Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Aliaksandr Birukou"'
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21592- (2023)
Artificial Intelligence (AI) is a rapidly developing field of research that attracts significant funding from both the state and industry players. Such interest is driven by a wide range of AI technology applications in many fields. Since many AI res
Externí odkaz:
https://doaj.org/article/54882464952d4cdca925b6ee870906d0
Autor:
Julian Franken, Aliaksandr Birukou, Kai Eckert, Wolfgang Fahl, Christian Hauschke, Christoph Lange
Publikováno v:
Data Science Journal, Vol 21, Iss 1 (2022)
Persistent identification of entities plays a major role in the progress of digitization of many fields. In the scholarly publishing realm there are already persistent identifiers (PID) for papers (DOI), people (ORCID), organisation (GRID, ROR), book
Externí odkaz:
https://doaj.org/article/96e92e6001254a5f8cde02eaceb54f05
Autor:
Iain Hrynaszkiewicz, Aliaksandr Birukou, Mathias Astell, Sowmya Swaminathan, Amye Kenall, Varsha Khodiyar
Publikováno v:
International Journal of Digital Curation, Vol 12, Iss 1 (2017)
To address the complexities researchers face during publication, and the potential community-wide benefits of wider adoption of clear data policies, the publisher Springer Nature has developed a standardised, common framework for the research data po
Externí odkaz:
https://doaj.org/article/6073bfc3d2324e90b43dd80125a8ca98
Autor:
Aliaksandr Birukou, Elise S. Brezis
Publikováno v:
Scientometrics. 123:393-411
The purpose of this paper is to analyze the causes and effects of arbitrariness in the peer review process. This paper focuses on two main reasons for the arbitrariness in peer review. The first is that referees are not homogenous and display homophi
Autor:
Aliaksandr Birukou, Enrico Motta, Angelo Antonio Salatino, Thiviyan Thanapalasingam, Francesco Osborne, Andrea Mannocci
Publikováno v:
Data Intelligence, Vol 2, Iss 3, Pp 379-416 (2020)
Data Intelligence
Data Intelligence
Ontologies of research areas are important tools for characterizing, exploring, and analyzing the research landscape. Some fields of research are comprehensively described by large-scale taxonomies, e.g., MeSH in Biology and PhySH in Physics. Convers
Autor:
Simone Angioni, Angelo Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta
Publikováno v:
The Semantic Web – ISWC 2022 ISBN: 9783031194320
Research publishing companies need to constantly monitor and compare scientific journals and conferences in order to inform critical business and editorial decisions. Semantic Web and Knowledge Graph technologies are natural solutions since they allo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a03bef31c1b9e67f6f9855d73ee58de
https://doi.org/10.1007/978-3-031-19433-7_42
https://doi.org/10.1007/978-3-031-19433-7_42
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030726096
AIST
AIST
Artificial Intelligence (AI) is a very active research area with a number of applications in business, communication, healthcare, etc. AI attracts great attention in Russia and in late 2019 was included in the country strategy till 2030. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f0c5110d38576970b3c68642deaf670
https://doi.org/10.1007/978-3-030-72610-2_28
https://doi.org/10.1007/978-3-030-72610-2_28
Autor:
Alexey Skalaban, Aliaksandr Birukou
Статья призвана оспорить утверждение "объединить же ссылки на версии одной и той же статьи в журналах разных издательств не представляе
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3da1e61c13cfd0a9f010cd2fac1ac977
https://doi.org/10.24108/preprints-3112059
https://doi.org/10.24108/preprints-3112059
Autor:
Ana Marušić, Mike Farjam, Francisco Grimaldo, Giangiacomo Bravo, Aliaksandr Birukou, B. Menhami, Michael Willis, Pierpaolo Dondio, Flaminio Squazzoni
This article examines gender bias in peer review with complete data on 145 journals in various fields of research, including about 1.7 million authors and 740,000 referees. We reconstructed three possible sources of bias, i.e., the editorial selectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b4804ae1cdf69c85af50ffb80b73bd
https://doi.org/10.31235/osf.io/gh4rv
https://doi.org/10.31235/osf.io/gh4rv
Autor:
Pierpaolo Dondio, Hollydawn Murray, Kalpana Shankar, Phil Hurst, Harry J. J. Blom, Peter W. Rodgers, Duncan Nicholas, Marco Seeber, Joris van Rossum, Giangiacomo Bravo, Flaminio Squazzoni, Bahar Mehmani, Giorgio Pedrazzi, Stephen J. Cowley, Iratxe Puebla, F. Bianchi, Tiago Barros, Ana Marušić, Michael Willis, Catriona J. MacCallum, Virginia Dignum, Petra Ahrweiler, Rachael Lammey, Francisco Grimaldo, Aliaksandr Birukou, Lynsey Haire, Jason Hoyt, Tony Ross-Hellauer
Publikováno v:
Squazzoni, F, Ahrweiler, P, Barros, T, Bianchi, F, Birukou, A, Blom, H J J, Bravo, G, Cowley, S, Dignum, V, Dondio, P, Grimaldo, F, Haire, L, Hoyt, J, Hurst, P, Lammey, R, MacCallum, C, Marušić, A, Mehmani, B, Murray, H, Nicholas, D, Pedrazzi, G, Puebla, I, Rodgers, P, Ross-Hellauer, T, Seeber, M, Shankar, K, Van Rossum, J & Willis, M 2020, ' Unlock ways to share data on peer review ', Nature, vol. 578, no. 7796, pp. 512-514 . https://doi.org/10.1038/d41586-020-00500-y
Peer review is the defining feature of scholarly communication. In a 2018 survey of more than 11, 000 researchers, 98% said that they considered peer review important or extremely important for ensuring the quality and integrity of scholarly communic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::effd4610f6152f1cc3aed9a5fb9748b7
http://hdl.handle.net/11379/539015
http://hdl.handle.net/11379/539015