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pro vyhledávání: '"Ahlgren, P"'
It is common for long financial time series to exhibit gradual change in the unconditional volatility. We propose a new model that captures this type of nonstationarity in a parsimonious way. The model augments the volatility equation of a standard G
Externí odkaz:
http://arxiv.org/abs/2410.03239
Publikováno v:
Quantitative Science Studies, Pp 1-16 (2020)
The effects of enhancing direct citations, with respect to publication–publication relatedness measurement, by indirect citation relations (bibliographic coupling, cocitation, and extended direct citations) and text relations on clustering solution
Externí odkaz:
https://doaj.org/article/751d1caa4462446289d976f97707ec4c
Autor:
Sjögårde, Peter, Ahlgren, Per
Publikováno v:
Quantitative Science Studies, Vol 1, Iss 1, Pp 207-238 (2020)
In this work, we build on and use the outcome of an earlier study on topic identification in an algorithmically constructed publication-level classification (ACPLC), and address the issue of how to algorithmically obtain a classification of topics (c
Externí odkaz:
https://doaj.org/article/8904c2288ef542808bc69db0ec9990ef
Zero Involvement Pairing and Authentication (ZIPA) is a promising technique for autoprovisioning large networks of Internet-of-Things (IoT) devices. In this work, we present the first successful signal injection attack on a ZIPA system. Most existing
Externí odkaz:
http://arxiv.org/abs/2403.14018
Autor:
Sjögårde, Peter, Ahlgren, Per
In this contribution, we deal with seed-based information retrieval in networks of research publications. Using systematic reviews as a baseline, and publication data from the NIH Open Citation Collection, we compare the performance of the three cita
Externí odkaz:
http://arxiv.org/abs/2403.09295
Zero Involvement Pairing and Authentication (ZIPA) is a promising technique for auto-provisioning large networks of Internet-of-Things (IoT) devices. Presently, these networks use password-based authentication, which is difficult to scale to more tha
Externí odkaz:
http://arxiv.org/abs/2311.04433
Publikováno v:
12th International Conference on Computer and Knowledge Engineering (ICCKE) (2022) 196-204
What happens if we encounter a suitable font for our design work but do not know its name? Visual Font Recognition (VFR) systems are used to identify the font typeface in an image. These systems can assist graphic designers in identifying fonts used
Externí odkaz:
http://arxiv.org/abs/2310.05255
Publikováno v:
Journal of Patient-Reported Outcomes, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract Background Assessment of Rehabilitation Needs Checklist (ARNC), has been developed to assess rehabilitation need in cancer patients and is recommended by the Confederation of Regional Cancer Centres in Sweden, known as Hälsoskattningen. The
Externí odkaz:
https://doaj.org/article/842640d85f0547818318a6cdf72b073f
Autor:
Anneli Hippinen Ahlgren
Publikováno v:
Journal of Childhood, Education & Society, Vol 5, Iss 3, Pp 305-318 (2024)
Teachers’ knowledge about children is a part of teachers’ Pedagogical Content Knowledge (PCK). With this in mind, the purpose of this study is to generate knowledge about how children are presented in PCK research. This is carried out by examinin
Externí odkaz:
https://doaj.org/article/bddf3da5bef847bea0044ba9b8ca2033
Autor:
Sjögårde, Peter, Ahlgren, Per
Clustering of publication networks is an efficient way to obtain classifications of large collections of research publications. Such classifications can be used to, e.g., detect research topics, normalize citation relations, or explore the publicatio
Externí odkaz:
http://arxiv.org/abs/2309.14102