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Found 6 papers, 0 papers with code
Improving Personalisation in Valence and Arousal Prediction using Data Augmentation
This paper presents our work on an enhanced personalisation strategy, that leverages data augmentation to develop tailored models for continuous valence and arousal prediction.
A Survey on Personalized Affective Computing in Human-Machine Interaction
In this paper, we discuss the need for personalization in affective and personality computing (hereinafter referred to as affective computing).
Automatic Context-Driven Inference of Engagement in HMI: A Survey
An integral part of seamless human-human communication is engagement, the process by which two or more participants establish, maintain, and end their perceived connection.
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum
(1) We investigate various NLP-based indicators extracted from patients' reviews including words and n-grams frequency, semantic similarity, Adverse Drug Reactions mentions, and sentiment analysis.
Distinguishing Engagement Facets: An Essential Component for AI-based Interactive Healthcare
Engagement in Human-Machine Interaction is the process by which entities participating in the interaction establish, maintain, and end their perceived connection.
Deep Multi-Facial Patches Aggregation Network For Facial Expression Recognition
Results show that the proposed approach achieves state-of-art FER deep learning approaches performance when the model is trained and tested on images from the same dataset.
