49 citations · 54 across the 4 of their papers we have counts for
8 papers · 1 filter
Higher Dimensional Graphics: Conceiving Worlds in Four Spatial Dimensions and Beyond
Marco Cavallo
While the interpretation of high-dimensional datasets has become a necessity in most industries, and is supported by continuous advances in data science and machine learning, the s…
Immersive Insights: A Hybrid Analytics System for Collaborative Exploratory Data Analysis
Marco Cavallo, Mishal Dholakia, Matous Havlena +2
In the past few years, augmented reality (AR) and virtual reality (VR) technologies have experienced terrific improvements in both accessibility and hardware capabilities, encourag…
Dataspace: A Reconfigurable Hybrid Reality Environment for Collaborative Information Analysis
Marco Cavallo, Mishal Dholakia, Matous Havlena +2
Immersive environments have gradually become standard for visualizing and analyzing large or complex datasets that would otherwise be cumbersome, if not impossible, to explore thro…
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
Marco Cavallo, Çağatay Demiralp
Dimensionality reduction is a common method for analyzing and visualizing high-dimensional data. However, reasoning dynamically about the results of a dimensionality reduction is d…
CAVE-AR: A VR Authoring System to Interactively Design, Simulate, and Debug Multi-user AR Experiences
Marco Cavallo, Angus G. Forbes
Despite advances in augmented reality (AR), the process of creating meaningful experiences with this technology is still extremely challenging. Due to different tracking implementa…
Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions
Marco Cavallo, Çağatay Demiralp
With the rapid commoditization of wearable sensors, detecting human movements from sensor datasets has become increasingly common over a wide range of applications. To detect activ…