Since Multimodal Emotion Recognition in Conversation (MERC) can be applied to public
opinion monitoring, intelligent dialogue robots, and other fields, it has received extensive …

Multimodal emotion recognition in conversation (ERC) has garnered growing attention from
research communities in various fields. In this paper, we propose a Crossmodal Fusion …

The performance of a speech emotion recognition (SER) system is heavily influenced by the
efficacy of its feature extraction techniques. The study was designed to advance the field of …

The Multi-Party Conversation (MPC) system has gained attention for its relevance in modern
communication. Recent work has focused on developing specialized models for different …

Emotion Recognition in Conversations (ERC) is a critical aspect of affective computing, and
it has many practical applications in healthcare, education, chatbots, and social media …

In speech emotion recognition (SER), our research addresses the critical challenges of
capturing and evaluating node information and their complex interrelationships within …

Abstract Emotion Recognition in Conversation (ERC) has great prospects in human-
computer interaction and medical consultation. Existing ERC approaches mainly focus on …

The combination of big data with cloud computing technologies has surfaced as a paradigm-
shifting approach in computer information building, fundamentally altering the ways in which …

Accurate prediction of mortality in nasopharyngeal carcinoma (NPC), a complex malignancy
particularly challenging in advanced stages, is crucial for optimizing treatment strategies and …

In the era of big data, the number of internet users is increasing yearly, and each user
receives a massive amount of information every day. The low-value density of massive text …