Andreas Brandsæter
Publikasjoner
2023
-
Madsen, Andreas Solnørdal;
Aarset, Magne Vollan;
Brandsæter, Andreas.
(2023)
Decision Transparency for enhanced human-machine collaboration for autonomous ships.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2022
-
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
-
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)
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;
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
-
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
-
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
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
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)
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
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
-
Brandsæter, Andreas;
Vanem, Erik.
(2018)
Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions.
Ocean Engineering
Vitenskapelig artikkel
Del av bok/rapport
-
Madsen, Andreas Solnørdal;
Aarset, Magne Vollan;
Brandsæter, Andreas.
(2023)
Decision Transparency for enhanced human-machine collaboration for autonomous ships.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
-
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
-
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
-
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;
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;
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
-
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
-
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
Rapport
-
Brandsæter, Andreas.
(2020)
Data-driven methods for multiple sensor streams, with applications in the maritime industry.
Universitetet i Oslo
Universitetet i Oslo
Doktorgradsavhandling
-
Brandsæter, Andreas.
(2011)
Optimale randbetingelser for det diskrete Laplace-problemet.
Universitetet i Oslo
Universitetet i Oslo
Mastergradsoppgave
Formidling
2023
-
PosterBrandsæter, Andreas. (2023) Shapley values for cluster importance: How clusters of the training data affect a prediction . SINTEF Geilo Winter Schools in eScience: Computational Statistics , Geilo, Norway 2023-01-22 - 2023-01-27
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PosterBrandsæter, Andreas. (2023) Programming for Developing Mathematics Competencies. SINTEF Geilo Winter Schools in eScience: , Geilo, Norway 2023-01-22 - 2023-01-27
2022
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Vitenskapelig foredragBerge, Runar Lie; Sæterås, Bjørnar; Brandsæter, Andreas. (2022) Integrated Programming and Mathematics in Schools - A Solid Foundation for a Future Engineering Education?. Universitat Politècnica de Catalunya · BarcelonaTech (UPC) SEFI Anual Conference , Barcelona 2022-09-19 - 2022-09-22
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Vitenskapelig foredragVagale, 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
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Faglig foredragBrandsæter, Andreas. (2021) Testing and Assessing Autonomous Ship Navigation using Bridge Simulators. NTNU SFI AutoShip WP3: Vision workshop 2, AI decision support (IIR) , Ålesund 2021-04-23 - 2021-04-23
2019
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Vitenskapelig foredragBrandsæter, Andreas. (2019) Data-driven models for autonomous navigation: Challenges and suggestions. SINTEF International Conference on Maritime Autonomous Surface Ships (ICMASS) , Trondheim 2019-11-13 - 2019-11-14
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Vitenskapelig foredragVanem, Erik; Brandsæter, Andreas. (2019) Statistical approaches to Anomaly Detection based on Real-Time Sensor Measurements. Hawassa University The Hawssa Math and Stat international conference 2009 , Hawassa 2019-02-11 - 2019-02-15
2017
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Vitenskapelig foredragTveten, Martin; Brandsæter, Andreas; Glad, Ingrid Kristine. (2017) Anomaly detection in maritime data streams. European Network for Business and Industrial Statistics ENBI European Network for Business and Industrial Statistics ENBIS 2017 , University of Naples Umberto II 2017-09-12 -