The leave-one-out validation strategy has not been used during the hyperparameter tuning phase because of its computational complexity. However, it provides a good estimate of the model’s performance on new data points. As the tuning choices have been made on the dataset through k-fold cross...
Both the hidden layer size and the number of epochs were determined after running a grid search for hyperparameter tuning, by fitting the model with different configurations of these parameters, using the fivefold cross validation model fitting. The last unit includes a 4-way softmax layer for ...
Current approaches concentrate on various data augmentations or hyperparameter tuning options to make the attacks more powerful. At the same time, understanding what makes an attack difficult has received very little attention. This paper proposes a side-channel analysis methodology based on the ...
These algorithms simultaneously combined the continuous and binary representations of PSO and SMO to effectively manage trade-offs between accuracy, feature selection, and hyperparameter tuning. We evaluated several CAD models and investigated the impact of handcrafted methods such as Local Binary Patterns...