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Alicja Gosiewska

Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models

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Apr 14, 2021
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Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring

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Sep 28, 2020
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Landscape of R packages for eXplainable Artificial Intelligence

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Sep 24, 2020
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Interpretable Meta-Measure for Model Performance

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Jun 02, 2020
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Lifting Interpretability-Performance Trade-off via Automated Feature Engineering

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Feb 11, 2020
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EPP: interpretable score of model predictive power

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Aug 24, 2019
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iBreakDown: Uncertainty of Model Explanations for Non-additive Predictive Models

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Mar 27, 2019
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SAFE ML: Surrogate Assisted Feature Extraction for Model Learning

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Feb 28, 2019
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auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic

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Oct 03, 2018
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