Crowdsourcing Practice for Efficient Data Labeling: Aggregation, Incremental Relabeling, and Pricing

Author:

Drutsa Alexey1,Fedorova Valentina1,Ustalov Dmitry2,Megorskaya Olga2,Zerminova Evfrosiniya1,Baidakova Daria1

Affiliation:

1. Yandex, Moscow, Russian Fed.

2. Yandex, Saint Petersburg, Russian Fed.

Publisher

ACM

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enabling Efficient Valuation of Property Rights for Cultural Products based on Crowdsourcing;2023 International Conference on Culture-Oriented Science and Technology (CoST);2023-10-11

2. Demystifying Artificial Intelligence for Data Preparation;Companion of the 2023 International Conference on Management of Data;2023-06-04

3. Federated IoT Interaction Vulnerability Analysis;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

4. Clustering Without Knowing How To: Application and Evaluation;Lecture Notes in Computer Science;2023

5. Mining Railway Grievances on Twitter for Efficient E-Governance in India;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

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