Machine Learning (ML) models are inherently approximate; as a result, the predictions of an ML model can be wrong. In applications where errors jeopardize company’s reputation, human experts often have to manually check alarms raised by hand, wrong or delayed decisions significant business impact. These use interpretable tools for verification predictions. However, post-prediction is also costl...

Hepatocellular carcinoma is the fifth most common cancer worldwide and approaches to treatmentdiffer due stage of disease. According BCLC classification, B patients are recommendedto be underwent transarterial chemoembolization. However, integrates with differentintrahepatic tumor burden different liver deterioration. There many staging classifications thatdetermine treatment survival rates het...

Distributions on classifications are met wherever we work with categorical variables. A vast investigation has been done in developing methods for statistical analysis of nominal variables (e.g. variables with simple classification), partially are solved also problems for ordered classifications and classifications with assigned numbers. In this paper we propose a general model which enables us...

Following publications emphasizing the need of a taxonomy for instructional methods, this article presents a literature review on classifications for learning and teaching in order to identify possible classifications for instructional methods. Data was collected for 37 classifications capturing the origins, theoretical underpinnings, purposes and uses, as well as degrees of documentation of th...