| Provenance for aggregate queries Y Amsterdamer, D Deutch, V Tannen Proceedings of the thirtieth ACM SIGMOD-SIGACT-SIGART symposium on …, 2011 | 244 | 2011 |
| Putting Lipstick on Pig: Enabling Database-style Workflow Provenance Y Amsterdamer, SB Davidson, D Deutch, T Milo, J Stoyanovich, V Tannen Proceedings of the VLDB Endowment 5 (4), 346-357, 2011 | 209 | 2011 |
| Crowd mining Y Amsterdamer, Y Grossman, T Milo, P Senellart Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 112 | 2013 |
| Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation O Shapira, D Gabay, Y Gao, H Ronen, R Pasunuru, M Bansal, ... arXiv preprint arXiv:1904.05929, 2019 | 80 | 2019 |
| On the limitations of provenance for queries with difference Y Amsterdamer, D Deutch, V Tannen 3rd USENIX Workshop on the Theory and Practice of Provenance (TaPP 11), 2011 | 56 | 2011 |
| OASSIS: query driven crowd mining Y Amsterdamer, SB Davidson, T Milo, S Novgorodov, A Somech Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 46 | 2014 |
| On provenance minimization Y Amsterdamer, D Deutch, T Milo, V Tannen ACM Transactions on Database Systems (TODS) 37 (4), 1-36, 2012 | 45 | 2012 |
| On provenance minimization Y Amsterdamer, D Deutch, T Milo, V Tannen The 2011 ACM SIGMOD/PODS Conference, 12, 2011 | 45 | 2011 |
| CrowdMiner: Mining association rules from the crowd Y Amsterdamer, Y Grossman, T Milo, P Senellart Proceedings of the VLDB Endowment 6 (12), 1250-1253, 2013 | 34 | 2013 |
| Interactive Abstractive Summarization for Event News Tweets O Shapira, H Ronen, M Adler, Y Amsterdamer, J Bar-Ilan, I Dagan Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 33 | 2017 |
| A Natural Language Interface for Querying General and Individual Knowledge Y Amsterdamer, A Kukliansky, T Milo Proceedings of the VLDB Endowment 8 (12), 1430-1441, 2015 | 29 | 2015 |
| Extending Multi-Document Summarization Evaluation to the Interactive Setting O Shapira, R Pasunuru, H Ronen, M Bansal, Y Amsterdamer, I Dagan Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 27 | 2021 |
| On the Complexity of Mining Itemsets from the Crowd Using Taxonomies A Amarilli, Y Amsterdamer, T Milo ICDT, 15-25, 2014 | 26 | 2014 |
| Foundations of Crowd Data Sourcing Y Amsterdamer, T Milo ACM SIGMOD Record 43 (4), 5-14, 2014 | 23 | 2014 |
| Uncertainty in crowd data sourcing under structural constraints A Amarilli, Y Amsterdamer, T Milo International Conference on Database Systems for Advanced Applications, 351-359, 2014 | 20 | 2014 |
| Interactive Query-Assisted Summarization via Deep Reinforcement Learning O Shapira, R Pasunuru, M Bansal, I Dagan, Y Amsterdamer Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 19 | 2022 |
| Managing General and Individual Knowledge in Crowd Mining Applications. Y Amsterdamer, SB Davidson, A Kukliansky, T Milo, S Novgorodov, ... CIDR, 2015 | 19 | 2015 |
| NL2CM: A Natural Language Interface to Crowd Mining Y Amsterdamer, A Kukliansky, T Milo Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 17 | 2015 |
| Toward semantic image similarity from crowdsourced clustering Y Kleiman, G Goldberg, Y Amsterdamer, D Cohen-Or The Visual Computer 32 (6), 1045-1055, 2016 | 16 | 2016 |
| Finding optimal probabilistic generators for XML collections S Abiteboul, Y Amsterdamer, D Deutch, T Milo, P Senellart Proceedings of the 15th International Conference on Database Theory, 127-139, 2012 | 15* | 2012 |
Tova MiloProfessor of Computer Science, Tel Aviv UniversityVerified email at cs.tau.ac.il
