This paper illustrates how a combination of information retrieval, machine learning, and NLP corpus annotation techniques was applied to a problem of text content reliability estimation in Web documents. Our proposal for text content reliability estimation is based on a model in which reliability is a similarity measure between the content of the documents and a knowledge corpus. The proposal i...

Software reliability is a special aspect of reliability engineering. System reliability, by definition, includes all parts of the system, including hardware, software, supporting infrastructure (including critical external interfaces), operators and procedures. Software reliability is a key part in software quality. The study of software reliability can be categorized into three parts: modeling...

In the past decades, machine learning (ML) tools have been successfully used in several medical diagnostic problems. While they often significantly outperform expert physicians (in terms of diagnostic accuracy, sensitivity, and specificity), they are mostly not being used in practice. One reason for this is that it is difficult to obtain an unbiased estimation of diagnose's reliability. We disc...

In the past decades Machine Learning algorithms have been successfully used in several classification problems. While they often significantly outperform domain experts (in terms of classification accuracy or otherwise), they are mostly not being used in practice. A plausible reason for this is that it is difficult to obtain an unbiased estimation of a single classification’s reliability. While...