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May 7, 2018 - Python
xai
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A deep convolutional neural network is used to explain the results of another one (VGG19).
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Jun 14, 2018 - Jupyter Notebook
Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539
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Dec 7, 2018 - TeX
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Dec 27, 2018
Quantitative Testing with Concept Activation Vectors in PyTorch
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Mar 18, 2019 - Python
Applying ML interpretation methods on the pet-finder Kaggle challenge
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Jun 9, 2019 - Jupyter Notebook
Interpretable Machine Learning with rsparkling
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Jun 9, 2019 - R
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
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Aug 21, 2019 - R
Essay on Explainable AI and ethics: concerns &, perspectives
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Oct 2, 2019
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Oct 10, 2019
Interpretability of Image Keras Models
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Oct 27, 2019 - Python
Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
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Nov 19, 2019 - TeX
Implementation of the Anchors algorithm: Explain black-box ML models
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Nov 21, 2019 - R
TCC1 UnB 2/2019 - SS - XAI techniques applied on convolutional neural network for skin lesion classification - First phase
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Dec 11, 2019 - Jupyter Notebook
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
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Dec 24, 2019 - Python
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