Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Marijn Ten Thij"'
Publikováno v:
Internet Policy Review, Vol Volume 13, Iss Issue 3 (2024)
In response to Russia’s full-scale invasion of Ukraine in February 2022, the European Union banned or geo-blocked Russian propaganda media fearing the effects of the Kremlin’s information warfare on internal public opinion during the largest secu
Externí odkaz:
https://doaj.org/article/994449c6750a47208f6818fa03487eae
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0272107 (2024)
ObjectiveNegative affect variability is associated with increased symptoms of internalizing psychopathology (i.e., depression, anxiety). The Contrast Avoidance Model (CAM) suggests that individuals with anxiety avoid negative emotional shifts by main
Externí odkaz:
https://doaj.org/article/32cbec5653dd482d8984c87436d1a35a
Autor:
Danny Valdez, Kristen N. Jozkowski, Katherine Haus, Marijn ten Thij, Brandon L. Crawford, María S. Montenegro, Wen-Juo Lo, Ronna C. Turner, Johan Bollen
Publikováno v:
Pilot and Feasibility Studies, Vol 8, Iss 1, Pp 1-14 (2022)
Abstract Introduction Although much work has been done on US abortion ideology, less is known relative to the psychological processes that distinguish personal abortion beliefs or how those beliefs are communicated to others. As part of a forthcoming
Externí odkaz:
https://doaj.org/article/685f147599dd46218bf13de680a1849c
Quantifying societal emotional resilience to natural disasters from geo-located social media content
Publikováno v:
PLoS ONE, Vol 17, Iss 6 (2022)
Natural disasters can have devastating and long-lasting effects on a community’s emotional well-being. These effects may be distributed unequally, affecting some communities more profoundly and possibly over longer time periods than others. Here, w
Externí odkaz:
https://doaj.org/article/e0b3b44811d34c9cb12338ed255d6e6c
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 2, p 025003 (2023)
Expressing identity socially involves a balance between conformity and innovation. One can adopt existing labels to express belonging to a certain community or introduce new labels to express an individual sense of identity. In such a process of co-c
Externí odkaz:
https://doaj.org/article/cfa0ce41e3244168b8e835cbd7cb4a26
Publikováno v:
Algorithms, Vol 15, Iss 8, p 273 (2022)
Federated learning (FL) is a privacy-preserving distributed learning approach that allows multiple parties to jointly build machine learning models without disclosing sensitive data. Although FL has solved the problem of collaboration without comprom
Externí odkaz:
https://doaj.org/article/a2855a6aef384c618feb710dacf161e5
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0254114 (2021)
BackgroundThe COVID-19 pandemic led to mental health fallout in the US; yet research about mental health and COVID-19 primarily rely on samples that may overlook variance in regional mental health. Indeed, between-city comparisons of mental health de
Externí odkaz:
https://doaj.org/article/65d8b05992ec48bb9f9e47114568e95a
Publikováno v:
Behavior Research Methods, 55, 176-184. Psychonomic Society Inc.
Individuals can hold contrasting views about distinct times: for example, dread over tomorrow’s appointment and excitement about next summer’s vacation. Yet, psychological measures of optimism often assess only one time point or ask participants
Autor:
Lukas Santing, Ryan Jean-Luc Sijstermans, Giacomo Anerdi, Pedro Jeuris, Marijn ten Thij, Riza Batista-Navarro
Publikováno v:
Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), 100-110
STARTPAGE=100;ENDPAGE=110;TITLE=Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
Maastricht University
STARTPAGE=100;ENDPAGE=110;TITLE=Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
Maastricht University
Idiomatic expressions (or idioms) are phrases where the meaning of the phrase cannot be determined from the meaning of the individual words in the expression. Translating idioms between languages is therefore a challenging task. Transformer models ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1f8e1f04909a1002c8026a5c46732d5b
https://cris.maastrichtuniversity.nl/en/publications/5224147d-e5e7-43d5-ad6f-832ff024fa98
https://cris.maastrichtuniversity.nl/en/publications/5224147d-e5e7-43d5-ad6f-832ff024fa98
Publikováno v:
Algorithms; Volume 15; Issue 8; Pages: 273
Algorithms, 15(8):273. MDPI AG
Algorithms, 15(8):273. MDPI AG
Federated learning (FL) is a privacy-preserving distributed learning approach that allows multiple parties to jointly build machine learning models without disclosing sensitive data. Although FL has solved the problem of collaboration without comprom