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Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
(Elsevier, 2019-05)
Commensurate with unprecedented increases in energy demand, a well-constructed forecasting model is vital to managing energy policies effectively by providing energy diversity and energy requirements that adapt to the ...
An explainable credit scoring framework: A use case of addressing challenges in applied machine learning
(IEEE, 2022)
While Machine Learning (ML) classification algorithms can accurately classify a borrower's credit risk, the determinants of the credit score cannot be interpreted clearly by customers, decision makers and auditors. The ...
Human and machine: The impact of machine input on decision making under cognitive limitations
(Informs, 2023-03)
The rapid adoption of artificial intelligence (AI) technologies by many organizations has recently raised concerns that AI may eventually replace humans in certain tasks. In fact, when used in collaboration, machines can ...
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