Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Georgy Sofronov"'
Publikováno v:
Frontiers in Ecology and Evolution, Vol 9 (2021)
Externí odkaz:
https://doaj.org/article/e5b4dbdc3c9348ac9c09aac4a71a4418
Autor:
Georgy Sofronov
Publikováno v:
Algorithms, Vol 15, Iss 12, p 470 (2022)
In a large variety of different fields, it is necessary to make decisions while information is still being collected [...]
Externí odkaz:
https://doaj.org/article/148d7188d3d244929f29a268242bcb4b
Autor:
Nishanthi Raveendran, Georgy Sofronov
Publikováno v:
Information, Vol 12, Iss 2, p 58 (2021)
Spatial data are very often heterogeneous, which indicates that there may not be a unique simple statistical model describing the data. To overcome this issue, the data can be segmented into a number of homogeneous regions (or domains). Identifying t
Externí odkaz:
https://doaj.org/article/e76fdcdbcafb4d88a9605bb539ffd2c1
Autor:
Lijing Ma, Georgy Sofronov
Publikováno v:
Algorithms, Vol 13, Iss 5, p 128 (2020)
It is very often the case that at some moment a time series process abruptly changes its underlying structure and, therefore, it is very important to accurately detect such change-points. In this problem, which is called a change-point (or break-poin
Externí odkaz:
https://doaj.org/article/3e33d7d19d474a61b4c8cb11eab94f89
Autor:
Georgy Sofronov
Publikováno v:
Mathematics, Vol 8, Iss 5, p 690 (2020)
An asset selling problem is one of well-known problems in the decision making literature. The problem assumes a stream of bidders who would like to buy one or several identical objects (assets). Offers placed by the bidders once rejected cannot be re
Externí odkaz:
https://doaj.org/article/8a8e0ed6df10473b9222e1aa935495b5
Autor:
Pavel V Shevchenko, Jiwook Jang, Matteo Malavasi, Gareth W Peters, Georgy Sofronov, Stefan Trück
Publikováno v:
Journal of Cybersecurity. 9
In this study we examine the nature of losses from cyber related events across different risk categories and business sectors. Using a leading industry dataset of cyber events, we evaluate the relationship between the frequency and severity of indivi
Autor:
Robert J. Chalkley, Kai Hooi Khoo, Daniel Kolarich, Erdmann Rapp, Yong Zhang, Hung Yi Wu, Miloslav Sanda, Jonas Nilsson, Enes Sakalli, Gun Wook Park, Doron Kletter, Kathirvel Alagesan, Katalin F. Medzihradszky, Rebeca Kawahara, Nathan Edwards, Radoslav Goldman, Nicolle H. Packer, Yehia Mechref, Wantao Ying, Joseph Zaia, Sriram Neelamegham, Bo Meng, Sergey Y. Vakhrushev, Benjamin L. Schulz, Markus Pioch, Benoit Liquet, Jin Young Kim, Johannes Stadlmann, Benjamin L. Parker, Terry Nguyen-Khuong, Jong Shin Yoo, Adam Pap, Nichollas E. Scott, Mingqi Liu, Marcus Hoffmann, Morten Thaysen-Andersen, Jingfu Zhao, Yingwei Hu, Göran Larson, Matthew S F Choo, Pengyuan Yang, Josef M. Penninger, Marshall Bern, Christina M. Woo, Weiqian Cao, Toan K. Phung, Giuseppe Palmisano, Kai Cheng, Anastasia Chernykh, Stuart M. Haslam, Yifan Huang, Hui Zhang, Cassandra L. Pegg, Georgy Sofronov
Publikováno v:
Nature Methods
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Nature methods, vol 18, iss 11
Kawahara, R, Chernykh, A, Alagesan, K, Bern, M, Cao, W, Chalkley, R J, Cheng, K, Choo, M S, Edwards, N, Goldman, R, Hoffmann, M, Hu, Y, Huang, Y, Kim, J Y, Kletter, D, Liquet, B, Liu, M, Mechref, Y, Meng, B, Neelamegham, S, Nguyen-Khuong, T, Nilsson, J, Pap, A, Park, G W, Parker, B L, Pegg, C L, Penninger, J M, Phung, T K, Pioch, M, Rapp, E, Sakalli, E, Sanda, M, Schulz, B L, Scott, N E, Sofronov, G, Stadlmann, J, Vakhrushev, S Y, Woo, C M, Wu, H Y, Yang, P, Ying, W, Zhang, H, Zhang, Y, Zhao, J, Zaia, J, Haslam, S M, Palmisano, G, Yoo, J S, Larson, G, Khoo, K H, Medzihradszky, K F, Kolarich, D, Packer, N H & Thaysen-Andersen, M 2021, ' Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis ', Nature Methods, vol. 18, no. 11, pp. 1304-1316 . https://doi.org/10.1038/s41592-021-01309-x
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Nature methods, vol 18, iss 11
Kawahara, R, Chernykh, A, Alagesan, K, Bern, M, Cao, W, Chalkley, R J, Cheng, K, Choo, M S, Edwards, N, Goldman, R, Hoffmann, M, Hu, Y, Huang, Y, Kim, J Y, Kletter, D, Liquet, B, Liu, M, Mechref, Y, Meng, B, Neelamegham, S, Nguyen-Khuong, T, Nilsson, J, Pap, A, Park, G W, Parker, B L, Pegg, C L, Penninger, J M, Phung, T K, Pioch, M, Rapp, E, Sakalli, E, Sanda, M, Schulz, B L, Scott, N E, Sofronov, G, Stadlmann, J, Vakhrushev, S Y, Woo, C M, Wu, H Y, Yang, P, Ying, W, Zhang, H, Zhang, Y, Zhao, J, Zaia, J, Haslam, S M, Palmisano, G, Yoo, J S, Larson, G, Khoo, K H, Medzihradszky, K F, Kolarich, D, Packer, N H & Thaysen-Andersen, M 2021, ' Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis ', Nature Methods, vol. 18, no. 11, pp. 1304-1316 . https://doi.org/10.1038/s41592-021-01309-x
Glycoproteomics is a powerful yet analytically challenging research tool. Software packages aiding the interpretation of complex glycopeptide tandem mass spectra have appeared, but their relative performance remains untested. Conducted through the HU
Autor:
Gareth W. Peters, Matteo Malavasi, Georgy Sofronov, Pavel V. Shevchenko, Stefan Trück, Jiwook Jang
We focus on model risk and risk sensitivity when addressing the insurability of cyber risk. The standard statistical approaches to assessment of insurability and potential mispricing are enhanced in several aspects involving consideration of model ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::120963d79145178a109a732af5f2c4ff
Autor:
Lijing Ma, Georgy Sofronov
Publikováno v:
MODSIM2021, 24th International Congress on Modelling and Simulation..
Publikováno v:
Statistical Papers. 61:1347-1349