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dc.contributor.advisorGundersen, Odd Erik
dc.contributor.authorNilsen, Nicklas Grimstad
dc.date.accessioned2018-11-08T15:00:34Z
dc.date.available2018-11-08T15:00:34Z
dc.date.created2018-06-12
dc.date.issued2018
dc.identifierntnudaim:18069
dc.identifier.urihttp://hdl.handle.net/11250/2571694
dc.description.abstractIn recent years, increasing attention has been given to an apparent issue within the scientific fields where the reproducibility of scientific results is questioned. This trend is commonly termed a crisis of reproducibility, or a reproducibility crisis. While medicine is a central scientific field here, it spans most other fields as well, including the computational sciences. This thesis investigates the reproducibility of recent and central scientific publications within artifical intelligence, through a selection of the most cited papers the past few years. The reproducibility is investigated by attempting to reproduce the presented results, based on the description of the method presented in the paper.
dc.languageeng
dc.publisherNTNU
dc.subjectInformatikk, Kunstig intelligens
dc.titleResearch method in AI: Reproducibility of results
dc.typeMaster thesis


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