Multimodal emotion recognition (MER) refers to the identification and understanding of
human emotional states by combining different signals, including—but not limited to—text …

Automatic emotion recognition is a burgeoning field of research and has its roots in
psychology and cognitive science. This article comprehensively reviews multimodal emotion …

Human activity recognition (HAR) is pivotal in advancing applications ranging from
healthcare monitoring to interactive gaming. Traditional HAR systems, primarily relying on …

Multi-modal fusion can exploit complementary information from various modalities and
improve the accuracy of prediction or classification tasks. In this paper, we propose a semi …

Large language models (LLMs), such as GPT-4, Gemini 1.5, Claude 3.5 Sonnet, and
Llama3, have demonstrated significant advancements in various NLP tasks since the …

Information fusion is the combination of information from multiple sources, which aims to
draw more comprehensive, specific, and accurate inferences about the world than are …

Multi-modal sarcasm detection is a task that involves detecting and identifyingsarcasm using
multiple modalities of information. The key aspect of this task lies in how to model intra and …

cross-dimensional principal component analysis (CD-PCA). It is based on the semi-tensor
product of matrices theory (STP), where a new projection rule is introduced to reduce …