Semantic Color Mapping: A Pipeline for Assigning Meaningful Colors to Text

Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models

“…One such example is the beautification of visualization designs , which while mostly aesthetic, could also be functional. From the selection of proper colors based on semantics [ EAKM * 22 , HYC * 22 ] to more extreme visual transformations, it was considered by participants to be mostly “ subjective ” ( P15 vis ). However, it was recognized that as with Coelho's [ CM20 ] “Infomages”, they do change the impact and interpretation of a visualization.…”

The Extraction of Maximal-Sum Principal Submatrix and Its Applications

“…One of them is color combination selection. Constructing an optimal color combination is a critical factor for data visualization [13,14], and a lot of literature paid their attention to it [15][16][17][18][19]. A method to improve the readability of the data after clustering and visualizing is to consider the degree of color difference, which can be measured by the distance of two colors [20].…”

Towards visual debugging for multi-target time series classification

“…Next, the transformation projection stage applies various projection techniques on the raw time series, the Fourier-transformed data, and the attributions to reduce the dimensionality to two. After the automatic phase, the explanation phase incorporates the user into the explanation process [50]. In the first global exploration, the previously calculated results visualize an overview of the data, the transformations, and the attributions.…”

“…However, what happens if we try something similar to a more advanced model. We add another Conv1D layer and increase the filters for each layer to [10,50,100,150] to improve the accuracy score to 92,82%. On the right in Figure 6, we can see the change from the first to the second line chart.…”