Titlebook: Database and Expert Systems Applications; 33rd International C Christine Strauss,Alfredo Cuzzocrea,Ismail Khalil Conference proceedings 202

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Cooperative Robots and Sensor Networks 2014h an asymmetric number of instances of different classes. This paper considers the binary classification task in the case of a short unbalanced set of medical data. The authors improved the implementation of the Probabilistic Neural Network (I-PNN). It is based on a new method of forming the outputs

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Cooperative Robots and Sensor Networks 2014le in many domains such as credit card fraud identification, network intrusion detection, medical image processing and so on. The inherent class imbalance in datasets is one of the major reasons why this problem is difficult to solve. The small number of outliers are not adequate to characterize the

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978-3-031-12425-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl