The aims of this study were to investigate concrete and abstract word definition ability (1) between patients with amnestic mild cognitive impairment (aMCI) and normal adults and (2) between the aMCI subtypes (i.e., amnestic single-domain MCI and amnestic multidomain MCI; asMCI and amMCI) and normal controls. The 68 patients with aMCI (29 asMCI and 39 amMCI) and 93 age- and education-matched no...

In this paper we consider discrimination-aware classification of educational data. Mining and using rules that distinguish groups of students based on sensitive attributes such as gender and nationality may lead to discrimination. It is desirable to keep the sensitive attributes during the training of a classifier to avoid information loss but decrease the undesirable correlation between the se...

Classification is an important technology in data mining, while clonal selection algorithm (CSA) is a very effective classification method. Although CSA brings a new effective tool for solving complex problems, we can not completely say that it over-performs to other algorithms especially in the classification field. A main problem of CSA classifier is that it does not carry attribute imbalance...

The theory of rough set is the current research focus for knowledge discovery, attribute reduction is one of crucial problem in rough set theory. Most existing attribute reduction algorithms are based on algebra and information representations, discernibility matrix is a common knowledge representation for attribute reduction. As problem solving under different knowledge representations corresp...

Keywords: mathematical morphology segmentation connected component attribute profile elongation area stability multiphoton microscopy In this paper, a method to segment elongated objects is proposed. It is based on attribute profiles and area stability. Images are represented as component trees using a threshold decomposition. Then, some attributes are computed on each node of the tree. Finally...

Attribute grammars are a powerful specification paradigm for many language processing tasks, particularly semantic analysis of programming languages. Recent attribute grammar systems use dynamic scheduling algorithms to evaluate attributes by need. In this paper, we show how to remove the need for a generator, by embedding a dynamic approach in a modern, object-oriented programming language to ...

whose presence at the department turned this place into more than just a simple place of work. As a staff member of the department, I had frequent cooperations with student assistants, laboratory students, and master students (Thank you to all these people, as well. Their efforts and contributions often relieved me in busy iii Danksagung times. Last but not least, my thanks go to our secretary,...