| Anxiety and information seeking: evidence from large-scale mouse tracking B Youngmann, E Yom-Tov Proceedings of the 2018 World Wide Web Conference, 753-762, 2018 | 19 | 2018 |
| A machine learning algorithm successfully screens for Parkinson's in web users B Youngmann, L Allerhand, O Paltiel, E Yom‐Tov, D Arkadir Annals of clinical and translational neurology 6 (12), 2503-2509, 2019 | 15 | 2019 |
| Boosting SimRank with Semantics. B Youngmann, T Milo, A Somech EDBT, 37-48, 2019 | 14* | 2019 |
| Multi-Objective Influence Maximization. S Gershtein, T Milo, B Youngmann EDBT, 145-156, 2021 | 12 | 2021 |
| IM balanced: influence maximization under balance constraints S Gershtein, T Milo, B Youngmann, G Zeevi Proceedings of the 27th ACM International Conference on Information and …, 2018 | 12 | 2018 |
| Simmeme: A search engine for internet memes T Milo, A Somech, B Youngmann 2019 IEEE 35th International Conference on Data Engineering (ICDE), 974-985, 2019 | 7 | 2019 |
| The automated copywriter: Algorithmic rephrasing of health-related advertisements to improve their performance B Youngmann, E Yom-Tov, R Gilad-Bachrach, D Karmon Proceedings of The Web Conference 2020, 1366-1377, 2020 | 6 | 2020 |
| Detecting Parkinson's Disease from interactions with a search engine: Is expert knowledge sufficient? L Allerhand, B Youngmann, E Yom-Tov, D Arkadir Proceedings of the 27th ACM international conference on information and …, 2018 | 6 | 2018 |
| Guided exploration of data summaries B Youngmann, S Amer-Yahia, A Personnaz Proceedings of the VLDB Endowment 15, 1798–1807, 2022 | 5 | 2022 |
| On detecting cherry-picked generalizations Y Lin, B Youngmann, Y Moskovitch, HV Jagadish, T Milo Proceedings of the VLDB Endowment 15 (1), 59-71, 2021 | 5 | 2021 |
| Exploring Ratings in Subjective Databases S Amer-Yahia, T Milo, B Youngmann Proceedings of the 2021 International Conference on Management of Data, 62-75, 2021 | 5 | 2021 |
| December: a declarative tool for crowd member selection Y Amsterdamer, T Milo, A Somech, B Youngmann Proceedings of the VLDB Endowment 9 (13), 1485-1488, 2016 | 5 | 2016 |
| Improving constrained search results by data melioration I Guy, T Milo, S Novgorodov, B Youngmann 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1667-1678, 2021 | 3 | 2021 |
| Declarative user selection with soft constraints Y Amsterdamer, T Milo, A Somech, B Youngmann Proceedings of the 28th ACM International Conference on Information and …, 2019 | 3 | 2019 |
| Causal Data Integration B Youngmann, M Cafarella, B Salimi, A Zeng Proceedings of the VLDB Endowment 16 (10), 2659--2665, 2023 | 2 | 2023 |
| On Explaining Confounding Bias B Youngmann, M Cafarella, Y Moskovitch, B Salimi 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1846-1859, 2023 | 2 | 2023 |
| EDA4SUM: guided exploration of data summaries A Personnaz, B Youngmann, S Amer-Yahia Proceedings of the VLDB Endowment 15 (12), 3590-3593, 2022 | 2 | 2022 |
| Algorithmic copywriting: automated generation of health-related advertisements to improve their performance B Youngmann, E Yom-Tov, R Gilad-Bachrach, D Karmon Information Retrieval Journal 24 (3), 205-239, 2021 | 2 | 2021 |
| SubDEx: Exploring Ratings in Subjective Databases S Amer-Yahia, T Milo, B Youngmann 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2653-2656, 2021 | 2 | 2021 |
| Concierge: improving constrained search results by data melioration I Guy, T Milo, S Novgorodov, B Youngmann Proceedings of the VLDB Endowment 13 (12), 2865-2868, 2020 | 2 | 2020 |
Tova MiloProfessor of Computer Science, Tel Aviv UniversityPotvrđena adresa e-pošte na cs.tau.ac.il
