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Institution

University of Economics in Bratislava

EducationBratislava, Slovakia
About: University of Economics in Bratislava is a education organization based out in Bratislava, Slovakia. It is known for research contribution in the topics: European union & Population. The organization has 622 authors who have published 1015 publications receiving 5464 citations.


Papers
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Journal ArticleDOI
01 Jan 2016
TL;DR: A literature review considering articles on artificial neural networks in business published in last two decades revealed that most of the research has aimed at financial distress and bankruptcy problems, stock price forecasting, and decision support, with special attention to classification tasks.
Abstract: We introduce a literature review considering articles on artificial neural networks in business published in last two decades.412 suitable articles are identified and classified according to defined methodology.We focus on date, area of interest, type of neural network, benchmark method, journal and citations.The most applied are multilayer feedforward networks with backpropagation learning performed by gradient descent algorithm.Majority (25.73%) of the examined articles were published in Expert Systems with Applications. In recent two decades, artificial neural networks have been extensively used in many business applications. Despite the growing number of research papers, only few studies have been presented focusing on the overview of published findings in this important and popular area. Moreover, the majority of these reviews were introduced more than 15 years ago. The aim of this work is to expand the range of earlier surveys and provide a systematic overview of neural network applications in business between 1994 and 2015. We have covered a total of 412 articles and classified them according to the year of publication, application area, type of neural network, learning algorithm, benchmark method, citations and journal. Our investigation revealed that most of the research has aimed at financial distress and bankruptcy problems, stock price forecasting, and decision support, with special attention to classification tasks. Besides conventional multilayer feedforward network with gradient descent backpropagation, various hybrid networks have been developed in order to improve the performance of standard models. Even though neural networks have been established as well-known method in business, there is enormous space for additional research in order to improve their functioning and increase our understanding of this influential area.

252 citations

Journal ArticleDOI
TL;DR: An extensive review of the mini-language approach to teaching programming, which outlines the problems that motivate the application, presents a brief history, review several existing mini-languages, and provides discussion of lessons learned.
Abstract: Mini-languages are a visually intuitive, simple and powerful way to introduce students to programming. They are a good foundation for general computer science instruction, provide insight into programming for the general population, and teach algorithmic thinking. The goal of the paper is to provide an extensive review of the mini-language approach to teaching programming. For different audiences and in different countries, the authors have extensive experience in design and application of mini-languages. We outline the problems that motivate the application of this approach, present a brief history, review several existing mini-languages, and provide discussion of lessons learned. In particular, we discuss how to choose a mini-language for a particular group of students and list some requirements for a successful application of a mini- language. We conclude with a discussion of possible future directions of the mini-language approach development

192 citations

Journal ArticleDOI
TL;DR: The authors analyzed the transmission of global financial crisis to business cycles in China and India and found a significant link between trade ties and dynamic correlations of GDP growth rates in emerging Asian countries and OECD countries.

143 citations

Journal ArticleDOI
TL;DR: The research showed that the model created from photogrammetric data from the UAV achieves the accuracy required by current national legislation and indicates that the combination of low-cost UAV and a digital camera may be used as a viable alternative for the collection of data with the goal to document surface structures and to form 3D models formed from this data.

130 citations

Journal ArticleDOI
TL;DR: In this paper, the authors extended the generalizability of the Dow and Karunaratna scales by testing their criterion-related validity with respect to three specific foreign direct investment (FDI) issues: predicting market selection, entry mode choice and performance.

118 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202214
2021129
2020122
201977
201885