activity
20082023
most citedSupporting Analysis of Dimensionality Reduction Results with Contrastive Learning

100 citations · 592 across the 42 of their papers we have counts for

collaborators
Showing 2020 · cs.HCShow all

9 papers · 2 filters

cs.HC2020★ 18 cited

Communicating Uncertainty and Risk in Air Quality Maps

Annie Preston, Kwan-Liu Ma

Environmental sensors provide crucial data for understanding our surroundings. For example, air quality maps based on sensor readings help users make decisions to mitigate the effe…

cs.HC2020★ 13 cited

A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis

Fnu Shilpika, Takanori Fujiwara, Naohisa Sakamoto +2

Many real-world applications involve analyzing time-dependent phenomena, which are intrinsically functional, consisting of curves varying over a continuum (e.g., time). When analyz…

cs.HC2020

Staged Animation Strategies for Online Dynamic Networks

Tarik Crnovrsanin, Shilpika, Senthil Chandrasegaran +1

Dynamic networks -- networks that change over time -- can be categorized into two types: offline dynamic networks, where all states of the network are known, and online dynamic net…

cs.HC2020

A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews

Suyun Bae, Federico Rossi, Joshua Vander Hook +2

Autonomous multi-robot systems, where a team of robots shares information to perform tasks that are beyond an individual robot's abilities, hold great promise for a number of appli…

cs.HC2020★ 1 cited

A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction

Takanori Fujiwara, Shilpika, Naohisa Sakamoto +3

Data-driven problem solving in many real-world applications involves analysis of time-dependent multivariate data, for which dimensionality reduction (DR) methods are often used to…

cs.HC2020★ 1 cited

ICE: Identify and Compare Event Sequence Sets through Multi-Scale Matrix and Unit Visualizations

Siwei Fu, Jian Zhao, Linping Yuan +3

Comparative analysis of event sequence data is essential in many application domains, such as website design and medical care. However, analysts often face two challenges: they may…