Esmaeli, Hossein

[ 1 ] - Online learning of positive and negative prototypes with explanations based on kernel expansion

The issue of classification is still a topic of discussion in many current articles. Most of the models presented in the articles suffer from a lack of explanation for a reason comprehensible to humans. One way to create explainability is to separate the weights of the network into positive and negative parts based on the prototype. The positive part represents the weights of the correct class ...