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Meaning making in high and low points predicted emotion regulation.
As predicted, emotion regulation difficulties partially explained the association between BPD features and CPA risk.
The diagonal elements (the values in italics) of confusion matrix represent the number of correctly predicted emotion labels.
Evidence for ANS discrimination of emotion was found via PCA with 44.6% of overall observations correctly classified into the predicted emotion conditions, using ANS variables (z = 16.05, p < .001).001
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AQ predicted Emotion-oriented coping, which in turn was negatively correlated with QoL.
We therefore investigate the relevance of using machine learning algorithms able to integrate contextual information in the modelling, like long short-term memory recurrent neural networks do, to automatically predict emotion from several (asynchronous) raters in continuous time domains, i.e., arousal and valence.
Musical variables such as melodic contour, tempo, loudness, texture, and timbral sharpness, were shown to predict emotion ratings.
The first approach includes studies intended to predict emotions using face expressions and/or speech signals [10].
A common social impairment in individuals with ASD is difficulty interpreting and or predicting emotions of others.
The proposed method defines a set of Continuous Conditional Random Fields (CCRF) that are used to predict emotions from both encephalogram (EEG) signals and facial features.
Two lines of research converge on the topic of predicting emotions, namely the response expectancy theory and the affective forecasting paradigm.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com