Litcius/Paper detail

Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning

Rahul Pandey, Hemant Purohit, Carlos Castillo, Valerie L. Shalin

2022International Journal of Human-Computer Studies41 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceCrowdsourcingHuman-in-the-loopAnnotationMachine learningArtificial intelligenceClassifier (UML)ScheduleQuality (philosophy)Human errorWorld Wide WebOperating systemMathematicsEpistemologyPhilosophyStatisticsData Stream Mining TechniquesMobile Crowdsensing and CrowdsourcingAnomaly Detection Techniques and Applications
Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning | Litcius