Expression Dataset

Expression datasets are collections of data representing various forms of expression, from gene activity to facial movements and linguistic patterns. Current research focuses on improving the analysis of these datasets through advanced machine learning techniques, including the use of transformer-based models like Vision Transformers (ViTs) and knowledge graph integration for heterogeneous data. These advancements aim to enhance the accuracy and robustness of applications such as emotion recognition, disease prediction, and the detection of online violence, ultimately contributing to progress in diverse fields like biomedicine, affective computing, and social sciences.