Brit Youngmann

53 papers A* 8A 5B 3Journal 28Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Silenced Biases: The Dark Side LLMs Learned to Refuse. AAAI Rom Himelstein, Amit Levi, Brit Youngmann, Yaniv Nemcovsky, Avi Mendelson
2025	J	`jnl`	Analyzing Deviations from Monotonic Trends through Database Repair. CoRR Shunit Agmon, Jonathan Gal, Amir Gilad, Ester Livshits, Or Mutay, Brit Youngmann, Benny Kimelfeld
2025	—	`conf`	Are Copywriters the Best Humans for the Job? The Case of Health-Related Ads. WWW (Companion Volume) Liat Levontin, Baillie Shuster, Elad Yom-Tov, Brit Youngmann
2025	—	`conf`	CauSumX: Summarized Causal Explanations For Group-By-Average Queries. SIGMOD Conference Companion Nativ Levy, Michael J. Cafarella, Amir Gilad, Sudeepa Roy, Brit Youngmann
2025	—	`conf`	CausaLens: A System for Summarizing Causal DAGs. SIGMOD Conference Companion Noam Chen, Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, Babak Salimi
2025	J	`jnl`	Causal DAG Summarization (Full Version). CoRR Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi
2025	J	`jnl`	Causal DAG Summarization. Proc. VLDB Endow. Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi
2025	J	`jnl`	Causal Explanations for Disparate Trends: Where and Why? CoRR Tal Blau, Brit Youngmann, Anna Fariha, Yuval Moskovitch
2025	J	`jnl`	ClaimIt: Finding Convincing Views to Endorse a Claim. Proc. VLDB Endow. Shunit Agmon, David Avigdor, Brit Youngmann, Amir Gilad, Benny Kimelfeld
2025	J	`jnl`	Fair and Actionable Causal Prescription Ruleset. CoRR Benton Li, Nativ Levy, Brit Youngmann, Sainyam Galhotra, Sudeepa Roy
2025	J	`jnl`	Fair and Actionable Causal Prescription Ruleset. Proc. ACM Manag. Data Benton Li, Nativ Levy, Brit Youngmann, Sainyam Galhotra, Sudeepa Roy
2025	—	`conf`	SeerCuts: Explainable Attribute Discretization. SIGMOD Conference Companion Eugenie Y. Lai, Inbal Croitoru, Noam Bitton, Ariel Shalem, Brit Youngmann, Sainyam Galhotra, El Kindi Rezig, Michael J. Cafarella
2025	J	`jnl`	Silenced Biases: The Dark Side LLMs Learned to Refuse. CoRR Rom Himelstein, Amit Levi, Brit Youngmann, Yaniv Nemcovsky, Avi Mendelson
2025	J	`jnl`	Stress-Testing Causal Claims via Cardinality Repairs. CoRR Yarden Gabbay, Haoquan Guan, Shaull Almagor, El Kindi Rezig, Brit Youngmann, Babak Salimi
2025	B	`conf`	Toward Standardized Data Preparation: A Bottom-Up Approach. EDBT Eugenie Y. Lai, Yuze Lou, Brit Youngmann, Michael J. Cafarella
2024	J	`jnl`	Finding Convincing Views to Endorse a Claim. CoRR Shunit Agmon, Amir Gilad, Brit Youngmann, Shahar Zoarets, Benny Kimelfeld
2024	J	`jnl`	Finding Convincing Views to Endorse a Claim. Proc. VLDB Endow. Shunit Agmon, Amir Gilad, Brit Youngmann, Shahar Zoarets, Benny Kimelfeld
2024	—	`conf`	First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann
2024	J	`jnl`	From Logs to Causal Inference: Diagnosing Large Systems. Proc. VLDB Endow. Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
2024	J	`jnl`	LucidScript: Bottom-up Standardization for Data Preparation. Proc. VLDB Endow. Eugenie Y. Lai, Yuze Lou, Brit Youngmann, Michael J. Cafarella
2024	—	`conf`	Sawmill: From Logs to Causal Diagnosis of Large Systems. SIGMOD Conference Companion Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
2024	J	`jnl`	Summarized Causal Explanations For Aggregate Views (Full version). CoRR Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
2024	J	`jnl`	Summarized Causal Explanations For Aggregate Views. Proc. ACM Manag. Data Brit Youngmann, Michael J. Cafarella, Amir Gilad, Sudeepa Roy
2023	J	`jnl`	Causal Data Integration. CoRR Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng
