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Evaluating the Impact of Loss Function Variation in Deep Learning for Classification
The loss function is arguably among the most important hyperparameters for a neural network.
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction
The literature for fairness-aware machine learning knows a plethora of different fairness notions.
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