| 2026 | ICDE | Query-Guided Analysis and Mitigation of Data Verification Errors. | Ran Schreiber, Yael Amsterdamer |
| 2024 | ICDE | CleanEr: Interactive, Query-Guided Error Mitigation for Data Cleaning Systems. | Ran Schreiber, Yael Amsterdamer |
| 2024 | SIGMOD | Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). | Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Renata Borovica-Gajic, Donatella Firmani |
| 2023 | ICDE | Selecting Sub-tables for Data Exploration. | Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech |
| 2023 | SIGMOD | Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). | Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf |
| 2022 | ADBIS | Interactive Knowledge Graph Querying Through Examples and Facets. | Yael Amsterdamer, Laura Gspr |
| 2022 | DEXA | Provenance-Based SPARQL Query Formulation. | Yael Amsterdamer, Yehuda Callen |
| 2022 | NAACL | Interactive Query-Assisted Summarization via Deep Reinforcement Learning. | Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer |
| 2022 | SIGMOD | aiDM'22: Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. | Rajesh Bordawekar, Yael Amsterdamer, Donatella Firmani, Ryan Marcus, Oded Shmueli |
| 2022 | SIGMOD | SubTab: Data Exploration with Informative Sub-Tables. | Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo |
| 2021 | CIKM | Automated Selection of Multiple Datasets for Extension by Integration. | Yael Amsterdamer, Moran Cohen |
| 2021 | ICDE | SPARQLIt: Interactive SPARQL Query Refinement. | Yael Amsterdamer, Yehuda Callen |
| 2021 | ICDE | Managing Consent for Data Access in Shared Databases. | Osnat Drien, Antoine Amarilli, Yael Amsterdamer |
| 2021 | NAACL | Extending Multi-Document Summarization Evaluation to the Interactive Setting. | Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan |
| 2020 | EDBT | Diverse User Selection for Opinion Procurement. | Yael Amsterdamer, Oded Goldreich |
| 2020 | EDBT | Towards Fine-Grained Data Access Control Through Active Peer Probing. | Yael Amsterdamer, Osnat Drien |
| 2019 | CIKM | Declarative User Selection with Soft Constraints. | Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann |
| 2019 | ICDE | PePPer: Fine-Grained Personal Access Control via Peer Probing. | Yael Amsterdamer, Osnat Drien |
| 2019 | NAACL | Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. | Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan |
| 2018 | EMNLP | Evaluating Multiple System Summary Lengths: A Case Study. | Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova, Ido Dagan |
| 2017 | CIKM | PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World. | Yael Amsterdamer, Oded Goldreich |
| 2017 | EMNLP | Interactive Abstractive Summarization for Event News Tweets. | Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, Ido Dagan |
| 2017 | ICDT | Top-k Querying of Unknown Values under Order Constraints. | Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart |
| 2015 | CIDR | Managing General and Individual Knowledge in Crowd Mining Applications. | Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech |
| 2015 | SIGMOD | NL | Yael Amsterdamer, Anna Kukliansky, Tova Milo |
| 2014 | DASFAA | Uncertainty in Crowd Data Sourcing Under Structural Constraints. | Antoine Amarilli, Yael Amsterdamer, Tova Milo |
| 2014 | ICDT | On the Complexity of Mining Itemsets from the Crowd Using Taxonomies. | Antoine Amarilli, Yael Amsterdamer, Tova Milo |
| 2014 | SIGMOD | OASSIS: query driven crowd mining. | Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech |
| 2013 | SIGMOD | Crowd mining. | Yael Amsterdamer, Yael Grossman, Tova Milo, Pierre Senellart |
| 2012 | ICDT | Finding optimal probabilistic generators for XML collections. | Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart |
| 2012 | SIGMOD | Auto-completion learning for XML. | Serge Abiteboul, Yael Amsterdamer, Tova Milo, Pierre Senellart |
| 2011 | PODS | On provenance minimization. | Yael Amsterdamer, Daniel Deutch, Tova Milo, Val Tannen |
| 2011 | PODS | Provenance for aggregate queries. | Yael Amsterdamer, Daniel Deutch, Val Tannen |