2023	J	`jnl`	Causal Data Integration. Proc. VLDB Endow. Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng
2023	—	`conf`	NEXUS: On Explaining Confounding Bias. SIGMOD Conference Companion Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2023	A*	`conf`	On Explaining Confounding Bias. ICDE Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2022	J	`jnl`	EDA4SUM: Guided Exploration of Data Summaries. Proc. VLDB Endow. Aurélien Personnaz, Brit Youngmann, Sihem Amer-Yahia
2022	J	`jnl`	Guided Exploration of Data Summaries. CoRR Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz
2022	J	`jnl`	Guided Exploration of Data Summaries. Proc. VLDB Endow. Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz
2022	J	`jnl`	OREO: Detection of Cherry-picked Generalizations. Proc. VLDB Endow. Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo
2022	J	`jnl`	On Explaining Confounding Bias. CoRR Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2021	J	`jnl`	Algorithmic copywriting: automated generation of health-related advertisements to improve their performance. Inf. Retr. J. Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon
2021	—	`—`	Customizable Information Network Analysis Brit Youngmann
2021	—	`conf`	Exploring Ratings in Subjective Databases. SIGMOD Conference Sihem Amer-Yahia, Tova Milo, Brit Youngmann
2021	A*	`conf`	Improving Constrained Search Results By Data Melioration. ICDE Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann
2021	B	`conf`	Multi-Objective Influence Maximization. EDBT Shay Gershtein, Tova Milo, Brit Youngmann
2021	J	`jnl`	On Detecting Cherry-picked Generalizations. Proc. VLDB Endow. Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo
2021	A*	`conf`	SubDEx: Exploring Ratings in Subjective Databases. ICDE Sihem Amer-Yahia, Tova Milo, Brit Youngmann
2020	J	`jnl`	CONCIERGE: Improving Constrained Search Results by Data Melioration. Proc. VLDB Endow. Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann
2020	A*	`conf`	Contribution Maximization in Probabilistic Datalog. ICDE Tova Milo, Yuval Moskovitch, Brit Youngmann
2020	A*	`conf`	The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. WWW Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon
2019	B	`conf`	Boosting SimRank with Semantics. EDBT Brit Youngmann, Tova Milo, Amit Somech
2019	A	`conf`	Declarative User Selection with Soft Constraints. CIKM Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
2019	A	`conf`	PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. CIKM Tova Milo, Yuval Moskovitch, Brit Youngmann
2019	A*	`conf`	SimMeme: A Search Engine for Internet Memes. ICDE Tova Milo, Amit Somech, Brit Youngmann
2019	J	`jnl`	The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. CoRR Brit Youngmann, Ran Gilad-Bachrach, Danny Karmon, Elad Yom-Tov
2018	A*	`conf`	Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking. WWW Brit Youngmann, Elad Yom-Tov
2018	A	`conf`	Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient? CIKM Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir
2018	J	`jnl`	Detecting Parkinson's Disease from interactions with a search engine: Is expert knowledge sufficient? CoRR Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir
2018	A	`conf`	IM Balanced: Influence Maximization Under Balance Constraints. CIKM Shay Gershtein, Tova Milo, Brit Youngmann, Gal Zeevi
2017	A	`conf`	SimMeme: Semantic-Based Meme Search. CIKM Maya Ekron, Tova Milo, Brit Youngmann
2016	J	`jnl`	December: A Declarative Tool for Crowd Member Selection. Proc. VLDB Endow. Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann