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Bjørn Magnus Mathisen

Research Scientist/PhD Fellow

Bjørn Magnus Mathisen

Research Scientist/PhD Fellow

Bjørn Magnus Mathisen
Phone: 414 74 423
Email:
Department: Software Engineering, Safety and Security
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=1779529

Rapporten beskriver en systematisk undersøkelse av mulige målrettede informasjonspåvirkningsforsøk fra utenlandske aktører på ulike digitale plattformer i forbindelse med det norske kommunestyre- og fylkestingsvalget 9. september 2019. Undersøkelsen er basert på kvantitativ og kvalitativ analyse av...

Publication
https://www.sintef.no/en/publications/publication/?pubid=1407564

Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time-demanding task though the same literature does not report in detail on how to build your initial case base. The main contribution of this paper is the description of the methods that we used in order...

Authors Leendert Wilhelmus Marinus Wienhofen Bjørn Magnus Mathisen
Year 2016
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1187740

Sensor-based monitoring of congestive heart-failure (CHF) patients living at home can improve quality of care, detect exacerbations of disease at an earlier stage and motivate the patient for better self care. This paper reports on a usability study of the ESUMS system that provides continuous measu...

Authors Ingrid Storruste Svagård Hanne Opsahl Austad Trine Margrethe Seeberg Jon Vedum Anders Erik Liverud Bjørn Magnus Mathisen Ole Christian Bendixen Barbara Keller Phyllis Osborne Frode Strisland
Year 2014
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/?pubid=1186645

This paper introduces The Linked Data AppStore (LD-AppStore) – a Software-as-a-Service platform prototype for data integration on the Web. Building upon emerging Linked Data technologies, the LD-AppStore targets data scientists/engineers (interested in simplifying tasks such as data cleaning, transf...

Authors Dumitru Roman Claudia Daniela Pop Roxana I. Roman Bjørn Magnus Mathisen Leendert Wilhelmus Marinus Wienhofen Brian Elvesæter Arne- Jørgen Berre
Year 2014
Type Academic chapter/article/Conference paper