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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Procedia Computer Science

Vol. 122: 5th International Conference on Information Technology and Quantitative Management, ITQM 2017. Elsevier, 2017.
Academic editor: V. Ahuja, Y. Shi, D. Khazanchi, N. Abidi, Y. Tian, D. Berg, J. Tien

Proceedings of the Fifth International Conference on Information Technology and Quantitative Management (ITQM 2017), December 8-10, 2017, New Delhi, India. The theme of ITQM 2017 is "Creating Knowledge and Wisdom via Big Data Analytics". ITQM 2017 is organized by International Academy of Information Technology and Quantitative Management (IAITQM) and Jaypee Business School, India. IAITQM was formally inaugurated on June 3, 2012 with more than 50 founding members from China, United States, Australia, Japan, Lithuania, Poland, Romania, Spain, Singapore, South Korea, The Netherlands, Turkey and other countries. The International Conference on Information Technology and Quantitative Management (ITQM), established by IAITQM, is a global forum for exchanging research findings and case studies that bridge the latest information technology and quantitative management techniques. It explores how the use of information technology to improve quantitative management techniques and how the development of management tools can reshape the development of information technology.

Chapters
Decomposition of Evidence and Internal Conflict
Lepskiy A., , in: Procedia Computer ScienceVol. 122: 5th International Conference on Information Technology and Quantitative Management, ITQM 2017.: Elsevier, 2017. P. 186–193.
This paper is devoted to the study of estimation of internal conflict of evidence in the framework of belief functions theory. The decomposition approach, which was proposed early by the author, will be considered with this purpose. The establishment of some properties of this conflict measure is a main result of this paper. In particular, ...
Added: December 22, 2017
Hawkes processes for forecasting currency crashes: Evidence from Russia
Egorova L., Климюк И. Ю., , in: Procedia Computer ScienceVol. 122: 5th International Conference on Information Technology and Quantitative Management, ITQM 2017.: Elsevier, 2017. P. 1182–1188.
We consider models for predicting shocks in a foreign exchange market that take into account the endogenous nature of such crashes on the basis of the Hawkes processes. The intensity of the Hawkes processes depends on previous events that allow modeling the clustering effect and self-exciting behavior of returns after the crash. The models were ...
Added: January 15, 2018
Some Characteristics of Credal Sets and Their Application to Analysis of Polls Results
Bronevich A., Spiridenkova N., , in: Procedia Computer ScienceVol. 122: 5th International Conference on Information Technology and Quantitative Management, ITQM 2017.: Elsevier, 2017. P. 572–578.
In the theory of imprecise probabilities there are well established functionals for measuring uncertainty. Meanwhile, when we try to apply them to real problems they have a lack of meaningful interpretation. In this investigation we propose some characteristics of credal sets that seem to be useful for analyzing polls results. ...
Added: February 2, 2018
Manipulability of majoritarian rules by coalitions with the same first-ranked alternative
Aleskerov F. T., Karabekyan D., Ivanov A. et al., , in: Procedia Computer ScienceVol. 122: 5th International Conference on Information Technology and Quantitative Management, ITQM 2017.: Elsevier, 2017. P. 993–1000.
The coalitional manipulability of 13 majoritarian aggregation schemes (voting rules) is studied by computational experiments. We consider a special case of coalition formation in which all agents of manipulating coalition report the same first-ranked alternative upon manipulation, i.e. a group of agents misrepresents their preferences and they agree that the same alternative will be on ...
Added: July 16, 2018
Research target: Computer Science Economics and Management
Priority areas: economics IT and mathematics business informatics
Language: English
Text on another site
Keywords: quantitative management Information technology
Procedia Computer Science
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