In many applications, the dearth of information to a proper training and use of supervised Machine Learning methods is a persistent problem. This fact led to the development of the semi-supervised learning paradigm. This paradigm can be understood as a combination of concepts of unsupervised and supervised paradigms. The way how the learning is conducted allows to organize the semi-supervised m...

Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...