A robotic model that can understand human emotions can open up a range of beneficial applications for predict- ing human interest in communications and human ...

In this study, we presented a method for calculating the weighted average in a multi-characteristic architecture by using the similarities between a new sample ...

We proposed a multi-characteristic model architecture that combines personalized machine learning models and utilizes the prediction score of each model.

Therefore, we proposed a multi characteristic model architecture which combine the personalized machine learning models and utilize each model 's prediction ...

Such an architecture allows to dynamically and efficiently estimate the weights of a MLP in context dependent behaviour problems. The proposed learning ...

Jul 24, 2018 · MIT Media Lab researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do.

4 days ago · This paper explores the methodologies used in emotion recognition, focusing on Natural Language Processing (NLP) for text and acoustic analysis ...

In this paper, the emotion recognition methods based on multi-channel EEG signals as well as multi-modal physiological signals are reviewed.

Our study delves into the concept of model personalization in emotion recognition, moving away from the one-size-fits-all approach.

AI approaches that can estimate and regulate learners' emotional states can favorably impact language learning. For instance, AI-powered decision models ...