All about explainable AI, algorithmic fairness and more
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Updated
Sep 24, 2023 - HTML
All about explainable AI, algorithmic fairness and more
Counterfactual SHAP: a framework for counterfactual feature importance
XAI-Analytics is a tool that opens the black-box of machine learning. It helps the user to understand the decision-making process of machine learning models.
Explainable AI: From Simple Rules to Complex Generative Models
데이터 과학 모형
Code of experiments implemented in the paper "Explainability of Predictive Process Monitoring results: Techniques, Experiments and Lessons Learned", comparing XAI methods at different granularities (global/local) with different settings on predictive process monitoring outcomes using process mining event logs
A Team Project on developing COVID-19 predictor with chest X-Ray images as dataset under Data Science with R subject of Otto-von-Guericke-University, Magdeburg
Explainable prediction of next year GDP Growth using the Kaggle World Development Indicators
Project looking into air traffic trends after winter Holidays in the US.
Optimizing Mind static website v1
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