Provenance for aggregate queries. - Yael Amsterdamer; Daniel Deutch; Val Tannen (PODS, 2011)

On the Limitations of Provenance for Queries with Difference. - Yael Amsterdamer; Daniel Deutch; Val Tannen (TaPP, 2011)

On the optimality of top-k algorithms for Interactive Web Applications. - Yael Amsterdamer; Daniel Deutch; Tova Milo (WebDB, 2011)

Putting Lipstick on Pig: Enabling Database-style Workflow Provenance. - Yael Amsterdamer; Susan B. Davidson; Daniel Deutch; Tova Milo; Julia Stoyanovich; Val Tannen (Proc. VLDB Endow., 2011)

Finding optimal probabilistic generators for XML collections. - Serge Abiteboul; Yael Amsterdamer; Daniel Deutch; Tova Milo; Pierre Senellart (ICDT, 2012)

Auto-completion learning for XML. - Serge Abiteboul; Yael Amsterdamer; Tova Milo; Pierre Senellart (SIGMOD Conference, 2012)

On Provenance Minimization. - Yael Amsterdamer; Daniel Deutch; Tova Milo; Val Tannen (ACM Trans. Database Syst., 2012)

Crowd mining. - Yael Amsterdamer; Yael Grossman; Tova Milo; Pierre Senellart (SIGMOD Conference, 2013)

CrowdMiner: Mining association rules from the crowd. - Yael Amsterdamer; Yael Grossman; Tova Milo; Pierre Senellart (Proc. VLDB Endow., 2013)

Uncertainty in Crowd Data Sourcing Under Structural Constraints. - Antoine Amarilli; Yael Amsterdamer; Tova Milo (DASFAA Workshops, 2014)

On the Complexity of Mining Itemsets from the Crowd Using Taxonomies. - Antoine Amarilli; Yael Amsterdamer; Tova Milo (ICDT, 2014)

OASSIS: query driven crowd mining. - Yael Amsterdamer; Susan B. Davidson; Tova Milo; Slava Novgorodov; Amit Somech (SIGMOD Conference, 2014)

Ontology Assisted Crowd Mining. - Yael Amsterdamer; Susan B. Davidson; Tova Milo; Slava Novgorodov; Amit Somech (Proc. VLDB Endow., 2014)

Foundations of Crowd Data Sourcing. - Yael Amsterdamer; Tova Milo (SIGMOD Rec., 2014)

Managing General and Individual Knowledge in Crowd Mining Applications. - Yael Amsterdamer; Susan B. Davidson; Anna Kukliansky; Tova Milo; Slava Novgorodov; Amit Somech (CIDR, 2015)

NL2CM: A Natural Language Interface to Crowd Mining. - Yael Amsterdamer; Anna Kukliansky; Tova Milo (SIGMOD Conference, 2015)

Optimal Probabilistic Generation of XML Documents. - Serge Abiteboul; Yael Amsterdamer; Daniel Deutch; Tova Milo; Pierre Senellart (Theory Comput. Syst., 2015)

A Natural Language Interface for Querying General and Individual Knowledge. - Yael Amsterdamer; Anna Kukliansky; Tova Milo (Proc. VLDB Endow., 2015)

December: A Declarative Tool for Crowd Member Selection. - Yael Amsterdamer; Tova Milo; Amit Somech; Brit Youngmann (Proc. VLDB Endow., 2016)

Toward semantic image similarity from crowdsourced clustering. - Yanir Kleiman; George Goldberg; Yael Amsterdamer; Daniel Cohen-Or (Vis. Comput., 2016)

PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World. - Yael Amsterdamer; Oded Goldreich 002 (CIKM, 2017)

Interactive Abstractive Summarization for Event News Tweets. - Ori Shapira; Hadar Ronen; Meni Adler; Yael Amsterdamer; Judit Bar-Ilan; Ido Dagan (EMNLP (System Demonstrations), 2017)

Top-k Querying of Unknown Values under Order Constraints. - Antoine Amarilli; Yael Amsterdamer; Tova Milo; Pierre Senellart (ICDT, 2017)

Top-k Querying of Unknown Values under Order Constraints (Extended Version). - Antoine Amarilli; Yael Amsterdamer; Tova Milo; Pierre Senellart (CoRR, 2017)

Evaluating Multiple System Summary Lengths: A Case Study. - Ori Shapira; David Gabay; Hadar Ronen; Judit Bar-Ilan; Yael Amsterdamer; Ani Nenkova; Ido Dagan (EMNLP, 2018)

Crowd Mining and Analysis. - Yael Amsterdamer; Tova Milo (Encyclopedia of Database Systems (2nd ed.), 2018)

Declarative User Selection with Soft Constraints. - Yael Amsterdamer; Tova Milo; Amit Somech; Brit Youngmann (CIKM, 2019)

PePPer: Fine-Grained Personal Access Control via Peer Probing. - Yael Amsterdamer; Osnat Drien (ICDE, 2019)

