Software project management is one of the significant activates in the software development process. Software Development Effort Estimation (SDEE) is a challenging task in the software project management. SDEE is an old activity in computer industry from 1940s and has been reviewed several times. A SDEE model is appropriate if it provides the accuracy and confidence simultaneously before softwa...

The feature interaction problem is prominent in telephone service development. Through a number of case studies, we have discovered that no one semantic framework is suitable for the synthesis and analysis of formal feature requirements models. We illustrate our mixed-model approach, where we use OO LOTOS, B and TLA+ in a complementary fashion. A simple combination of call forwarding and call s...

the aim of this research is to study the relations between personality types (introverted and extroverted), intelligence, sexuality and semantic conditioning. for this purpose, 94 subjects were selected through systematic random sampling from among the students of the first and second semesters of psychology at islamic azad university of roudhen. eysenck personality test and raven iq test were ...

In this thesis we present approaches to the creation and usage of semantic models by the analysis of the data spread in the feature space. We aim to introduce the general notion of using feature selection techniques in machine learning applications. The applied approaches obtain new feature directions on data, such that machine learning applications would show an increase in performance. We rev...

Multi-word lexical units are a typical feature of specialized dictionaries, in particular monolingual and bilingual maritime dictionaries. The paper studies the concept of the multi-word lexical unit and considers the similarities and differences of their selection and presentation in monolingual and bilingual maritime dictionaries. The work analyses such issues as the classification of multi-w...

Marker gene selection has been an important research topic in the classification analysis of gene expression data. Current methods try to reduce the "curse of dimensionality" by using statistical intra-feature set calculations, or classifiers that are based on the given dataset. In this paper, we present SoFoCles, an interactive tool that enables semantic feature filtering in microarray classif...

when the number of training samples is limited, feature reduction plays an important role in classification of hyperspectral images. in this paper, we propose a supervised feature extraction method based on discriminant analysis (da) which uses the first principal component (pc1) to weight the scatter matrices. the proposed method, called da-pc1, copes with the small sample size problem and has...

methods in this research, we utilized the chaos theory and fractal analysis in the interpretation of breast tumors on dce-mri. this cross-sectional study was done at pardisnoor imaging center during years 2015 and 2016 in iran. our sample size was 18 mass lesions, which were randomly selected among patients with birad 3 and birad 4 classification by the expert radiologist. the analysis was perf...

We use mobile sensor data to predict a mobile phone user’s semantic place, e.g. at home, at work, in a restaurant etc. Such information can be used to feed context-aware systems, that adapt for instance mobile phone settings like energy saving, connection to Internet, volume of ringtones etc. We consider the task of semantic place prediction as classification problem. In this paper we exploit f...

Improving the Accuracy of Global Feature Fusion Based Image Categorisation p. 1 Stopping Region-Based Image Segmentation at Meaningful Partitions p. 15 Semantic Multimedia Annotation I Hierarchical Long-Term Learning for Automatic Image Annotation p. 28 LSA-Based Automatic Acquisition of Semantic Image Descriptions p. 41 Domain-Restricted Generation of Semantic Metadata from Multimodal Sources ...