Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ivan Derevitskii"'
Autor:
Elizaveta Stavinova, Ilyas Varshavskiy, Petr Chunaev, Ivan Derevitskii, Alexander Boukhanovsky
Publikováno v:
Smart Cities, Vol 6, Iss 3, Pp 1303-1324 (2023)
Dynamic pricing is frequently used in online marketplaces, ticket sales, and booking systems. The commercial principles of dynamic pricing systems are often kept secret; however, their application causes complex changes in human behavior. Thus, a sci
Externí odkaz:
https://doaj.org/article/43f70a2a5e934e8ab8a7e6028d09d6c1
A trust and relevance-based Point-Of-Interest recommendations method with inaccessible user location
Publikováno v:
In Procedia Computer Science 2020 178:153-161
Autor:
Ivan Derevitskii, Valery Volokha
Publikováno v:
Procedia Computer Science. 193:102-111
Publikováno v:
2022 IEEE 16th International Conference on Semantic Computing (ICSC).
Autor:
Alexey V. Kurilkin, Ivan Derevitskii, Vladislav Karbovskii, Alva Presbitero, Daniil V. Voloshin, Andrey Karsakov, Michael Lees, Peter M. A. Sloot
Publikováno v:
Engineering Applications of Artificial Intelligence, 106:104469. Elsevier
The Kumbh Mela festival is the largest mass gathering in the world that is celebrated every three years. In 2016, it attracted over 70 million people to Ujjain, India. The Mahakal temple is the “heart” of the festival that attracts a huge number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff9053b5b41724cfb499f106a530e7b4
https://dare.uva.nl/personal/pure/en/publications/ensemble-learning-for-largescale-crowd-flow-prediction(f64576d7-df56-4563-bc45-b2f2400d7754).html
https://dare.uva.nl/personal/pure/en/publications/ensemble-learning-for-largescale-crowd-flow-prediction(f64576d7-df56-4563-bc45-b2f2400d7754).html
Autor:
Ivan Derevitskii, Gleb Glukhov
Publikováno v:
2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT).
Publikováno v:
Procedia Computer Science. 156:274-282
The paper presents an unsupervised method for anomaly detection named Adaptive Suppression (AS). The method relies on distance metrics between data points and receives hypothesis about percent of anomalies in dataset. Data points having initial accum
Publikováno v:
Procedia Computer Science. 136:265-273
This work is devoted to recovering of peoples’ purchase interests from open data and to studying the connections between observable and actual interests. We propose an approach to extracting the interests from heterogeneous data sources according t
Publikováno v:
SNAMS
We propose the clustering-based approach for customer segmentation based on their digital traces. The weighted graph of co-occurrences of interests is created (with and without an account of socio-demographical stratum), and the graph is further clus
Autor:
Oksana Severiukhina, Michael Lees, Alva Presbitero, Daniil V. Voloshin, Ivan Derevitskii, Vladislav A. Karbovskii
Publikováno v:
Journal of Computational Science, 36:100893. Elsevier
Modification of space through the installation of obstacles is one way to control the flow of human crowds. Carefully placed obstacles coupled with existing architectural structures can be used to improve crowd safety at mass gatherings. Although thi