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ORCIDYael Amsterdamer
Person information
- affiliation: Bar Ilan University, Ramat Gan, Israel
- affiliation (former): Tel Aviv University, Israel
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2020 – today
- 2024
[j15]Yael Amsterdamer
, Yehuda Callen:
Interactive SPARQL query formulation using provenance. Knowl. Inf. Syst. 66(3): 2165-2191 (2024)- [j14]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:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2023 Report. SIGMOD Rec. 53(2): 63-67 (2024) - [c35]Ran Schreiber, Yael Amsterdamer:
CleanEr: Interactive, Query-Guided Error Mitigation for Data Cleaning Systems. ICDE 2024: 5421-5424 - [c34]Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Renata Borovica-Gajic, Donatella Firmani:
Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). SIGMOD Conference Companion 2024: 649-650 - 2023
- [j13]Osnat Drien, Matanya Freiman, Antoine Amarilli, Yael Amsterdamer:
Query-Guided Resolution in Uncertain Databases. Proc. ACM Manag. Data 1(2): 180:1-180:27 (2023) - [j12]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:
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52(2): 38-42 (2023) - [c33]Yael Amsterdamer, Susan B. Davidson, Tova Milo, Kathy Razmadze, Amit Somech:
Selecting Sub-tables for Data Exploration. ICDE 2023: 2496-2509 - [c32]Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf:
Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). SIGMOD Conference Companion 2023: 303-304 - [e4]Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Andreas Kipf:
Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2023, Seattle, WA, USA, 18 June 2023. ACM 2023 [contents] - 2022
- [j11]Osnat Drien, Matanya Freiman, Yael Amsterdamer:
ActivePDB: Active Probabilistic Databases. Proc. VLDB Endow. 15(12): 3638-3641 (2022) - [j10]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:
Diversity and Inclusion Activities in Database Conferences: A 2021 Report. SIGMOD Rec. 51(2): 69-73 (2022) - [c31]Yael Amsterdamer, Laura Gáspár:
Interactive Knowledge Graph Querying Through Examples and Facets. ADBIS (Short Papers) 2022: 201-211 - [c30]Yael Amsterdamer, Yehuda Callen:
Provenance-Based SPARQL Query Formulation. DEXA (1) 2022: 116-129 - [c29]Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer:
Interactive Query-Assisted Summarization via Deep Reinforcement Learning. NAACL-HLT 2022: 2551-2568 - [c28]Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo:
SubTab: Data Exploration with Informative Sub-Tables. SIGMOD Conference 2022: 2369-2372 - [c27]Rajesh Bordawekar, Yael Amsterdamer, Donatella Firmani, Ryan Marcus, Oded Shmueli:
aiDM'22: Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. SIGMOD Conference 2022: 2550-2551 - [c26]Antoine Amarilli, Yael Amsterdamer:
Worst-case analysis for interactive evaluation of Boolean provenance. TaPP 2022: 6:1-6:8 - [e3]Rajesh Bordawekar, Oded Shmueli, Yael Amsterdamer, Donatella Firmani, Ryan Marcus:
aiDM '22: Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, Philadelphia, Pennsylvania, USA, 17 June 2022. ACM 2022, ISBN 978-1-4503-9377-5 [contents] - [i11]Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo:
Selecting Sub-tables for Data Exploration. CoRR abs/2203.02754 (2022) - [i10]Antoine Amarilli, Yael Amsterdamer:
Worst-case Analysis for Interactive Evaluation of Boolean Provenance. CoRR abs/2205.04224 (2022) - 2021
- [c25]Yael Amsterdamer, Moran Cohen:
Automated Selection of Multiple Datasets for Extension by Integration. CIKM 2021: 27-36 - [c24]Osnat Drien, Antoine Amarilli, Yael Amsterdamer:
Managing Consent for Data Access in Shared Databases. ICDE 2021: 1949-1954 - [c23]Yael Amsterdamer, Yehuda Callen:
SPARQLIt: Interactive SPARQL Query Refinement. ICDE 2021: 2649-2652 - [c22]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Extending Multi-Document Summarization Evaluation to the Interactive Setting. NAACL-HLT 2021: 657-677 - [e2]Rajesh Bordawekar, Yael Amsterdamer, Oded Shmueli, Nesime Tatbul:
aiDM '21: Fourth Workshop in Exploiting AI Techniques for Data Management, Virtual Event, China, 25 June, 2021. ACM 2021, ISBN 978-1-4503-8535-0 [contents] - [i9]Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer:
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. CoRR abs/2110.01073 (2021) - 2020
- [c21]Yael Amsterdamer, Osnat Drien:
Towards Fine-Grained Data Access Control Through Active Peer Probing. EDBT 2020: 403-406 - [c20]Yael Amsterdamer, Oded Goldreich:
Diverse User Selection for Opinion Procurement. EDBT 2020: 486-497 - [i8]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Evaluating Interactive Summarization: an Expansion-Based Framework. CoRR abs/2009.08380 (2020)
2010 – 2019
- 2019
- [c19]Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann:
Declarative User Selection with Soft Constraints. CIKM 2019: 931-940 - [c18]Yael Amsterdamer, Osnat Drien:
PePPer: Fine-Grained Personal Access Control via Peer Probing. ICDE 2019: 2012-2015 - [c17]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. NAACL-HLT (1) 2019: 682-687 - [i7]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. CoRR abs/1904.05929 (2019) - 2018
