137 citations · 495 across the 24 of their papers we have counts for
6 papers · 1 filter
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
Angie Boggust, Brandon Carter, Arvind Satyanarayan
Embeddings mapping high-dimensional discrete input to lower-dimensional continuous vector spaces have been widely adopted in machine learning applications as a way to capture domai…
Sociotechnical Considerations for Accessible Visualization Design
Alan Lundgard, Crystal Lee, Arvind Satyanarayan
Accessibility--the process of designing for people with disabilities (PWD)--is an important but under-explored challenge in the visualization research community. Without careful at…
Critical Reflections on Visualization Authoring Systems
Arvind Satyanarayan, Bongshin Lee, Donghao Ren +5
An emerging generation of visualization authoring systems support expressive information visualization without textual programming. As they vary in their visualization models, syst…
DIEL: Interactive Visualization Beyond the Here and Now
Yifan Wu, Remco Chang, Joseph Hellerstein +2
Interactive visualization design and research have primarily focused on local data and synchronous events. However, for more complex use cases---e.g., remote database access and st…
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Madelon Hulsebos, Kevin Hu, Michiel Bakker +5
Correctly detecting the semantic type of data columns is crucial for data science tasks such as automated data cleaning, schema matching, and data discovery. Existing data preparat…
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Kevin Hu, Neil Gaikwad, Michiel Bakker +7
Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. These exemplars often lack the charact…