CrowdLearner-Reference-Cited by-同舟云学术

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CrowdLearner

Published:2013-10-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 26th annual ACM symposium on User interface software and technology
language:
Short-container-title:

Author:

Amini Shahriyar¹,Li Yang²

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. Google Research, Mountain View, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2501988.2502029

Reference28 articles.

1. MAGIC

2. Soylent

3. A training algorithm for optimal margin classifiers

4. People-centric urban sensing

5. CrowdLab: An architecture for volunteer mobile testbeds

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1. To Save Mobile Crowdsourcing From Cheap-Talk: A Game Theoretic Learning Approach;IEEE Transactions on Mobile Computing;2024-08

2. Exploring the Potentials of Crowdsourcing for Gesture Data Collection;International Journal of Human–Computer Interaction;2023-02-23

3. Crowdsourcing Framework For Agricultural Powered By Ai;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

4. Iteratively Designing Gesture Vocabularies: A Survey and Analysis of Best Practices in the HCI Literature;ACM Transactions on Computer-Human Interaction;2022-05-05

5. CrowdAct;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2021-03-19

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