Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
The dominant theory of what people can learn implicitly is that they learn chunks of adjacent elements in sequences. A type of musical grammar that goes beyond specifying allowabl...
Abstract. Current e-learning standards have been designed to provide reusability of educational contents and interoperability between systems. Besides these features, content perso...
The paper presents the results of an empirical study on users' behaviors when they were asked to perform a task and its variant in a usability test. Specific focus was set on...