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@article{adadi_peeking_2018,
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title = {Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI},
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}
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}
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title = {Grand {Tours}, {Projection} {Pursuit} {Guided} {Tours}, and {Manual} {Controls}},
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}
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}
@article{da_silva_projection_2021,
title = {A {Projection} {Pursuit} {Forest} {Algorithm} for {Supervised} {Classification}},
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pages = {1--21},
}
@article{gorman_ecological_2014,
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@misc{horst_palmerpenguins_2020,
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@misc{kominsarczyk_treeshap_2021,
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keywords = {data science, data visualization, exploratory data analysis, high-dimensional data, tours}
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@misc{leone_fifa_2020,
title = {{FIFA} 20 complete player dataset},
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keywords = {black box classifier, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, explaining machine learning, interpretability, interpretable machine learning, Statistics - Machine Learning}
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title = {xgboost: {Extreme} {Gradient} {Boosting}},
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@misc{greenwell_gbm_2020,
title = {gbm: {Generalized} {Boosted} {Regression} {Models}},
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@misc{prevek18_ames_2018,
title = {Ames {Housing} {Dataset}},
url = {https://kaggle.com/prevek18/ames-housing-dataset},
abstract = {Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.},
language = {en},
urldate = {2022-01-27},
journal = {kaggle.com},
author = {prevek18},
month = sep,
year = {2018},
}
@article{de_cock_ames_2011,
title = {Ames, {Iowa}: {Alternative} to the {Boston} housing data as an end of semester regression project},
volume = {19},
shorttitle = {Ames, {Iowa}},
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journal = {Journal of Statistics Education},
author = {De Cock, Dean},
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@article{stahl-ethics,
author = {Bernd Carsten Stahl},
title = {Ethical Issues of AI},
year = 2021,
journal = {Artificial Intelligence for a Better Future},
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doi = {10.1007/978-3-030-69978-9_4}
}
@Inbook{Caragea2008,
author="Caragea, Doina and Cook, Dianne and Wickham, Hadley and Honavar, Vasant",
editor="Simoff, Simeon J. and B{\"o}hlen, Michael H. and Mazeika, Arturas",
title="Visual Methods for Examining SVM Classifiers",
bookTitle="Visual Data Mining: Theory, Techniques and Tools for Visual Analytics",
year="2008",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="136--153",
doi="10.1007/978-3-540-71080-6_10"
}
@Manual{PPtreeregViz,
title = {PPtreeregViz: Projection Pursuit Regression Tree Visualization},
author = {Eun-Kyung Lee and HyunSun Cho},
year = {2022},
note = {R package version 2.0.5},
url = {https://CRAN.R-project.org/package=PPtreeregViz},
}
@Manual{ExplainPrediction,
title = {ExplainPrediction: Explanation of Predictions for Classification and Regression
Models},
author = {Marko Robnik-Sikonja},
year = {2018},
note = {R package version 1.3.0},
url = {https://CRAN.R-project.org/package=ExplainPrediction},
}
@Manual{flashlight,
title = {flashlight: Shed Light on Black Box Machine Learning Models},
author = {Michael Mayer},
year = {2023},
note = {R package version 0.9.0},
url = {https://CRAN.R-project.org/package=flashlight},
}
@Manual{shapr,
title = {shapr: Prediction Explanation with Dependence-Aware Shapley Values},
author = {Nikolai Sellereite and Martin Jullum and Annabelle Redelmeier},
year = {2023},
note = {R package version 0.2.2},
url = {https://CRAN.R-project.org/package=shapr},
}
@Manual{shapviz,
title = {shapviz: SHAP Visualizations},
author = {Michael Mayer},
year = {2023},
note = {R package version 0.8.0},
url = {https://CRAN.R-project.org/package=shapviz},
}
@Manual{fastshap,
title = {fastshap: Fast Approximate Shapley Values},
author = {Brandon Greenwell},
year = {2021},
note = {R package version 0.0.7},
url = {https://CRAN.R-project.org/package=fastshap},
}
@Manual{kernelshap,
title = {kernelshap: Kernel SHAP},
author = {Michael Mayer and David Watson},
year = {2023},
note = {R package version 0.3.7},
url = {https://CRAN.R-project.org/package=kernelshap},
}