Yael Amsterdamer

67 papers A* 8A 8B 2Journal 27Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Query-Guided Analysis and Mitigation of Data Verification Errors (Extended Version).
CoRR
Ran Schreiber, Yael Amsterdamer
2024 A* conf
CleanEr: Interactive, Query-Guided Error Mitigation for Data Cleaning Systems.
ICDE
Ran Schreiber, Yael Amsterdamer
2024 J jnl
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report.
SIGMOD Rec.
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, Juliana Freire, Stratos Idreos, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Fatma Özcan, Liat Peterfreund, Soror Sahri, Sana Sellami, Roee Shraga, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Genoveva Vargas-Solar, Meihui Zhang, Wenjie Zhang
2024 J jnl
Interactive SPARQL query formulation using provenance.
Knowl. Inf. Syst.
Yael Amsterdamer, Yehuda Callen
2024 — conf
Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM).
SIGMOD Conference Companion
Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Renata Borovica-Gajic, Donatella Firmani
2023 J jnl
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report.
SIGMOD Rec.
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, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang
2023 — ed.
Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2023, Seattle, WA, USA, 18 June 2023
aiDM@SIGMOD
Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf
2023 J jnl
Query-Guided Resolution in Uncertain Databases.
Proc. ACM Manag. Data
Osnat Drien, Matanya Freiman, Antoine Amarilli, Yael Amsterdamer
2023 A* conf
Selecting Sub-tables for Data Exploration.
ICDE
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech
2023 — conf
Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM).
SIGMOD Conference Companion
Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf
2022 J jnl
ActivePDB: Active Probabilistic Databases.
Proc. VLDB Endow.
Osnat Drien, Matanya Freiman, Yael Amsterdamer
2022 J jnl
Diversity and Inclusion Activities in Database Conferences: A 2021 Report.
SIGMOD Rec.
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, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Meihui Zhang
2022 — conf
Interactive Knowledge Graph Querying Through Examples and Facets.
ADBIS (Short Papers)
Yael Amsterdamer, Laura Gáspár
2022 — conf
Interactive Query-Assisted Summarization via Deep Reinforcement Learning.
NAACL-HLT
Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer
2022 — conf
Provenance-Based SPARQL Query Formulation.
DEXA (1)
Yael Amsterdamer, Yehuda Callen
2022 J jnl
Selecting Sub-tables for Data Exploration.
CoRR
Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo
2022 — conf
SubTab: Data Exploration with Informative Sub-Tables.
SIGMOD Conference
Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo
2022 J jnl
Worst-case Analysis for Interactive Evaluation of Boolean Provenance.
CoRR
Antoine Amarilli, Yael Amsterdamer
2022 — conf
Worst-case analysis for interactive evaluation of Boolean provenance.
TaPP
Antoine Amarilli, Yael Amsterdamer
2022 — ed.
aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022
aiDM@SIGMOD
Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Ryan Marcus
2022 — conf
aiDM'22: Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management.
SIGMOD Conference
Rajesh Bordawekar, Yael Amsterdamer, Donatella Firmani, Ryan Marcus, Oded Shmueli
2021 A conf
Automated Selection of Multiple Datasets for Extension by Integration.
CIKM
Yael Amsterdamer, Moran Cohen
2021 — conf
Extending Multi-Document Summarization Evaluation to the Interactive Setting.
NAACL-HLT
Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan
2021 A* conf
Managing Consent for Data Access in Shared Databases.
ICDE
Osnat Drien, Antoine Amarilli, Yael Amsterdamer
2021 J jnl
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset.
CoRR
Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer
2021 A* conf
SPARQLIt: Interactive SPARQL Query Refinement.
ICDE
Yael Amsterdamer, Yehuda Callen
2021 — ed.
aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, Virtual Event, China, 25 June, 2021.
aiDM@SIGMOD
Rajesh Bordawekar, Yael Amsterdamer, Oded Shmueli, Nesime Tatbul
2020 B conf
Diverse User Selection for Opinion Procurement.
EDBT
Yael Amsterdamer, Oded Goldreich
2020 J jnl
Evaluating Interactive Summarization: an Expansion-Based Framework.
CoRR
Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan
2020 B conf
Towards Fine-Grained Data Access Control Through Active Peer Probing.
EDBT
Yael Amsterdamer, Osnat Drien
2019 — conf
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.
NAACL-HLT (1)
Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan
2019 J jnl
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.
CoRR
Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan
2019 A conf
Declarative User Selection with Soft Constraints.
CIKM
Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
2019 A* conf
PePPer: Fine-Grained Personal Access Control via Peer Probing.
