE, 2021)

Improving Constrained Search Results By Data Melioration. - Ido Guy; Tova Milo; Slava Novgorodov; Brit Youngmann (ICDE, 2021)

Exploring Ratings in Subjective Databases. - Sihem Amer-Yahia; Tova Milo; Brit Youngmann (SIGMOD Conference, 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)

On Detecting Cherry-picked Generalizations. - Yin Lin; Brit Youngmann; Yuval Moskovitch; H. V. Jagadish; Tova Milo (Proc. VLDB Endow., 2021)

Customizable Information Network Analysis - Brit Youngmann (2021)

OREO: Detection of Cherry-picked Generalizations. - Yin Lin; Brit Youngmann; Yuval Moskovitch; H. V. Jagadish; Tova Milo (Proc. VLDB Endow., 2022)

EDA4SUM: Guided Exploration of Data Summaries. - Aurélien Personnaz; Brit Youngmann; Sihem Amer-Yahia (Proc. VLDB Endow., 2022)

Guided Exploration of Data Summaries. - Brit Youngmann; Sihem Amer-Yahia; Aurélien Personnaz (Proc. VLDB Endow., 2022)

On Explaining Confounding Bias. - Brit Youngmann; Michael J. Cafarella; Yuval Moskovitch; Babak Salimi (ICDE, 2023)

NEXUS: On Explaining Confounding Bias. - Brit Youngmann; Michael J. Cafarella; Yuval Moskovitch; Babak Salimi (SIGMOD Conference Companion, 2023)

Causal Data Integration. - Brit Youngmann; Michael J. Cafarella; Babak Salimi; Anna Zeng (Proc. VLDB Endow., 2023)

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 (SIGMOD Conference Companion, 2024)

Sawmill: From Logs to Causal Diagnosis of Large Systems. - Markos Markakis; An Bo Chen; Brit Youngmann; Trinity Gao; Ziyu Zhang 002; Rana Shahout; Peter Baile Chen; Chunwei Liu; Ibrahim Sabek; Michael J. Cafarella (SIGMOD Conference Companion, 2024)

Summarized Causal Explanations For Aggregate Views (Full version). - Brit Youngmann; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001 (CoRR, 2024)

Summarized Causal Explanations For Aggregate Views. - Brit Youngmann; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001 (Proc. ACM Manag. Data, 2024)

LucidScript: Bottom-up Standardization for Data Preparation. - Eugenie Y. Lai; Yuze Lou; Brit Youngmann; Michael J. Cafarella (Proc. VLDB Endow., 2024)

Finding Convincing Views to Endorse a Claim. - Shunit Agmon; Amir Gilad; Brit Youngmann; Shahar Zoarets; Benny Kimelfeld (Proc. VLDB Endow., 2024)

From Logs to Causal Inference: Diagnosing Large Systems. - Markos Markakis; Brit Youngmann; Trinity Gao; Ziyu Zhang 002; Rana Shahout; Peter Baile Chen; Chunwei Liu; Ibrahim Sabek; Michael J. Cafarella (Proc. VLDB Endow., 2024)

Toward Standardized Data Preparation: A Bottom-Up Approach. - Eugenie Y. Lai; Yuze Lou; Brit Youngmann; Michael J. Cafarella (EDBT, 2025)

CausaLens: A System for Summarizing Causal DAGs. - Noam Chen; Anna Zeng; Michael J. Cafarella; Batya Kenig; Markos Markakis; Oren Mishali; Brit Youngmann; Babak Salimi (SIGMOD Conference Companion, 2025)

SeerCuts: Explainable Attribute Discretization. - Eugenie Y. Lai; Inbal Croitoru; Noam Bitton; Ariel Shalem; Brit Youngmann; Sainyam Galhotra; El Kindi Rezig; Michael J. Cafarella (SIGMOD Conference Companion, 2025)

CauSumX: Summarized Causal Explanations For Group-By-Average Queries. - Nativ Levy; Michael J. Cafarella; Amir Gilad; Sudeepa Roy 001; Brit Youngmann (SIGMOD Conference Companion, 2025)

Are Copywriters the Best Humans for the Job? The Case of Health-Related Ads. - Liat Levontin; Baillie Shuster; Elad Yom-Tov; Brit Youngmann (WWW (Companion Volume), 2025)

Causal DAG Summarization. - Anna Zeng; Michael J. Cafarella; Batya Kenig; Markos Markakis; Brit Youngmann; Babak Salimi (Proc. VLDB Endow., 2025)

Causal DAG Summarization (Full Version). - Anna Zeng; Michael J. Cafarella; Batya Kenig; Markos Markakis; Brit Youngmann; Babak Salimi (CoRR, 2025)

Fair and Actionable Causal Prescription Ruleset. - Benton Li; Nativ Levy; Brit Youngmann; Sainyam Galhotra; Sudeepa Roy 001 (Proc. ACM Manag. Data, 2025)