Visual Analytics Framework

Visual analytics frameworks are designed to enhance the understanding and interpretation of complex models, particularly those exhibiting "black box" behavior, by providing interactive visualizations and explanatory tools. Current research focuses on applying these frameworks to diverse areas, including generative transformer models, spatial regression models, multi-objective optimization algorithms, and climate modeling, often incorporating AI-assisted methods for improved efficiency and insight. These frameworks are crucial for improving model transparency, facilitating comparative analysis of different algorithms or models, and ultimately enabling more informed decision-making across various scientific and applied domains.