40 citations · 61 across the 5 of their papers we have counts for
5 papers
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
Agapi Rissaki, Bruno Scarone, David Liu +4
The issue of bias (i.e., systematic unfairness) in machine learning models has recently attracted the attention of both researchers and practitioners. For the graph mining communit…
MEDLEY: Intent-based Recommendations to Support Dashboard Composition
Aditeya Pandey, Arjun Srinivasan, Vidya Setlur
Despite the ever-growing popularity of dashboards across a wide range of domains, their authoring still remains a tedious and complex process. Current tools offer considerable supp…
Evaluating the Effect of Timeline Shape on Visualization Task Performance
Sara Di Bartolomeo, Aditeya Pandey, Aristotelis Leventidis +6
Timelines are commonly represented on a horizontal line, which is not necessarily the most effective way to visualize temporal event sequences. However, few experiments have evalua…
Digital Collaborator: Augmenting Task Abstraction in Visualization Design with Artificial Intelligence
Aditeya Pandey, Yixuan Zhang, John A. Guerra-Gomez +2
In the task abstraction phase of the visualization design process, including in "design studies", a practitioner maps the observed domain goals to generalizable abstract tasks usin…
CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Arteries Network Visualization
Aditeya Pandey, Harsh Shukla, Geoffrey S. Young +6
Blood circulation in the human brain is supplied through a network of cerebral arteries. If a clinician suspects a patient has a stroke or other cerebrovascular condition they orde…