In: Algorithms, 2020, vol. 13, no. 12, p. 17
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplete data is usually implemented with the Expectation-Maximisation algorithm (EM), which computes the relevant sufficient statistics (“soft EM”) ...
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In: Scientometrics, 2021, vol. 126, no. 2, p. 1311–1328
The aim of this study was to examine how institutional barriers arising from policy decisions influence the level of participation of third- party countries in European Framework Programs (EU-FPs). To achieve this, we contrasted the effect of EU funding restrictions following Switzerland’s 2014 reclassification as a “third country” in Horizon 2020, and the political uncertainties resulting...
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In: Industrial and Corporate Change, 2017, vol. 26, no. 4, p. 617-646
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In: Empirical Economics, 2015, vol. 49, no. 2, p. 751-781
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In: Business & Information Systems Engineering, 2015, vol. 57, no. 4, p. 279-292
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In: Conservation Genetics, 2015, vol. 16, no. 3, p. 503-512
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In: Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, p. 123140
Interacting with each other, individuals in a population form various social network topologies. Models of evolutionary games on networks provide insight into how the collective behaviors of structured populations are influenced by individual decision making and network topologies. In a hierarchical society, many social resources are allocated according to certain social rankings, such as...
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In: ASEM Education in a digital world : bridging the continents - connecting the people, 2019, p. 18-29
A university program that allow students to collaborate online with culturally-diverse learners is an opportunity that is currently valued. Collaborative online international learning (COIL) programs have been developed for several years, and previous experiences offer insights about what makes their design and implementation difficult. The systematic literature review presented in this paper...
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In: Physics Reports, 2019, vol. 832, p. 1–32
With the rapid development of science and technology, the world is becoming increasingly connected. The following dire need for understanding both the relationships amongst individuals and the global structural characteristics brings forward the study of network sciences and many interdisciplinary subjects in recent years. As a result, it is crucial to have methods and algorithms that help us...
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In: Entropy, 2019, vol. 21, no. 9, p. 859
In many industries, partners are interconnected in project alliances that have limited lifespans and clearly-defined boundaries. The transparency of the movie industry provides a unique opportunity to study how alliance network topologies impact the performance of project alliances from the perspectives of social networks and organization theories. In this work, we compiled a massive movie...
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