LIST OF PUBLICATIONS
See also DBLP
- Causal DAG Summarization.
Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi 2025. [PDF] - Fair and Actionable Causal Prescription Ruleset.
Benton Li, Nativ Levy, Brit Youngmann, Sainyam Galhotra, Sudeepa RoySIGMOD 2025. [PDF] - SeerCuts: Explainable Attribute Discretization (demo).
Eugenie Lai, Inbal Croitoru, Noam Bitton, Ariel Shalem, Brit Youngmann, Sainyam Galhotra, El Kindi Rezig, Michael CafarellaSIGMOD 2025. [PDF] - CausaLens: A System for Summarizing Causal DAGs (demo).
Noam Chen, Anna Zeng, Michael Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, Babak SalimiSIGMOD 2025. [PDF] - CauSumX: Summarized Causal Explanations For Group-By-Average Queries (demo).
Nativ Levy,SIGMOD 2025. [PDF] - 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. [PDF] - Toward Standardized Data Preparation: A Bottom-Up Approach.
Eugenie Y. Lai, Yuze Lou, Brit Youngmann, and Michael J. Cafarella. EDBT 2025. [PDF] - Finding Convincing Views to Endorse a Claim.
Shunit Agmon, Amir Gilad, Brit Youngmann, Shahar Zoarets, Benny Kimelfeld. Proc. VLDB Endow. 2024. [PDF] - From Logs to Causal Inference: Diagnosing Large Systems.
Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella. Proc. VLDB Endow. 2024. [PDF] - Sawmill: From Logs to Causal Diagnosis of Large Systems (demo).
Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, and Michael Cafarella. SIGMOD 2024. [PDF] - Summarized Causal Explanations For Aggregate Views.
. SIGMOD 2024. [PDF] - LucidScript: Bottom-up Standardization for Data Preparation (demo).
Eugenie Y. Lai, Yuze Lou, Brit Youngmann, and Michael J. Cafarella. Proc. VLDB Endow. 2024 [PDF] - Causal Data Integration
Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng, PVLDB 2023 [PDF] - NEXUS: On Explaining Confounding Bias (demo)
Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi, SIGMOD 2023 [PDF] - On Explaining Confounding Bias
Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi, ICDE 2023 [PDF] - OREO: Detection of Cherry-picked Generalizations
Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo, PVLDB 2022 [PDF] - EDA4SUM: Guided Exploration of Data Summaries (demo)
Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz, PVLDB 2022 [PDF] - Guided Exploration of Data Summaries
Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz, PVLDB 2022 [PDF] - Intimate Partner Violence as Reflected in Internet Search Data
Brit Youngmann, Elad Yom-Tov Social Science Computer Review 2022 [PDF] - On Detecting Cherry-picked Generalizations
Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo, PVLDB 2021 [PDF] - Algorithmic copywriting: automated generation of health-related advertisements to improve their performance
Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon, Information Retrieval Journal 2021 [PDF] - Improving Constrained Search Results By Data Melioration
Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann, ICDE 2021 [PDF] - SubDEx: Exploring Ratings in Subjective Databases (demo)
Sihem Amer-Yahia, Tova Milo, Brit Youngmann, ICDE 2021 [PDF] - Exploring Ratings in Subjective Databases
Sihem Amer-Yahia, Tova Milo, Brit Youngmann, SOGMOD 2021 [PDF] - Multi-Objective Influence Maximization
Shay Gershtein, Tova Milo, Brit Youngmann, EDBT 2021 [PDF] - CONCIERGE: Improving Constrained Search Results by Data Melioration (demo)
Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann, PVLDB 2020 [PDF] - 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 [PDF] - Contribution Maximization in Probabilistic Datalog
Tova Milo, Yuval Moskovitch, Brit Youngmann, ICDE 2020 [PDF] - Declarative User Selection with Soft Constraints
Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann, CIKM 2019 [PDF] - PODIUM: Probabilistic Datalog Analysis via Contribution Maximization (demo)
Tova Milo, Yuval Moskovitch, Brit Youngmann, CIKM 2019 [PDF] - Boosting SimRank with Semantics
Tova Milo, Amit Somech, Brit Youngmann, EDBT 2019 [PDF] - SimMeme: A Search Engine For Internet Memes
Tova Milo, Amit Somech, Brit Youngmann, ICDE 2019 [PDF] - Detecting Parkinson’s Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient?
Liron Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir, CIKM 2018 [PDF] - IM Balanced: Influence Maximization Under Balance Constraints (demo)
Shay Gershtein, Tova Milo, Brit Youngmann, Gal Zeevi, CIKM 2018 [PDF] - Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking
Brit Youngmann, Elad Yom-Tov, WWW 2018 [PDF] - SimMeme: Semantic Based Meme Search (demo)
Maya Ekron, Tova Milo, Brit Youngmann, CIKM 2017 [PDF] - December: A Declarative Tool for Crowd Member Selection (demo)
Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann, PVLDB, 2016 [PDF]