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pro vyhledávání: '"Ausloos, P."'
In this paper, we propose how to use objective arguments grounded in statistical mechanics concepts in order to obtain a single number, obtained after aggregation, which would allow to rank "agents", "opinions", ..., all defined in a very broad sense
Externí odkaz:
http://arxiv.org/abs/2405.00041
Autor:
Ausloos, Marcel
Publikováno v:
European Journal of Operational Research 314 (2024) 807-816
In this paper, I report some investigation discussing team selection, whence hierarchy, through ranking indicators, for example when measuring professional cyclist team's sportive value, in particular in multistage races. A logical, it seems, constra
Externí odkaz:
http://arxiv.org/abs/2404.02910
Purpose: The study aims to analyze the synergy of Artificial Intelligence (AI), with scientometrics, webometrics, and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields. Design/met
Externí odkaz:
http://arxiv.org/abs/2403.18838
Publikováno v:
Quality & Quantity 57 (2023) 3685-3712
Highly cited papers are influenced by external factors that are not directly related to the document's intrinsic quality. In this study, 50 characteristics for measuring the performance of 68 highly cited papers, from the Journal of the American Medi
Externí odkaz:
http://arxiv.org/abs/2306.13492
Autor:
Ausloos, Marcel
It seems that one cannot find many papers relating entropy to sport competitions. Thus, in this paper, I use (i) the Shannon intrinsic entropy ($S$) as an indicator of "teams sporting value" (or "competition performance") and (ii) the Herfindahl-Hirs
Externí odkaz:
http://arxiv.org/abs/2306.10560
Autor:
Vinte, Claudiu, Ausloos, Marcel
Publikováno v:
Journal of Risk Financial Management 2023, 16(2), 114
Selecting stock portfolios and assessing their relative volatility risk compared to the market as a whole, market indices, or other portfolios is of great importance to professional fund managers and individual investors alike. Our research uses the
Externí odkaz:
http://arxiv.org/abs/2303.09330
Autor:
Zahra Mohammadzadeh, Mehdi Shokri, Hamid Reza Saeidnia, Marcin Kozak, Agostino Marengo, Brady D Lund, Marcel Ausloos, Nasrin Ghiasi
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Experts are currently investigating the potential applications of the metaverse in healthcare. The metaverse, a groundbreaking concept that arose in the early 21st century through the fusion of virtual reality and augmented realit
Externí odkaz:
https://doaj.org/article/c73fbb9b6c32450280f73b378eac5775
Autor:
Valerie Hase, Jef Ausloos, Laura Boeschoten, Nico Pfiffner, Heleen Janssen, Theo Araujo, Thijs Carrière, Claes de Vreese, Jörg Haßler, Felicia Loecherbach, Zoltán Kmetty, Judith Möller, Jakob Ohme, Elisabeth Schmidbauer, Bella Struminskaya, Damian Trilling, Kasper Welbers, Mario Haim
Publikováno v:
Internet Policy Review, Vol Volume 13, Iss Issue 3 (2024)
Research into digital platforms has become increasingly difficult. One way to overcome these difficulties is to build on data access rights in EU data protection law, which requires platforms to offer users a copy of their data. In data donation stud
Externí odkaz:
https://doaj.org/article/3b117943129445b49e22be39ca74e9cd
This paper faces a central theme in applied statistics and information science, which is the assessment of the stochastic structure of rank-size laws in text analysis. We consider the words in a corpus by ranking them on the basis of their frequencie
Externí odkaz:
http://arxiv.org/abs/2210.06963
Publikováno v:
Physics, Vol 6, Iss 2, Pp 468-482 (2024)
In this study, we propose how to use objective arguments grounded in statistical mechanics concepts in order to obtain a single number, obtained after aggregation, which would allow for the ranking of “agents”, “opinions”, etc., all defined i
Externí odkaz:
https://doaj.org/article/6689686e2d1646f3a504d6acd321457d