ORCID Profile
0000-0003-0637-6028
Current Organisations
Deakin University
,
Systems Research Institute Polish Academy of Sciences
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Optimisation | Neural, Evolutionary and Fuzzy Computation | Pure Mathematics not elsewhere classified | Artificial Intelligence and Image Processing
Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences |
Publisher: Elsevier BV
Date: 12-2013
Publisher: Springer International Publishing
Date: 2018
Publisher: Elsevier BV
Date: 10-2012
Publisher: IEEE
Date: 07-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Publisher: Springer International Publishing
Date: 2014
Publisher: Elsevier BV
Date: 11-2021
Publisher: Elsevier BV
Date: 10-2011
Publisher: Elsevier BV
Date: 06-2018
Publisher: Springer International Publishing
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 25-08-2022
Publisher: Springer International Publishing
Date: 2014
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Elsevier BV
Date: 02-2013
Publisher: Elsevier BV
Date: 12-2011
Publisher: Elsevier BV
Date: 12-2019
Publisher: World Scientific Pub Co Pte Lt
Date: 12-2016
DOI: 10.1142/S0218488516400018
Abstract: Economic inequality measures are employed as a key component in various socio-demographic indices to capture the disparity between the wealthy and poor. Since their inception, they have also been used as a basis for modelling spread and disparity in other contexts. While recent research has identified that a number of classical inequality and welfare functions can be considered in the framework of OWA operators, here we propose a framework of penalty-based aggregation functions and their associated penalties as measures of inequality.
Publisher: Wiley
Date: 22-04-2019
DOI: 10.1002/ASI.24231
Publisher: Springer International Publishing
Date: 2016
Publisher: Elsevier BV
Date: 10-2013
Publisher: Elsevier BV
Date: 02-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Elsevier BV
Date: 07-2021
Publisher: Elsevier BV
Date: 10-2017
Publisher: Springer Science and Business Media LLC
Date: 2016
Publisher: SAGE Publications
Date: 22-10-2018
Abstract: The efficacy of different league formats in ranking teams according to their true latent strength is analysed. To this end, a new approach for estimating attacking and defensive strengths based on the Poisson regression for modelling match outcomes is proposed. Various performance metrics are estimated reflecting the agreement between latent teams’ strength parameters and their final rank in the league table. The tournament designs studied here are used in the majority of European top-tier association football competitions. Based on numerical experiments, it turns out that a two-stage league format comprising of the three round-robin tournament together with an extra single round-robin is the most efficacious setting. In particular, it is the most accurate in selecting the best team as the winner of the league. Its efficacy can be enhanced by setting the number of points allocated for a win to two (instead of three that is currently in effect in association football).
Publisher: Springer International Publishing
Date: 2019
Publisher: Elsevier BV
Date: 05-2020
Publisher: Springer International Publishing
Date: 30-08-2017
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2016
Publisher: Springer Science and Business Media LLC
Date: 18-03-2009
Publisher: Springer International Publishing
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Publisher: Springer International Publishing
Date: 2016
Publisher: Elsevier BV
Date: 10-2016
Publisher: Springer International Publishing
Date: 2015
Publisher: Elsevier BV
Date: 12-2023
Publisher: Elsevier BV
Date: 04-2014
Publisher: Springer Science and Business Media LLC
Date: 14-02-2019
Publisher: Elsevier BV
Date: 03-2015
Publisher: Elsevier BV
Date: 11-2022
Publisher: Springer International Publishing
Date: 2016
Publisher: Elsevier BV
Date: 04-2015
Publisher: IEEE
Date: 11-10-2015
DOI: 10.15439/2015F418
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 04-2015
Publisher: Elsevier BV
Date: 08-2023
Publisher: Informa UK Limited
Date: 29-10-2015
Publisher: IEEE
Date: 07-2017
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 07-2021
Publisher: Proceedings of the National Academy of Sciences
Date: 08-06-2020
Abstract: The growing popularity of bibliometric indexes (whose most famous ex le is the h index by J. E. Hirsch [J. E. Hirsch, Proc. Natl. Acad. Sci. U.S.A. 102, 16569–16572 (2005)]) is opposed by those claiming that one’s scientific impact cannot be reduced to a single number. Some even believe that our complex reality fails to submit to any quantitative description. We argue that neither of the two controversial extremes is true. By assuming that some citations are distributed according to the rich get richer rule (success breeds success, preferential attachment) while some others are assigned totally at random (all in all, a paper needs a bibliography), we have crafted a model that accurately summarizes citation records with merely three easily interpretable parameters: productivity, total impact, and how lucky an author has been so far.
Publisher: Elsevier BV
Date: 10-2019
Publisher: Springer Science and Business Media LLC
Date: 25-03-2022
DOI: 10.1007/S11192-022-04345-2
Abstract: We demonstrate that by using a triple of simple numerical summaries: an author’s productivity, their overall impact, and a single other bibliometric index that aims to capture the shape of the citation distribution, we can reconstruct other popular metrics of bibliometric impact with a sufficient degree of precision. We thus conclude that the use of many indices may be unnecessary – entities should not be multiplied beyond necessity. Such a study was possible thanks to our new agent-based model (Siudem et al. in Proc Natl Acad Sci 117:13896–13900, 2020, 10.1073 nas.2001064117 ), which not only assumes that citations are distributed according to a mixture of the rich-get-richer rule and sheer chance, but also fits real bibliometric data quite well. We investigate which bibliometric indices have good discriminative power, which measures can be easily predicted as functions of other ones, and what implications to the research evaluation practice our findings have.
Location: Poland
Start Date: 2018
End Date: 2020
Funder: Grantová Agentura České Republiky
View Funded ActivityStart Date: 2021
End Date: 2023
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2021
End Date: 02-2025
Amount: $357,735.00
Funder: Australian Research Council
View Funded Activity