- [c16]Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova, Ido Dagan:
Evaluating Multiple System Summary Lengths: A Case Study. EMNLP 2018: 774-778 - [e1]Benny Kimelfeld, Yael Amsterdamer:
21st International Conference on Database Theory, ICDT 2018, March 26-29, 2018, Vienna, Austria. LIPIcs 98, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2018, ISBN 978-3-95977-063-7 [contents] - [r1]Yael Amsterdamer, Tova Milo:
Crowd Mining and Analysis. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [c15]Yael Amsterdamer, Oded Goldreich:
PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World. CIKM 2017: 2443-2446 - [c14]Ori Shapira, Hadar Ronen, Meni Adler, Yael Amsterdamer, Judit Bar-Ilan, Ido Dagan:
Interactive Abstractive Summarization for Event News Tweets. EMNLP (System Demonstrations) 2017: 109-114 - [c13]Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart:
Top-k Querying of Unknown Values under Order Constraints. ICDT 2017: 5:1-5:18 - [i6]Antoine Amarilli, Yael Amsterdamer, Tova Milo, Pierre Senellart:
Top-k Querying of Unknown Values under Order Constraints (Extended Version). CoRR abs/1701.02634 (2017) - 2016
- [j9]Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann:
December: A Declarative Tool for Crowd Member Selection. Proc. VLDB Endow. 9(13): 1485-1488 (2016) - [j8]Yanir Kleiman, George Goldberg, Yael Amsterdamer, Daniel Cohen-Or:
Toward semantic image similarity from crowdsourced clustering. Vis. Comput. 32(6-8): 1045-1055 (2016) - 2015
- [j7]Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart:
Optimal Probabilistic Generation of XML Documents. Theory Comput. Syst. 57(4): 806-842 (2015) - [j6]Yael Amsterdamer, Anna Kukliansky, Tova Milo:
A Natural Language Interface for Querying General and Individual Knowledge. Proc. VLDB Endow. 8(12): 1430-1441 (2015) - [c12]Yael Amsterdamer, Susan B. Davidson, Anna Kukliansky, Tova Milo, Slava Novgorodov, Amit Somech:
Managing General and Individual Knowledge in Crowd Mining Applications. CIDR 2015 - [c11]Yael Amsterdamer, Anna Kukliansky, Tova Milo:
NL2CM: A Natural Language Interface to Crowd Mining. SIGMOD Conference 2015: 1433-1438 - 2014
- [j5]Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech:
Ontology Assisted Crowd Mining. Proc. VLDB Endow. 7(13): 1597-1600 (2014) - [j4]Yael Amsterdamer, Tova Milo:
Foundations of Crowd Data Sourcing. SIGMOD Rec. 43(4): 5-14 (2014) - [c10]Antoine Amarilli, Yael Amsterdamer, Tova Milo:
Uncertainty in Crowd Data Sourcing Under Structural Constraints. DASFAA Workshops 2014: 351-359 - [c9]Antoine Amarilli, Yael Amsterdamer, Tova Milo:
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies. ICDT 2014: 15-25 - [c8]Yael Amsterdamer, Susan B. Davidson, Tova Milo, Slava Novgorodov, Amit Somech:
OASSIS: query driven crowd mining. SIGMOD Conference 2014: 589-600 - [i5]Antoine Amarilli, Yael Amsterdamer, Tova Milo:
Uncertainty in Crowd Data Sourcing under Structural Constraints. CoRR abs/1403.0783 (2014) - 2013
- [j3]Yael Amsterdamer, Yael Grossman, Tova Milo, Pierre Senellart:
CrowdMiner: Mining association rules from the crowd. Proc. VLDB Endow. 6(12): 1250-1253 (2013) - [c7]Yael Amsterdamer, Yael Grossman, Tova Milo, Pierre Senellart:
Crowd mining. SIGMOD Conference 2013: 241-252 - [i4]Antoine Amarilli, Yael Amsterdamer, Tova Milo:
On the Complexity of Mining Itemsets from the Crowd Using Taxonomies. CoRR abs/1312.3248 (2013) - 2012
- [j2]Yael Amsterdamer, Daniel Deutch, Tova Milo, Val Tannen:
On Provenance Minimization. ACM Trans. Database Syst. 37(4): 30:1-30:36 (2012) - [c6]Serge Abiteboul, Yael Amsterdamer, Daniel Deutch, Tova Milo, Pierre Senellart:
Finding optimal probabilistic generators for XML collections. ICDT 2012: 127-139 - [c5]Serge Abiteboul, Yael Amsterdamer, Tova Milo, Pierre Senellart:
Auto-completion learning for XML. SIGMOD Conference 2012: 669-672 - [i3]Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen:
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance. CoRR abs/1201.0231 (2012) - 2011
- [j1]Yael Amsterdamer, Susan B. Davidson, Daniel Deutch, Tova Milo, Julia Stoyanovich, Val Tannen:
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance. Proc. VLDB Endow. 5(4): 346-357 (2011) - [c4]Yael Amsterdamer, Daniel Deutch, Tova Milo, Val Tannen:
On provenance minimization. PODS 2011: 141-152 - [c3]Yael Amsterdamer, Daniel Deutch, Val Tannen:
Provenance for aggregate queries. PODS 2011: 153-164 - [c2]Yael Amsterdamer, Daniel Deutch, Val Tannen:
On the Limitations of Provenance for Queries with Difference. TaPP 2011 - [c1]Yael Amsterdamer, Daniel Deutch, Tova Milo:
On the optimality of top-k algorithms for Interactive Web Applications. WebDB 2011 - [i2]Yael Amsterdamer, Daniel Deutch, Val Tannen:
Provenance for Aggregate Queries. CoRR abs/1101.1110 (2011) - [i1]Yael Amsterdamer, Daniel Deutch, Val Tannen:
On the Limitations of Provenance for Queries With Difference. CoRR abs/1105.2255 (2011)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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