for 100 epochs, with a batch size of 128 both for training and validation. Models were implemented in Python 3.6.9 (Keras 32 2.3.1 using Tensorflow 33 2.1.0 as backend) and run on two NVIDIA GeForce GTX 1070 GPUs. SMOTE data balancing was applied using the imbalanced-learn Python package. The statistical processing of results was performed in R software (3.6.3).