Numerous bioinformaticians, computational biologists, and life-scientists in general are applying supervised learning techniques and feature selection in their research work. The tutorial is addressed to this audience intending to shield them against methodological pitfalls, inform them about new methodologies and tools emerging in the field of AutoML, and increase their productivity
Deep learning in Medicine and Bioinformatics: state of art and potentialities, visions