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Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information
The paper presents a new method called 'Rule of Thumb' (RoT) for explaining how Artificial Intelligence systems make decisions. RoT identifies the most relevant features of an AI system to predict its behavior for a…
Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study
Researchers propose a new method for feature selection in renewable energy prediction pipelines, called Cluster-based Sequential Feature Selection (CSFS). This method aims to address the gap in limited or unsystematic…
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