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. - Ori Shapira; David Gabay; Yang Gao 021; Hadar Ronen; Ramakanth Pasunuru; Mohit Bansal; Yael Amsterdamer; Ido Dagan (NAACL-HLT (1), 2019)

Diverse User Selection for Opinion Procurement. - Yael Amsterdamer; Oded Goldreich 002 (EDBT, 2020)

Towards Fine-Grained Data Access Control Through Active Peer Probing. - Yael Amsterdamer; Osnat Drien (EDBT, 2020)

Evaluating Interactive Summarization: an Expansion-Based Framework. - Ori Shapira; Ramakanth Pasunuru; Hadar Ronen; Mohit Bansal; Yael Amsterdamer; Ido Dagan (CoRR, 2020)

Automated Selection of Multiple Datasets for Extension by Integration. - Yael Amsterdamer; Moran Cohen (CIKM, 2021)

SPARQLIt: Interactive SPARQL Query Refinement. - Yael Amsterdamer; Yehuda Callen (ICDE, 2021)

Managing Consent for Data Access in Shared Databases. - Osnat Drien; Antoine Amarilli; Yael Amsterdamer (ICDE, 2021)

Extending Multi-Document Summarization Evaluation to the Interactive Setting. - Ori Shapira; Ramakanth Pasunuru; Hadar Ronen; Mohit Bansal; Yael Amsterdamer; Ido Dagan (NAACL-HLT, 2021)

Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. - Ori Shapira; Ramakanth Pasunuru; Ido Dagan; Yael Amsterdamer (CoRR, 2021)

Interactive Knowledge Graph Querying Through Examples and Facets. - Yael Amsterdamer; Laura Gáspár (ADBIS (Short Papers), 2022)

Provenance-Based SPARQL Query Formulation. - Yael Amsterdamer; Yehuda Callen (DEXA (1), 2022)

Interactive Query-Assisted Summarization via Deep Reinforcement Learning. - Ori Shapira; Ramakanth Pasunuru; Mohit Bansal; Ido Dagan; Yael Amsterdamer (NAACL-HLT, 2022)

aiDM'22: Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. - Rajesh Bordawekar; Yael Amsterdamer; Donatella Firmani; Ryan Marcus; Oded Shmueli (SIGMOD Conference, 2022)

SubTab: Data Exploration with Informative Sub-Tables. - Kathy Razmadze; Yael Amsterdamer; Amit Somech; Susan B. Davidson; Tova Milo (SIGMOD Conference, 2022)

Worst-case analysis for interactive evaluation of Boolean provenance. - Antoine Amarilli; Yael Amsterdamer (TaPP, 2022)

ActivePDB: Active Probabilistic Databases. - Osnat Drien; Matanya Freiman; Yael Amsterdamer (Proc. VLDB Endow., 2022)

Diversity and Inclusion Activities in Database Conferences: A 2021 Report. - Sihem Amer-Yahia; Yael Amsterdamer; Sourav S. Bhowmick; Angela Bonifati; Philippe Bonnet; Renata Borovica-Gajic; Barbara Catania; Tania Cerquitelli; Silvia Chiusano; Panos K. Chrysanthis; Carlo Curino; Jérôme Darmont; et al. (SIGMOD Rec., 2022)

Selecting Sub-tables for Data Exploration. - Yael Amsterdamer; Susan B. Davidson; Tova Milo; Kathy Razmadze; Amit Somech (ICDE, 2023)

Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). - Rajesh Bordawekar; Oded Shmueli; Yael Amsterdamer; Donatella Firmani; Andreas Kipf (SIGMOD Conference Companion, 2023)

Query-Guided Resolution in Uncertain Databases. - Osnat Drien; Matanya Freiman; Antoine Amarilli; Yael Amsterdamer (Proc. ACM Manag. Data, 2023)

Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. - Sihem Amer-Yahia; Divyakant Agrawal; Yael Amsterdamer; Sourav S. Bhowmick; Angela Bonifati; Renata Borovica-Gajic; Jesús Camacho-Rodríguez; Barbara Catania; Panos K. Chrysanthis; Carlo Curino; Jérôme Darmont; Gillian Dobbie; et al. (SIGMOD Rec., 2023)

CleanEr: Interactive, Query-Guided Error Mitigation for Data Cleaning Systems. - Ran Schreiber; Yael Amsterdamer (ICDE, 2024)

Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). - Rajesh Bordawekar; Oded Shmueli; Yael Amsterdamer; Renata Borovica-Gajic; Donatella Firmani (SIGMOD Conference Companion, 2024)

Interactive SPARQL query formulation using provenance. - Yael Amsterdamer; Yehuda Callen (Knowl. Inf. Syst., 2024)

Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. - Sihem Amer-Yahia; Divyakant Agrawal; Yael Amsterdamer; Sourav S. Bhowmick; Renata Borovica-Gajic; Jesús Camacho-Rodríguez; Jinli Cao; Barbara Catania; Panos K. Chrysanthis; Carlo Curino; Amr El Abbadi; Avrilia Floratou; et al. (SIGMOD Rec., 2024)