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03/31/2023
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
As the complexity of machine learning (ML) models increases and the appl...
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12/07/2022
MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels
Stacking (or stacked generalization) is an ensemble learning method with...
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03/29/2022
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
Despite the tremendous advances in machine learning (ML), training with ...
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12/01/2021
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
Bagging and boosting are two popular ensemble methods in machine learnin...
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03/26/2021
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
The machine learning (ML) life cycle involves a series of iterative step...
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12/02/2020
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
During the training phase of machine learning (ML) models, it is usually...
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05/04/2020
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
In machine learning (ML), ensemble methods such as bagging, boosting, an...
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02/17/2020