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2020 – today
- 2024
[j10]Brit Youngmann
, Michael J. Cafarella, Amir Gilad, Sudeepa Roy:
Summarized Causal Explanations For Aggregate Views. Proc. ACM Manag. Data 2(1): 71:1-71:27 (2024)- [j9]Eugenie Y. Lai, Yuze Lou, Brit Youngmann, Michael J. Cafarella:
LucidScript: Bottom-up Standardization for Data Preparation. Proc. VLDB Endow. 17(12): 4317-4320 (2024) - [c18]Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella:
Sawmill: From Logs to Causal Diagnosis of Large Systems. SIGMOD Conference Companion 2024: 444-447 - [c17]Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann:
First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion 2024: 661-662 - [i6]Shunit Agmon, Amir Gilad, Brit Youngmann, Shahar Zoarets, Benny Kimelfeld:
Finding Convincing Views to Endorse a Claim. CoRR abs/2408.14974 (2024) - 2023
- [j8]Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng:
Causal Data Integration. Proc. VLDB Endow. 16(10): 2659-2665 (2023) - [c16]Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi:
On Explaining Confounding Bias. ICDE 2023: 1846-1859 - [c15]Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi:
NEXUS: On Explaining Confounding Bias. SIGMOD Conference Companion 2023: 171-174 - [i5]Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng:
Causal Data Integration. CoRR abs/2305.08741 (2023) - 2022
- [j7]Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz:
Guided Exploration of Data Summaries. Proc. VLDB Endow. 15(9): 1798-1807 (2022) - [j6]Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo:
OREO: Detection of Cherry-picked Generalizations. Proc. VLDB Endow. 15(12): 3570-3573 (2022) - [j5]Aurélien Personnaz, Brit Youngmann, Sihem Amer-Yahia:
EDA4SUM: Guided Exploration of Data Summaries. Proc. VLDB Endow. 15(12): 3590-3593 (2022) - [i4]Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz:
Guided Exploration of Data Summaries. CoRR abs/2205.13956 (2022) - [i3]Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi:
On Explaining Confounding Bias. CoRR abs/2210.02943 (2022) - 2021
- [b1]Brit Youngmann:
Customizable Information Network Analysis. Tel Aviv University, Israel, 2021 - [j4]Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon:
Algorithmic copywriting: automated generation of health-related advertisements to improve their performance. Inf. Retr. J. 24(3): 205-239 (2021) - [j3]Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo:
On Detecting Cherry-picked Generalizations. Proc. VLDB Endow. 15(1): 59-71 (2021) - [c14]Shay Gershtein, Tova Milo, Brit Youngmann:
Multi-Objective Influence Maximization. EDBT 2021: 145-156 - [c13]Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann:
Improving Constrained Search Results By Data Melioration. ICDE 2021: 1667-1678 - [c12]Sihem Amer-Yahia, Tova Milo, Brit Youngmann:
SubDEx: Exploring Ratings in Subjective Databases. ICDE 2021: 2653-2656 - [c11]Sihem Amer-Yahia, Tova Milo, Brit Youngmann:
Exploring Ratings in Subjective Databases. SIGMOD Conference 2021: 62-75 - 2020
- [j2]Ido Guy, Tova Milo, Slava Novgorodov, Brit Youngmann:
CONCIERGE: Improving Constrained Search Results by Data Melioration. Proc. VLDB Endow. 13(12): 2865-2868 (2020) - [c10]Tova Milo, Yuval Moskovitch, Brit Youngmann:
Contribution Maximization in Probabilistic Datalog. ICDE 2020: 817-828 - [c9]Brit Youngmann, Elad Yom-Tov, Ran Gilad-Bachrach, Danny Karmon:
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. WWW 2020: 1366-1377
2010 – 2019
- 2019
- [c8]Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann:
Declarative User Selection with Soft Constraints. CIKM 2019: 931-940 - [c7]Tova Milo, Yuval Moskovitch, Brit Youngmann:
PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. CIKM 2019: 2865-2868 - [c6]Brit Youngmann, Tova Milo, Amit Somech:
Boosting SimRank with Semantics. EDBT 2019: 37-48 - [c5]Tova Milo, Amit Somech, Brit Youngmann:
SimMeme: A Search Engine for Internet Memes. ICDE 2019: 974-985 - [i2]Brit Youngmann, Ran Gilad-Bachrach, Danny Karmon, Elad Yom-Tov:
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance. CoRR abs/1910.12274 (2019) - 2018
- [c4]Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir:
Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient? CIKM 2018: 1539-1542 - [c3]Shay Gershtein, Tova Milo, Brit Youngmann, Gal Zeevi:
IM Balanced: Influence Maximization Under Balance Constraints. CIKM 2018: 1919-1922 - [c2]Brit Youngmann, Elad Yom-Tov:
Anxiety and Information Seeking: Evidence From Large-Scale Mouse Tracking. WWW 2018: 753-762 - [i1]Liron I. Allerhand, Brit Youngmann, Elad Yom-Tov, David Arkadir:
Detecting Parkinson's Disease from interactions with a search engine: Is expert knowledge sufficient? CoRR abs/1805.01138 (2018) - 2017
- [c1]Maya Ekron, Tova Milo, Brit Youngmann:
SimMeme: Semantic-Based Meme Search. CIKM 2017: 2455-2458 - 2016
- [j1]Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann:
December: A Declarative Tool for Crowd Member Selection. Proc. VLDB Endow. 9(13): 1485-1488 (2016)
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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