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Importance of Tuning Hyperparameters of Machine Learning Algorithms
The performance of many machine learning algorithms depends on their hyperparameter settings.
A Human-Grounded Evaluation of SHAP for Alert Processing
In this paper we present the results of a human-grounded evaluation of SHAP, an explanation method that has been well-received in the XAI and related communities.
Case-Based Reasoning for Assisting Domain Experts in Processing Fraud Alerts of Black-Box Machine Learning Models
In many contexts, it can be useful for domain experts to understand to what extent predictions made by a machine learning model can be trusted.
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