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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Intelligent Decision Technologies. Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)

Vol. 193. Singapore : Springer, 2020.
Under the general editorship: R. Howlett, L. Jain, I. Czarnowski

This volume contains the proceedings of the 12 International KES Conference on
Intelligent Decision Technologies (KES-IDT 2020) being held as a Virtual
Conference, in June 17–19, 2020.
The KES-IDT is an international annual conference organized by KES
International. The KES-IDT conference is a sub-series of the KES Conference series.
The KES-IDT is an interdisciplinary conference and provides opportunities for
the presentation of new research results and discussion about them, leading to
knowledge transfer and generation of new ideas.
This edition, KES-IDT 2020, attracted a number of researchers and practitioners
from all over the world. The KES-IDT 2020 Programme Committee received
papers for the main track and six special sessions. Each paper has been reviewed by
2–3 members of the International Program Committee and International Reviewer
Board. Following a review process, only the highest quality submissions were
accepted for inclusion in the conference. The 47 best papers have been selected for
oral presentation and publication in the KES-IDT 2020 proceeding.
We are very satisfied with the quality of the program and would like to thank the
authors for choosing KES-IDT as the forum for presentation of their work. Also, we
gratefully acknowledge the hard work of the KES-IDT international program
committee members and of the additional reviewers for taking the time to review
the submitted papers and selecting the best among them for presentation at the
conference and inclusion in its proceedings.
We hope and intend that KES-IDT 2020 significantly contributes to the fulfillment
of the academic excellence and leads to even greater successes of KES-IDT
events in the future.

Chapters
Digital Systems for eCTD Creation on the Pharmaceutical Market of the Eurasian Economic Union
Koshechkin K., Lebedev G., Zykov S. V., , in: Intelligent Decision Technologies. Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)Vol. 193.: Singapore: Springer, 2020. P. 379–389.
Pharmaceutical market integration is highly dependent on digital technologies in general and the Internet in particular. The work aims are to study the available software for creating Electronic common technical documents and the possibility of its application on the Eurasian Economic Unionmarket.To obtain information, the surveywas performed based on employees of pharmaceutical companies, which were interviewed to identify the software ...
Added: August 19, 2020
Improve Statistical Reporting Forms in Research Institutions of the Health Ministry of Russia
Zykov S. V., Lebedev G., Krylov O. et al., , in: Intelligent Decision Technologies. Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)Vol. 193.: Singapore: Springer, 2020. P. 429–435.
The effectiveness of the research results implementation is one of the main indicators that must be taken into account in the allocation of budget funds for research. The requirement of efficiency of spending budget funds allocated for research works leads to the necessity for continuous improvement of the methodological apparatus of decision support on the allocation of funds, including ...
Added: August 19, 2020
Chat-Based Approach Applied to Automatic Livestream Highlight Generation
Zykov S. V., Drankou P., , in: Intelligent Decision Technologies. Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)Vol. 193.: Singapore: Springer, 2020. P. 437–447.
Highlight generation and subsequent video production processes are expensive when it is done by humans. The paper shows how the process can be automated. It defines the highlight generation problem, suggests and discusses five different approaches for solving this problem. Statistics-based approach is discussed separately in deep detail along with algorithm implementation elements.Web-based highlight generation and video production service requirements ...
Added: August 19, 2020
Artificial neural network in predicting cancer based on infrared spectroscopy
Cohen Y., Zilberman A., Zion Dekel B. et al., , in: Intelligent Decision Technologies. Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)Vol. 193.: Singapore: Springer, 2020. P. 141–153.
In this work, we present a Real-Time (RT), on-site, machine-learning-based methodology for identifying human cancers. The presented approach is reliable, effective, cost-effective, and non-invasive method, which is based on Fourier Transform Infrared (FTIR) spectroscopy—a vibrational method with the ability to detect changes as a result of molecular vibration bonds using Infrared (IR) radiation in human ...
Added: October 29, 2020
Research target: Computer Science
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: искусственный интеллектпринятие решенийинтеллектуальные технологииartificial intelligencedecision makingIntelligent Technologies and Systems
Intelligent Decision Technologies. Proceedings of the 12th KES International Conference on Intelligent Decision Technologies (KES-IDT 2020)
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