2 documents found, page 1 of 1
Unravelling data for rapid evidence-based response to COVID-19: a summary of th...
Peñalvo, José L.; Mertens, Elly; Ademović, Enisa; Akgun, Seval; Baltazar, Ana Lúcia; Buonfrate, Dora; Čoklo, Miran; Devleesschauwer, BrechtIntroduction unCoVer - Unravelling data for rapid evidence-based response to COVID-19 - is a Horizon 2020-funded network of 29 partners from 18 countries capable of collecting and using real-world data (RWD) derived from the response and provision of care to patients with COVID-19 by health systems across Europe and elsewhere. unCoVer aims to exploit the full potential of this information to rapidly address cli...
Large expert-curated database for benchmarking document similarity detection in...
Brown, Peter; Tan, Aik-Choon; El-Esawi, Mohamed A.; Liehr, Thomas; Blanck, Oliver; Gladue, Douglas P.; Almeida, Gabriel M. F.; Cernava, TomislavMade available in DSpace on 2020-12-11T01:57:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-10-29; Griffith University Gowonda HPC Cluster; Queensland Cyber Infrastructure Foundation; Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents tha...