1. A review of uncertainty quantification in deep learning: Techniques, applications and challenges
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3. Towards Reliable Online Just-in-Time Software Defect Prediction
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5. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation