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. Author manuscript; available in PMC: 2023 Oct 19.
Published in final edited form as: Proc IEEE Inst Electr Electron Eng. 2023 May 23;111(10):1236–1286. doi: 10.1109/JPROC.2023.3273517

Fig. 4.

Fig. 4.

Probabilistic graphical model, GLBA, was developed by Ye et al. [49] to model the subjective reliability and regularity in a crowdsourced affective data collection. The work enables researchers in affective computing to effectively identify and exclude highly subjective annotation data provided by uninformative human participants, thereby improving the overall quality of the collected data.