Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Laura Hofstee"'
Publikováno v:
Systematic Reviews, Vol 13, Iss 1, Pp 1-8 (2024)
Abstract Software that employs screening prioritization through active learning (AL) has accelerated the screening process significantly by ranking an unordered set of records by their predicted relevance. However, failing to find a relevant paper mi
Externí odkaz:
https://doaj.org/article/d6de3fc8fc114c67a54928d81d327387
Autor:
Sergei Romanov, Abel Soares Siqueira, Jonathan de Bruin, Jelle Teijema, Laura Hofstee, Rens van de Schoot
Publikováno v:
Data Intelligence, Vol 6, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/5fcd35be3edb4a9ba96411742752c96d
Autor:
Jelle Jasper Teijema, Laura Hofstee, Marlies Brouwer, Jonathan de Bruin, Gerbrich Ferdinands, Jan de Boer, Pablo Vizan, Sofie van den Brand, Claudi Bockting, Rens van de Schoot, Ayoub Bagheri
Publikováno v:
Frontiers in Research Metrics and Analytics, Vol 8 (2023)
IntroductionThis study examines the performance of active learning-aided systematic reviews using a deep learning-based model compared to traditional machine learning approaches, and explores the potential benefits of model-switching strategies.Metho
Externí odkaz:
https://doaj.org/article/23dc86b3683743ce9a2e4b2ab116f727
Autor:
Marlies Brouwer, Laura Hofstee, Sofie Arsenia Gabriëlla Eleonora van den Brand, Jelle Teijema, Gerbrich Ferdinands, Jan de Boer, Felix Weijdema, Bianca Kramer, Reinout Wiers, Claudi Bockting, Jonathan de Bruin, Rens van de Schoot
It is of utmost importance to provide an overview and strength of evidence of predictive factors and to investigate the current state of affairs on evidence for all published and hypothesized factors that contribute to the onset, relapse, and mainten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b29c09b67e80125302c1961b859773ca
https://doi.org/10.31234/osf.io/j6nqz
https://doi.org/10.31234/osf.io/j6nqz
Autor:
Jelle Teijema, Laura Hofstee, Marlies Brouwer, Jonathan de Bruin, Gerbrich Ferdinands, Jan de Boer, Pablo Vizan Siso, Sofie Arsenia Gabriëlla Eleonora van den Brand, Claudi Bockting, Rens van de Schoot, Ayoub Bagheri
IntroductionThis study examines the performance of active learning-aided systematic reviews using a deep learning-based model compared to traditional machine learning approaches, and explores the potential benefits of model-switching strategies.Metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6fee2bdea66f70df655fc919de5c8aa
https://doi.org/10.31234/osf.io/t7bpd
https://doi.org/10.31234/osf.io/t7bpd