Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Dragan Bojic"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-48 (2024)
Abstract Machine learning (ML) models have gained significant attention in a variety of applications, from computer vision to natural language processing, and are almost always based on big data. There are a growing number of applications and product
Externí odkaz:
https://doaj.org/article/b258232a1f0b4d9d82938c0b613025bb
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 31:1171-1212
Parallel test forms are ubiquitous in the educational, aptitude, achievement, and licensure testing. The problem of automated assembling of parallel test forms has been extensively explored for almost 40 years. Many different mathematical models of t
Contemporary healthcare systems face growing demand for their services, rising costs, and a workforce. Artificial intelligence has the potential to transform how care is delivered and to help meet the challenges. Recent healthcare systems have been f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88c99dabbb5f5a2454cd70b3bf891b3c
https://doi.org/10.4018/978-1-7998-7156-9.ch019
https://doi.org/10.4018/978-1-7998-7156-9.ch019
Publikováno v:
2020 28th Telecommunications Forum (TELFOR).
Development of malware protection tools requires a more advanced test environment comparing to safe software. This kind of development includes a safe execution of many malware samples in order to evaluate the protective power of the tool. The host m
Publikováno v:
Telfor Journal, Vol 10, Iss 2, Pp 91-96 (2018)
The analysis of the telemetry data in Azure SQL database has revealed that most of the problems affecting the customers are due to the schema inconsistency errors. An assumption has been made that direct e-mail notifications sent to the customers abo
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
This article overviews the emerging use of deep neural networks in data analytics and explores which type of underlying hardware and architectural approach is best used in various deployment locations when implementing deep neural networks. The locat
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 26:953-980
This paper presents our experience with the development of an automated knowledge test assembler. Items are selected from an item bank on the basis of precisely formulated formal criteria. The focus of our research was on the classification of criter
Publikováno v:
2018 14th Symposium on Neural Networks and Applications (NEUREL).
This survey paper overviews the landscape of emerging deep neural networks (neural networks for deep analytics) and explores what type of underlying hardware is likely to be used at various deployment locations: in dew, fog, and cloud computing (dew
Publikováno v:
IET Software. 9:166-173
The use case point (UCP) method is one of the most commonly used size estimation methods in software development. Applicability of UCP size for the project effort estimation is thoroughly investigated; however, little attention is devoted to the effo
Autor:
Dragan Bojic, Vuk Batanovic
Publikováno v:
Computer Science and Information Systems. 12:1-31
This paper presents POST STSS, a method of determining short-text semantic similarity in which part-of-speech tags are used as indicators of the deeper syntactic information usually extracted by more advanced tools like parsers and semantic role labe