ARDUOUS: Tutorial on Annotation of useR Data for UbiquitOUs Systems - Developing a Data Annotation Protocol-Reference-Cited by-同舟云学术

ARDUOUS: Tutorial on Annotation of useR Data for UbiquitOUs Systems - Developing a Data Annotation Protocol

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
language:
Short-container-title:

Author:

Tonkin Emma L.¹^ORCID,Tourte Gregory J. L.¹^ORCID,Stoev Teodor²^ORCID,Yordanova Kristina²^ORCID

Affiliation:

1. University of Bristol, United Kingdom

2. Institute for Data Science, University of Greifswald, Germany

Funder

UK Engineering and Physical Sciences Research Council (EPSRC)

German Research Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594739.3605101

Reference14 articles.

1. Artificial Intelligence Act. 2021. Proposal for a regulation of the European Parliament and the Council laying down harmonised rules on Artificial Intelligence (Artificial Intelligence Act) and amending certain Union legislative acts. EUR-Lex-52021PC0206 (2021). Artificial Intelligence Act. 2021. Proposal for a regulation of the European Parliament and the Council laying down harmonised rules on Artificial Intelligence (Artificial Intelligence Act) and amending certain Union legislative acts. EUR-Lex-52021PC0206 (2021).

2. A Semi-Automatic Annotation Approach for Human Activity Recognition

3. Massive online data annotation, crowdsourcing to generate high quality sleep spindle annotations from EEG data

4. Comparing Person- and Process-centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk

5. Janis Pagel , Nils Reiter , Ina Rösiger , and Sarah Schulz . 2018 . A unified text annotation workflow for diverse goals. In Sandra Kübler/Heike Zinsmeister (Hg.) , Proceedings of the Workshop on Annotation in Digital Humanities, co-located with ESSLLI. 31–36 . Janis Pagel, Nils Reiter, Ina Rösiger, and Sarah Schulz. 2018. A unified text annotation workflow for diverse goals. In Sandra Kübler/Heike Zinsmeister (Hg.), Proceedings of the Workshop on Annotation in Digital Humanities, co-located with ESSLLI. 31–36.