Institution
University of Maribor
Education•Maribor, Slovenia•
About: University of Maribor is a education organization based out in Maribor, Slovenia. It is known for research contribution in the topics: Population & KEKB. The organization has 3987 authors who have published 13077 publications receiving 258339 citations. The organization is also known as: Univerza v Mariboru.
Topics: Population, KEKB, Liquid crystal, European union, Branching fraction
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a colloquium is devoted to evolutionary games on multilayer networks, and in particular to the evolution of cooperation as one of the main pillars of modern human societies.
Abstract: Networks form the backbone of many complex systems, ranging from the Internet to human societies. Accordingly, not only is the range of our interactions limited and thus best described and modeled by networks, it is also a fact that the networks that are an integral part of such models are often interdependent or even interconnected. Networks of networks or multilayer networks are therefore a more apt description of social systems. This colloquium is devoted to evolutionary games on multilayer networks, and in particular to the evolution of cooperation as one of the main pillars of modern human societies. We first give an overview of the most significant conceptual differences between single-layer and multilayer networks, and we provide basic definitions and a classification of the most commonly used terms. Subsequently, we review fascinating and counterintuitive evolutionary outcomes that emerge due to different types of interdependencies between otherwise independent populations. The focus is on coupling through the utilities of players, through the flow of information, as well as through the popularity of different strategies on different network layers. The colloquium highlights the importance of pattern formation and collective behavior for the promotion of cooperation under adverse conditions, as well as the synergies between network science and evolutionary game theory.
603 citations
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TL;DR: In this article, a supersymmetric four-dimensional orientifolds of type IIA on T 6 /( Z 2 × Z 2 ) with D6-branes intersecting at angles was constructed.
563 citations
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TL;DR: This colloquium highlights the importance of pattern formation and collective behavior for the promotion of cooperation under adverse conditions, as well as the synergies between network science and evolutionary game theory.
Abstract: Networks form the backbone of many complex systems, ranging from the Internet to human societies. Accordingly, not only is the range of our interactions limited and thus best described and modeled by networks, it is also a fact that the networks that are an integral part of such models are often interdependent or even interconnected. Networks of networks or multilayer networks are therefore a more apt description of social systems. This colloquium is devoted to evolutionary games on multilayer networks, and in particular to the evolution of cooperation as one of the main pillars of modern human societies. We first give an overview of the most significant conceptual differences between single-layer and multilayer networks, and we provide basic definitions and a classification of the most commonly used terms. Subsequently, we review fascinating and counterintuitive evolutionary outcomes that emerge due to different types of interdependencies between otherwise independent populations. The focus is on coupling through the utilities of players, through the flow of information, as well as through the popularity of different strategies on different network layers. The colloquium highlights the importance of pattern formation and collective behavior for the promotion of cooperation under adverse conditions, as well as the synergies between network science and evolutionary game theory.
546 citations
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National University of Singapore1, University of Maribor2, Sewanee: The University of the South3, University of Edinburgh4, University of Hong Kong5, King's College London6, World Health Organization7, Seoul National University8, University of Barcelona9, Robert Koch Institute10, University of London11
TL;DR: This Health Policy paper uses an adapted framework to examine the approaches taken by nine high-income countries and regions that have started to ease COVID-19 restrictions: five in the Asia Pacific region (ie, Hong Kong [Special Administrative Region], Japan, New Zealand, Singapore, and South Korea) and four in Europe (IE, Germany, Norway, Spain, and the UK).
544 citations
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TL;DR: The basic characteristics of decision trees and the successful alternatives to the traditional induction approach are presented with the emphasis on existing and possible future applications in medicine.
Abstract: In medical decision making (classification, diagnosing, etc.) there are many situations where decision must be made effectively and reliably. Conceptual simple decision making models with the possibility of automatic learning are the most appropriate for performing such tasks. Decision trees are a reliable and effective decision making technique that provide high classification accuracy with a simple representation of gathered knowledge and they have been used in different areas of medical decision making. In the paper we present the basic characteristics of decision trees and the successful alternatives to the traditional induction approach with the emphasis on existing and possible future applications in medicine.
534 citations
Authors
Showing all 4077 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ignacio E. Grossmann | 112 | 776 | 46185 |
Mirjam Cvetič | 89 | 456 | 27867 |
T. Sumiyoshi | 88 | 855 | 62277 |
M. Bračko | 87 | 738 | 30195 |
Xin-She Yang | 85 | 444 | 61136 |
Matjaž Perc | 84 | 400 | 22115 |
Baowen Li | 83 | 477 | 23080 |
S. Nishida | 82 | 678 | 27709 |
P. Križan | 78 | 749 | 26408 |
S. Korpar | 78 | 615 | 23802 |
Attila Szolnoki | 76 | 231 | 20423 |
H. Kawai | 76 | 477 | 22713 |
John Shawe-Taylor | 72 | 503 | 52369 |
Matjaz Perc | 57 | 148 | 12886 |
Mitja Lainscak | 55 | 287 | 22004 |