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English

Andreas Brandsæter

Andreas Brandsæter

Førsteamanuensis II
Institutt for IKT og realfag

andreas.brandsater@ntnu.no
Ålesund
Publikasjoner Formidling

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Se alle publikasjoner i Cristin

2022

  • Berge, Runar Lie; Sæterås, Bjørnar; Brandsæter, Andreas. (2022) Integrated Programming and Mathematics in Schools - A Solid Foundation for a Future Engineering Education?. Towards a new future in engineering education, new scenarios that European alliances of tech universities open up.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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
  • 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). volum 2311 (1).
    Vitenskapelig artikkel

2021

  • 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
  • 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

2020

  • Brandsæter, Andreas. (2020) Data-driven methods for multiple sensor streams, with applications in the maritime industry. Universitetet i Oslo. 2020.
    Doktorgradsavhandling
  • 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. e-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2019

  • Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. (2019) Efficient on-line anomaly detection for ship systems in operation. Expert Systems With Applications. volum 121.
    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. volum 20 (4).
    Vitenskapelig artikkel

2018

  • Brandsæter, Andreas; Knutsen, Knut Erik. (2018) Towards a framework for assurance of autonomous navigation systems in the maritime industry. Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway.
    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. volum 162.
    Vitenskapelig artikkel
  • Vanem, Erik; Brandsæter, Andreas. (2018) Cluster-based anomaly detection in condition monitoring of a marine engine system. Proceedings of the 2018 Prognostics and System Health Management Conference (PHM-Chongqing 2018).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2017

  • Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. (2017) Cluster Based Anomaly Detection with Applications in the Maritime Industry. Proceedings of the 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control SDPC 2017.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vanem, Erik; Brandsæter, Andreas; Gramstad, Odin. (2017) Regression models for the effect of environmental conditions on the efficiency of ship machinery systems. Risk, Reliability and Safety: Innovating Theory and Practice : Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016).
    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. 2016 IEEE International Conference on Prognostics and Health Management (ICPHM 2016).
    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. Transport Research Arena (TRA) 2014 Proceedings.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2011

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

Tidsskriftspublikasjoner

  • 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
  • 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). volum 2311 (1).
    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
  • 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; Vanem, Erik; Glad, Ingrid Kristine. (2019) Efficient on-line anomaly detection for ship systems in operation. Expert Systems With Applications. volum 121.
    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. volum 20 (4).
    Vitenskapelig artikkel
  • Brandsæter, Andreas; Vanem, Erik. (2018) Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions. Ocean Engineering. volum 162.
    Vitenskapelig artikkel

Del av bok/rapport

  • Berge, Runar Lie; Sæterås, Bjørnar; Brandsæter, Andreas. (2022) Integrated Programming and Mathematics in Schools - A Solid Foundation for a Future Engineering Education?. Towards a new future in engineering education, new scenarios that European alliances of tech universities open up.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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. e-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Brandsæter, Andreas; Knutsen, Knut Erik. (2018) Towards a framework for assurance of autonomous navigation systems in the maritime industry. Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vanem, Erik; Brandsæter, Andreas. (2018) Cluster-based anomaly detection in condition monitoring of a marine engine system. Proceedings of the 2018 Prognostics and System Health Management Conference (PHM-Chongqing 2018).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. (2017) Cluster Based Anomaly Detection with Applications in the Maritime Industry. Proceedings of the 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control SDPC 2017.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Vanem, Erik; Brandsæter, Andreas; Gramstad, Odin. (2017) Regression models for the effect of environmental conditions on the efficiency of ship machinery systems. Risk, Reliability and Safety: Innovating Theory and Practice : Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Brandsæter, Andreas; Manno, Gabriele; Vanem, Erik; Glad, Ingrid Kristine. (2016) An Application of Sensor-Based Anomaly Detection in the Maritime Industry. 2016 IEEE International Conference on Prognostics and Health Management (ICPHM 2016).
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • 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. Transport Research Arena (TRA) 2014 Proceedings.
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Rapport

  • Brandsæter, Andreas. (2020) Data-driven methods for multiple sensor streams, with applications in the maritime industry. Universitetet i Oslo. 2020.
    Doktorgradsavhandling
  • Brandsæter, Andreas. (2011) Optimale randbetingelser for det diskrete Laplace-problemet. Universitetet i Oslo. 2011.
    Mastergradsoppgave

Formidling

2023

  • Poster
    Brandsæter, Andreas. (2023) Programming for Developing Mathematics Competencies. Geilo Winter Schools in eScience: . SINTEF; Geilo, Norway. 2023-01-22 - 2023-01-27.
  • Poster
    Brandsæter, Andreas. (2023) Shapley values for cluster importance: How clusters of the training data affect a prediction. Geilo Winter Schools in eScience: Computational Statistics . SINTEF; Geilo, Norway. 2023-01-22 - 2023-01-27.

2022

  • Vitenskapelig foredrag
    Berge, Runar Lie; Sæterås, Bjørnar; Brandsæter, Andreas. (2022) Integrated Programming and Mathematics in Schools - A Solid Foundation for a Future Engineering Education?. SEFI Anual Conference . Universitat Politècnica de Catalunya · BarcelonaTech (UPC); Barcelona. 2022-09-19 - 2022-09-22.
  • Vitenskapelig foredrag
    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. The 4th International Conference on Maritime Autonomous Surface Ships (ICMASS) 2022 ; Singapore. 2022-04-06 - 2022-04-07.

2021

  • Faglig foredrag
    Brandsæter, Andreas. (2021) Testing and Assessing Autonomous Ship Navigation using Bridge Simulators. SFI AutoShip WP3: Vision workshop 2, AI decision support (IIR) . NTNU; Ålesund. 2021-04-23 - 2021-04-23.

2019

  • Vitenskapelig foredrag
    Brandsæter, Andreas. (2019) Data-driven models for autonomous navigation: Challenges and suggestions. International Conference on Maritime Autonomous Surface Ships (ICMASS) . SINTEF; Trondheim. 2019-11-13 - 2019-11-14.
  • Vitenskapelig foredrag
    Vanem, Erik; Brandsæter, Andreas. (2019) Statistical approaches to Anomaly Detection based on Real-Time Sensor Measurements. The Hawssa Math and Stat international conference 2009 . Hawassa University; Hawassa. 2019-02-11 - 2019-02-15.

2017

  • Vitenskapelig foredrag
    Tveten, Martin; Brandsæter, Andreas; Glad, Ingrid Kristine. (2017) Anomaly detection in maritime data streams. European Network for Business and Industrial Statistics ENBIS 2017 . European Network for Business and Industrial Statistics ENBI; University of Naples Umberto II. 2017-09-12.
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