Despite achieving success in many domains, deep learning models remain mostly black boxes, especially electroencephalogram (EEG)-related tasks. Meanwhile, understanding the reasons behind model predictions is quite crucial assessing trust and performance promotion EEG-related In this work, we explore use of representative interpretable to analyze behavior convolutional neural networks (CNN) EEG...

The human facial recognition is the base for all facial processing systems. In this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.The proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. Inaddition, to do face...

Objective: One of the long-term goals and strategies of the country for development in the 20-year vision plan is the development of the knowledge-based economy, so that with pursuing this strategy, Iran could become a knowledge-based economy by 1404. The purpose of this research is to explain the economic status of Iran among regional competitors based on the components of knowledge-based econ...

AIMS is a knowledge-based system for learning and teaching support within the context of distance education. It is aimed not only at enhancing learner's conceptual knowledge in a specific subject area but also at providing knowledge verification tools for the teacher. The system can be used to aid learning and teaching in different subject areas and to provide user-oriented support in searching...

Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that cases are embedded within a general domain model. This increases the knowledge-intensiveness of the cases themselves. A knowledge-intensive CBR method calls for powerful knowledge acquisition and modeling techniques,...

Abs t rac t . This paper presents our approach for knowledge acquisition from multiple experts. In order to build a cooperative KBS, representing the knowledge of several experts and intended to multiple users inside an organization, we propose a model of cognitive agent for guiding the process of knowledge acquisition. This model of agent can serve as a basis for specifying the future KBS to b...

Customers of electronic shops find more and more support for the search and selection of products in the sales systems. Unfortunately, most of the shops do not provide additional support with parameterizable or configurable products. Such products could be further customized. One of the major problems most customization techniques suffer from is that they require large knowledge acquisition eff...

In this paper, we give a survey on the AI-field Configuration. Because configuration of software-intensive systems is currently seen as a main challenge for knowledge-based configuration, this topic is emphasized. Main challenges related to this topic are next to others: softwareintensive applications, combining of configuration, modeling and evolution of software components, integration of kno...