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07/27/2022
Calibrate: Interactive Analysis of Probabilistic Model Output
Analyzing classification model performance is a crucial task for machine...
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07/12/2022
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence
Explainable artificial intelligence (XAI) methods lack ground truth. In ...
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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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01/06/2022
Topological Representations of Local Explanations
Local explainability methods – those which seek to generate an explanati...
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12/02/2021
Counterfactual Explanations via Latent Space Projection and Interpolation
Counterfactual explanations represent the minimal change to a data sampl...
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12/16/2020
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations
In the environment of fair lending laws and the General Data Protection ...
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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
