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

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Showing 2020Show all

20 papers · 1 filter

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.LG2020★ 2 cited

HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning

Chuan Wang, Kwan-Liu Ma

Deep Recurrent Neural Networks (RNN) continues to find success in predictive decision-making with temporal event sequences. Recent studies have shown the importance and practicalit…

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.CV2020

A Predictive Visual Analytics System for Studying Neurodegenerative Disease based on DTI Fiber Tracts

Chaoqing Xu, Tyson Neuroth, Takanori Fujiwara +2

Diffusion tensor imaging (DTI) has been used to study the effects of neurodegenerative diseases on neural pathways, which may lead to more reliable and early diagnosis of these dis…

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…