Authoring Platform for Mobile Citizen Science Apps with Client-side ML-Reference-Cited by-同舟云学术

Authoring Platform for Mobile Citizen Science Apps with Client-side ML

Published:2021-10-23 Issue: Volume: Page:
ISSN:
Container-title:Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing
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Author:

Khan Fahim Hasan¹,de Silva Akila¹,Dusek Gregory²,Davis James¹,Pang Alex³

Affiliation:

1. Dept. of Computer Science and Engineering, University of California, Santa Cruz, USA

2. National Ocean Service, NOAA, USA

3. University of California, Santa Cruz, USA

Funder

NOAA

SECOORA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3462204.3481743

Reference24 articles.

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2. Oscar Alsing. 2018. Mobile Object Detection using TensorFlow Lite and Transfer Learning. Master’s thesis. KTH School of Electrical Engineering and Computer Science (EECS). https://www.diva-portal.org/smash/record.jsf?pid=diva2:1242627 Oscar Alsing. 2018. Mobile Object Detection using TensorFlow Lite and Transfer Learning. Master’s thesis. KTH School of Electrical Engineering and Computer Science (EECS). https://www.diva-portal.org/smash/record.jsf?pid=diva2:1242627

3. The ZOONIVERSE is Expanding: Crowdsourced Solutions to the Hidden Collections Problem and the Rise of the Revolutionary Cataloging Interface

4. “You can't see them from sitting here”: Evaluating beach user understanding of a rip current warning sign

5. CALIFORNIA SEA LION (ZALOPHUS CALIFORNIANUS) MONITORING IN THE LOWER COLUMBIA RIVER, 1997–2018

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