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Found 6 papers, 3 papers with code
Kriging Convolutional Networks
Spatial interpolation is a class of estimation problems where locations with known values are used to estimate values at other locations, with an emphasis on harnessing spatial locality and trends.
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities
This study presents insights from interviews with nineteen Knowledge Graph (KG) practitioners who work in both enterprise and academic settings on a wide variety of use cases.
Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper
In this work, we examine the effects of this growth from a media archaeology perspective, through the changes to figures and tables in research papers.
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
Presenting a predictive model's performance is a communication bottleneck that threatens collaborations between data scientists and subject matter experts.
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
Projection techniques are often used to visualize high-dimensional data, allowing users to better understand the overall structure of multi-dimensional spaces on a 2D screen.
HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters
Projection algorithms such as t-SNE or UMAP are useful for the visualization of high dimensional data, but depend on hyperparameters which must be tuned carefully.
