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HILDA@SIGMOD 2022: Philadelphia, PA, USA

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HILDA@SIGMOD 2022: Proceedings of the Workshop on Human-In-the-Loop Data Analytics, Philadelphia, Pennsylvania, 12 June 2022. ACM 2022, ISBN 978-1-4503-9442-0
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  - conf/sigmod/YuanB22
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Jun Yuan, Enrico Bertini:
Context sight: model understanding and debugging via interpretable context. 1:1-1:7
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  - conf/sigmod/GeislerB22
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Nadja Geisler, Carsten Binnig:
Introducing quest: a query-driven framework to explain classification models on tabular data. 2:1-2:4
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  - conf/sigmod/HabibelahianSTP22
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Omeed Habibelahian, Rajesh Shrestha, Arash Termehchy, Paolo Papotti:
Exploratory training: when trainers learn. 3:1-3:5
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Yogendra Patil, Sihem Amer-Yahia, Srividya Subramanian:
Designing the evaluation of operator-enabled interactive data exploration in VALIDE. 4:1-4:7
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  - conf/sigmod/LouC22
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Yuze Lou, Michael J. Cafarella:
Enabling useful provenance in scripting languages with a human-in-the-loop. 5:1-5:7
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  - conf/sigmod/Duta22
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Christian Duta:
Another way to implement complex computations: functional-style SQL UDF. 6:1-6:7
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  - conf/sigmod/Shraga22
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Roee Shraga:
HumanAL: calibrating human matching beyond a single task. 7:1-7:8
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Samantha Robertson, Kim G. Harley, Niloufar Salehi:
Opportunities and risks for engaging research participants with self-logged menstrual health data. 8:1-8:7
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Md. Fazle Elahi Khan, Renran Tian, Xiao Luo:
Flexible and scalable annotation tool to develop scene understanding datasets. 9:1-9:7
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  - conf/sigmod/ShaowangZSK22
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Ted Shaowang, Jinjin Zhao, Stavros Sintos, Sanjay Krishnan:
Towards causal physical error discovery in video analytics systems. 10:1-10:6

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