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08/23/2023
Approximating Score-based Explanation Techniques Using Conformal Regression
Score-based explainable machine-learning techniques are often used to un...
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08/17/2023
Interpretable Graph Neural Networks for Tabular Data
Data in tabular format is frequently occurring in real-world application...
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05/27/2022
Image Keypoint Matching using Graph Neural Networks
Image matching is a key component of many tasks in computer vision and i...
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06/04/2021
Evaluation of Local Model-Agnostic Explanations Using Ground Truth
Explanation techniques are commonly evaluated using human-grounded metho...
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03/23/2021
Towards interpretability of Mixtures of Hidden Markov Models
Mixtures of Hidden Markov Models (MHMMs) are frequently used for cluster...
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10/31/2019
A study of data and label shift in the LIME framework
LIME is a popular approach for explaining a black-box prediction through...
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04/23/2019
Block-distributed Gradient Boosted Trees
The Gradient Boosted Tree (GBT) algorithm is one of the most popular mac...
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12/27/2016