ICDE
Yael Amsterdamer, Osnat Drien
2018 A ed.
21st International Conference on Database Theory, ICDT 2018, Vienna, Austria, March 26-29, 2018
ICDT
Benny Kimelfeld, Yael Amsterdamer
2018 — ch.
Crowd Mining and Analysis.
Encyclopedia of Database Systems (2nd ed.)
Yael Amsterdamer, Tova Milo
2018 A* conf
Evaluating Multiple System Summary Lengths: A Case Study.
EMNLP
Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova, Ido Dagan
2017 — conf
Interactive Abstractive Summarization for Event News Tweets.
EMNLP (System Demonstrations)
Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, Ido Dagan
2017 A conf
PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World.
CIKM
Yael Amsterdamer, Oded Goldreich
2017 J jnl
Top-k Querying of Unknown Values under Order Constraints (Extended Version).
CoRR
Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart
2017 A conf
Top-k Querying of Unknown Values under Order Constraints.
ICDT
Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart
2016 J jnl
December: A Declarative Tool for Crowd Member Selection.
Proc. VLDB Endow.
Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann
2016 J jnl
Toward semantic image similarity from crowdsourced clustering.
Vis. Comput.
Yanir Kleiman, George Goldberg, Yael Amsterdamer, Daniel Cohen-Or
2015 J jnl
A Natural Language Interface for Querying General and Individual Knowledge.
Proc. VLDB Endow.
Yael Amsterdamer, Anna Kukliansky, Tova Milo
2015 A conf
Managing General and Individual Knowledge in Crowd Mining Applications.
CIDR
Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech
2015 — conf
NL
SIGMOD Conference
Yael Amsterdamer, Anna Kukliansky, Tova Milo
2015 J jnl
Optimal Probabilistic Generation of XML Documents.
Theory Comput. Syst.
Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart
2014 J jnl
Foundations of Crowd Data Sourcing.
SIGMOD Rec.
Yael Amsterdamer, Tova Milo
2014 — conf
OASSIS: query driven crowd mining.
SIGMOD Conference
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech
2014 A conf
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies.
ICDT
Antoine Amarilli, Yael Amsterdamer, Tova Milo
2014 J jnl
Ontology Assisted Crowd Mining.
Proc. VLDB Endow.
Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech
2014 — conf
Uncertainty in Crowd Data Sourcing Under Structural Constraints.
DASFAA Workshops
Antoine Amarilli, Yael Amsterdamer, Tova Milo
2014 J jnl
Uncertainty in Crowd Data Sourcing under Structural Constraints.
CoRR
Antoine Amarilli, Yael Amsterdamer, Tova Milo
2013 — conf
Crowd mining.
SIGMOD Conference
Yael Amsterdamer, Yael Grossman, Tova Milo, Pierre Senellart
2013 J jnl
CrowdMiner: Mining association rules from the crowd.
Proc. VLDB Endow.
Yael Amsterdamer, Yael Grossman, Tova Milo, Pierre Senellart
2013 J jnl
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies.
CoRR
Antoine Amarilli, Yael Amsterdamer, Tova Milo
2012 — conf
Auto-completion learning for XML.
SIGMOD Conference
Serge Abiteboul, Yael Amsterdamer, Tova Milo, Pierre Senellart
2012 A conf
Finding optimal probabilistic generators for XML collections.
ICDT
Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart
2012 J jnl
On Provenance Minimization.
ACM Trans. Database Syst.
Yael Amsterdamer, Daniel Deutch, Tova Milo, Val Tannen
2012 J jnl
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance
CoRR
Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen
2011 A* conf
On provenance minimization.
PODS
Yael Amsterdamer, Daniel Deutch, Tova Milo, Val Tannen
2011 J jnl
On the Limitations of Provenance for Queries With Difference
CoRR
Yael Amsterdamer, Daniel Deutch, Val Tannen
2011 — conf
On the Limitations of Provenance for Queries with Difference.
TaPP
Yael Amsterdamer, Daniel Deutch, Val Tannen
2011 — conf
On the optimality of top-k algorithms for Interactive Web Applications.
WebDB
Yael Amsterdamer, Daniel Deutch, Tova Milo
2011 J jnl
Provenance for Aggregate Queries
CoRR
Yael Amsterdamer, Daniel Deutch, Val Tannen
2011 A* conf
Provenance for aggregate queries.
PODS
Yael Amsterdamer, Daniel Deutch, Val Tannen
2011 J jnl
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance.
Proc. VLDB Endow.
Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen