2024

• Brandsæter, Andreas. (2024) Hvordan svarer ChatGPT om kontroversielle temaer?. Utdanningsnytt.no
  Kronikk
• Brandsæter, Andreas. (2024) Å bygge tillit i KI-samfunnet. Sunnmørsposten
  Kronikk
• Brandsæter, Andreas; Madsen, Andreas Nygard. (2024) A simulator-based approach for testing and assessing human supervised autonomous ship navigation. Journal of Marine Science and Technology
  Vitenskapelig artikkel
• Wu, Baiheng; Hatledal, Lars Ivar; Madsen, Andreas Nygard; Wang, Tongtong; Brandsæter, Andreas; Osen, Ottar Laurits. (2024) Data Interface for an Interactable Ship Bridge towards Maritime Autonomous Surface Ships at Human-in-the-loop Levels. IEEE conference proceedings
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Berge, Runar Lie; Berget, Ingeborg Katrin Lid; Brandsæter, Andreas; Humberset, Beate Krøvel. (2024) Teacher actions to promote mathematical competencies in programming activities.
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2023

• Brandsæter, Andreas. (2023) Er programmeringens plass i skolematematikken fortjent?. Sunnmørsposten
  Kronikk
• Madsen, Andreas Solnørdal; Brandsæter, Andreas; Aarset, Magne Vollan. (2023) Decision Transparency for enhanced human-machine collaboration for autonomous ships.
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Brandsæter, Andreas. (2023) Vi trenger mer kompetanse om KI. Men hva skal vi lære?. www.digi.no
  Kronikk

2022

• Brandsæter, Andreas; Glad, Ingrid Kristine. (2022) Shapley values for cluster importance: How clusters of the training data affect a prediction. Data mining and knowledge discovery
  Vitenskapelig artikkel
• Berge, Runar Lie; Sæterås, Bjørnar; Brandsæter, Andreas. (2022) Integrated Programming and Mathematics in Schools - A Solid Foundation for a Future Engineering Education?. Société européenne pour la formation des ingénieurs (SEFI)
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Vagale, Anete; Osen, Ottar; Brandsæter, Andreas; Tannum, Marius Stian; Hovden, Christian; Bye, Robin Trulssen. (2022) On the use of maritime training simulators with humans in the loop for understanding and evaluating algorithms for autonomous vessels. Journal of Physics: Conference Series (JPCS)
  Vitenskapelig artikkel

2021

• Brandsæter, Andreas; Osen, Ottar. (2021) Assessing autonomous ship navigation using bridge simulators enhanced by cycle-consistent adversarial networks. Proceedings of the Institution of Mechanical Engineers. Part O, Journal of risk and reliability
  Vitenskapelig artikkel
• Brandsæter, Andreas. (2021) Programming in Mathematics Education: An Intermediary between the Real-World and the Mathematical Model. NIKT: Norsk IKT-konferanse for forskning og utdanning
  Vitenskapelig artikkel

2020

• Brandsæter, Andreas; Smefjell, Georg; van de Merwe, Koen; Kamsvåg, Vegard. (2020) Assuring Safe Implementation of Decision Support Functionality based on Data-driven Methods for Ship Navigation. Research Publishing Services
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Brandsæter, Andreas. (2020) Data-driven methods for multiple sensor streams, with applications in the maritime industry. Universitetet i Oslo Universitetet i Oslo
  Doktorgradsavhandling

2019

• Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. (2019) Efficient on-line anomaly detection for ship systems in operation. Expert Systems With Applications
  Vitenskapelig artikkel
• Vanem, Erik; Brandsæter, Andreas. (2019) Unsupervised anomaly detection based on clustering methods and sensor data on a marine diesel engine. Journal of Marine Engineering & Technology
  Vitenskapelig artikkel

2018

• Brandsæter, Andreas; Knutsen, Knut Erik. (2018) Towards a framework for assurance of autonomous navigation systems in the maritime industry. CRC Press
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Vanem, Erik; Brandsæter, Andreas. (2018) Cluster-based anomaly detection in condition monitoring of a marine engine system. IEEE (Institute of Electrical and Electronics Engineers)
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Brandsæter, Andreas; Vanem, Erik. (2018) Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions. Ocean Engineering
  Vitenskapelig artikkel

2017

• Vanem, Erik; Brandsæter, Andreas; Gramstad, Odin. (2017) Regression models for the effect of environmental conditions on the efficiency of ship machinery systems. CRC Press
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. (2017) Cluster Based Anomaly Detection with Applications in the Maritime Industry. IEEE (Institute of Electrical and Electronics Engineers)
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2016

• Brandsæter, Andreas; Manno, Gabriele; Vanem, Erik; Glad, Ingrid Kristine. (2016) An Application of Sensor-Based Anomaly Detection in the Maritime Industry. Curran Associates, Inc.
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2014

• Georgopoulou, Chara A.; Kakalis, Nikolaos M.P.; Brandsæter, Andreas; Chryssakis, Christos; Eide, Magnus Strandmyr. (2014) Environmental impact and cost-effectiveness of CO2 reduction measures in multimodal trade routes: road and shipping.
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2011

• Brandsæter, Andreas. (2011) Optimale randbetingelser for det diskrete Laplace-problemet. Universitetet i Oslo Universitetet i Oslo
  Mastergradsoppgave