HIGHLIGHTS
- who: Generalized Affect Recognition Based and colleagues from the (UNIVERSITY) have published the paper: Adapting the Interplay Between Personalized and Generalized Affect Recognition Based on an Unsupervised Neural Framework, in the Journal: (JOURNAL)
- what: The authors propose different learning strategies to integrate all three mechanisms and to improve the performance on arousal and valence of the OMG-Emotion dataset. The authors evaluate the model with a series of experiments ranging from ablation studies assessing the different contributions of each neural component to an objective comparison with state-of-the-art solutions. The authors discuss how . . .
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