Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Stiene Praet"'
Publikováno v:
EPJ Data Science, Vol 10, Iss 1, Pp 1-25 (2021)
Abstract “Lifestyle politics” suggests that political and ideological opinions are strongly connected to our consumption choices, music and food taste, cultural preferences, and other aspects of our daily lives. With the growing political polariz
Externí odkaz:
https://doaj.org/article/1080d3665e8941b2aec38dd645486cd5
Autor:
Walter Daelemans, J. Peeters, Stefaan Walgrave, Tim Kreutz, Peter Van Aelst, Stiene Praet, David Martens
Publikováno v:
Computational communication research
Party competition in Western Europe is increasingly focused on “issue competition”, which is the selective emphasis on issues by parties. The aim of this paper is to contribute methodologically to the increasing number of studies that deal with d
Publikováno v:
EPJ Data Science, Vol 10, Iss 1, Pp 1-25 (2021)
EPJ data science
EPJ data science
“Lifestyle politics” suggests that political and ideological opinions are strongly connected to our consumption choices, music and food taste, cultural preferences, and other aspects of our daily lives. With the growing political polarization thi
Publikováno v:
Online Social Networks and Media. :100246
Autor:
Stiene Praet
Publikováno v:
Radices. 2
Increasing levels of political animosity worldwide invite speculation about whether polarization extends to all aspects of our daily life. However, empirical study about the relationship between political ideologies and lifestyle choices is limited b
Publikováno v:
Political communication
Increasing levels of political animosity in the United States invite speculation about whether polarization extends to aspects of daily life. However, empirical study about the relationship between political ideologies and lifestyle choices is limite
Publikováno v:
Machine learning
Many real-world large datasets correspond to bipartite graph data settings—think for example of users rating movies or people visiting locations. Although there has been some prior work on data analysis with such bigraphs, no general network-orient
Publikováno v:
Machine learning
Machine learning models built on behavioral and textual data can result in highly accurate prediction models, but are often very difficult to interpret. Linear models require investigating thousands of coefficients, while the opaqueness of nonlinear
Autor:
Stiene Praet, David Martens
Publikováno v:
Decision sciences
An important aspect of the growing e‐commerce sector involves the delivery of tangible goods to the end customer, the so‐called last mile. This final stage of the logistics chain remains highly inefficient due to the problem of failed deliveries.
Publikováno v:
Party politics
Studies have shown that parties selectively emphasize different issues to compete with each other to raise the salience for their preferred issues and to appear competent in handling them. This study applies the selective emphasis framework to indivi