Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning
Bibliographic Data
| ID | 21642571 |
|---|---|
| Authors | Rahul Pandey (0000-0001-7766-3572, George Mason University, corresponding author), Hemant Purohit (0000-0002-4573-8450, George Mason University), Carlos Castillo (0000-0001-5848-0332, Universitat Pompeu Fabra), Valerie L Shalin (0000-0001-8135-2793, Wright State University) |
| Year | 2022 |
| Volume | 160 |
| Pages | 102772 |
| Publication date | 2022-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Human-Computer Studies (JOURNAL) |
| Journal identifiers | ISSN: 1071-5819 • E-ISSN: 1095-9300 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijhcs.2022.102772 |
| OpenAlex | W3041011740 |
| Language | EN |
| References cited | 31 |
Annotation · Crowdsourcing · Human error · Human-in-the-loop · Machine learning · Schedule · World Wide Web · Anomaly Detection Techniques and Applications · Computer Science · Data Stream Mining Techniques · Mobile Crowdsensing and Crowdsourcing · Artificial Intelligence
Memory
Some Tests of the Decay Theory of Immediate Memory
Human error
Short-term retention of individual verbal items.
Categorization of action slips.
Availability versus accessibility of information in memory for words
The serial position effect of free recall.
Reflections of the Environment in Memory
Prospect Theory
Qualitative inquiry and research design
| Citation velocity | historical |
|---|---|
| Highly cited | No |