2022

doi dblp
exML: An Explainable Maximum Likelihood Tool for Proportion Estimation in DNA Data
Amit Bergman | Viviane Slon | Daniel Deutch
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

doi dblp
LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs
Dana Arad | Daniel Deutch | Nave Frost
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2021

doi dblp
Explanations for Data Repair Through Shapley Values
Daniel Deutch | Nave Frost | Amir Gilad | Oren Sheffer
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2018

doi dblp
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX
Daniel Deutch | Yehonatan Ginzberg | Tova Milo
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

doi dblp
CEC: Constraints based Explanation for Classifications
Daniel Deutch | Nave Frost
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018

2015

doi dblp
Approximated Summarization of Data Provenance
Eleanor Ainy | Pierre Bourhis | Susan B. Davidson | Daniel Deutch | Tova Milo
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

2012

doi dblp
Business Processes: A Database Perspective
Daniel Deutch | Tova Milo
2012

doi dblp
Declarative platform for data sourcing games
Daniel Deutch | Ohad Greenshpan | Boris Kostenko | Tova Milo
Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012

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