1 code implementation • 15 Jun 2023 • Gabriel Appleby, Linfeng Liu, Li-Ping Liu
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.
1 code implementation • 3 Apr 2023 • Harry Li, Gabriel Appleby, Camelia Daniela Brumar, Remco Chang, Ashley Suh
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.
no code implementations • 22 Sep 2022 • Samuel Goree, Gabriel Appleby, David Crandall, Norman Su
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.
1 code implementation • 11 May 2022 • Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca Finelli, Remco Chang, Dylan Cashman
Presenting a predictive model's performance is a communication bottleneck that threatens collaborations between data scientists and subject matter experts.
no code implementations • 2 Nov 2021 • Mateus Espadoto, Gabriel Appleby, Ashley Suh, Dylan Cashman, MingWei Li, Carlos Scheidegger, Erik W Anderson, Remco Chang, Alexandru C Telea
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.
no code implementations • 25 Jun 2021 • Gabriel Appleby, Mateus Espadoto, Rui Chen, Samuel Goree, Alexandru Telea, Erik W Anderson, Remco Chang
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.