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08/09/2023
A Computational Design Pipeline to Fabricate Sensing Network Physicalizations
Interaction is critical for data analysis and sensemaking. However, desi...
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03/16/2023
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
Multivariate networks are commonly found in real-world data-driven appli...
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03/06/2023
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks
Adversarial attacks on a convolutional neural network (CNN) – injecting ...
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06/28/2022
Feature Learning for Dimensionality Reduction toward Maximal Extraction of Hidden Patterns
Dimensionality reduction (DR) plays a vital role in the visual analysis ...
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02/11/2022
A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data
Analyzing air pollution data is challenging as there are various analysi...
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08/28/2021
A Visual Analytics System for Water Distribution System Optimization
The optimization of water distribution systems (WDSs) is vital to minimi...
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06/29/2021
Interactive Dimensionality Reduction for Comparative Analysis
Finding the similarities and differences between groups of datasets is a...
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11/26/2020
A Visual Analytics Approach to Monitor Time-Series Data with Incremental and Progressive Functional Data Analysis
Many real-world applications involve analyzing time-dependent phenomena,...
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08/02/2020
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction
Data-driven problem solving in many real-world applications involves ana...
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08/01/2020
A Visual Analytics Framework for Contrastive Network Analysis
A common network analysis task is comparison of two networks to identify...
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07/09/2020
Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups
Ideal point estimation and dimensionality reduction have long been utili...
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05/25/2020
Interpretable Contrastive Learning for Networks
Contrastive learning (CL) is an emerging analysis approach that aims to ...
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02/18/2020
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
There is a growing trend of applying machine learning methods to medical...
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02/18/2020
Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding
Machine learning for data-driven diagnosis has been actively studied in ...
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01/26/2020
A Visual Analytics Framework for Reviewing Streaming Performance Data
Understanding and tuning the performance of extreme-scale parallel compu...
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05/10/2019
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
Dimensionality reduction (DR) methods are commonly used for analyzing an...
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05/10/2019