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An analysis of retracted papers in Computer Science
There is also a remarkable disparity between different publishers, a tendency for multiple versions of a retracted paper over and above the Version of Record (VoR), and for new citations long after a paper is officially retracted.
The impact of using biased performance metrics on software defect prediction research
Unfortunately, we also found evidence suggesting that F1 remains widely used in software defect prediction research.
The Prevalence of Errors in Machine Learning Experiments
Objective: We investigate the incidence of errors in a sample of machine learning experiments in the domain of software defect prediction.
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