Figure 2.

Pipeline of the proposed hybrid machine learning-deep learning method. Five main steps can be distinguished: 1. Feature extraction, 2. Dynamic feature selection, 3. Optimal feature selection, 4. Classification on fine-tuning dataset, 5. Classification on independent test.