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08/25/2023
The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts
Data visualizations present a massive number of potential messages to an...
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01/19/2022
Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets
One of the potential solutions for model interpretation is to train a su...
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09/19/2021
An Exploration And Validation of Visual Factors in Understanding Classification Rule Sets
Rule sets are often used in Machine Learning (ML) as a way to communicat...
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09/12/2021
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation
Rapid improvements in the performance of machine learning models have pu...
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03/01/2021
Visualizing Rule Sets: Exploration and Validation of a Design Space
Rule sets are often used in Machine Learning (ML) as a way to communicat...
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01/12/2021
Mapping the Landscape of COVID-19 Crisis Visualizations
In response to COVID-19, a vast number of visualizations have been creat...
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09/01/2020
Towards Evaluating Exploratory Model Building Process with AutoML Systems
The use of Automated Machine Learning (AutoML) systems are highly open-e...
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08/25/2020
Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations
A central tenet of information visualization research and practice is th...
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07/21/2020
Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together
With the increasing sophistication of machine learning models, there are...
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07/21/2020
SUBPLEX: Towards a Better Understanding of Black Box Model Explanations at the Subpopulation Level
Understanding the interpretation of machine learning (ML) models has bee...
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07/20/2020
Towards Ground Truth Explainability on Tabular Data
In data science, there is a long history of using synthetic data for met...
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05/01/2020
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines
In recent years, a wide variety of automated machine learning (AutoML) m...
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04/23/2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs
As the use of machine learning (ML) models in product development and da...
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03/05/2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models
The continued improvements in the predictive accuracy of machine learnin...
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07/05/2019
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation
While the demand for machine learning (ML) applications is booming, ther...
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07/03/2019
Truncating the Y-Axis: Threat or Menace?
Bar charts with y-axes that don't begin at zero can visually exaggerate ...
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07/17/2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules
With the growing adoption of machine learning techniques, there is a sur...
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05/04/2017
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations
Human-in-the-loop data analysis applications necessitate greater transpa...
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01/24/2017
By chance is not enough: Preserving relative density through non uniform sampling
Dealing with visualizations containing large data set is a challenging i...
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06/17/2016