List of publications

See also DBLP

• On Explaining Confounding Bias
  Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi, CoRR 2022 [PDF]
• Guided Exploration of Data Summaries
  Brit Youngmann, Sihem Amer-Yahia, Aurélien Personnaz, PVLDB 2022 [PDF]
• EDA4SUM: Guided Exploration of Data Summaries
  Aurélien Personnaz, Brit Youngmann, Sihem Amer-Yahia, PVLDB 2022 [PDF]
• OREO: Detection of Cherry-picked Generalizations
  Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo, PVLDB 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]

Teaching

Software 1, 2016-2019 (Teaching Assistant)

Python programing, 2019 (Course Instructor)