Cristin

2024
1.	Brandsæter, Andreas. Hvordan svarer ChatGPT om kontroversielle temaer?. Utdanningsnytt.no 2024 HVO Untitled

2.	Brandsæter, Andreas. Programming for Developing Mathematical Competencies: Can we also teach subject matter?. PRIS-konferansen 2024; 2024-03-20 - 2024-03-21 HVO Untitled

3.	Brandsæter, Andreas. XAI - The importance of training data. Geilo Winter Schools in eScience: Graphs and Applications; 2024-01-21 - 2024-01-26 HVO Untitled
2023
4.	Brandsæter, Andreas. Er programmeringens plass i skolematematikken fortjent?. Sunnmørsposten 2023 HVO NTNU Untitled

5.	Brandsæter, Andreas. Programming for Developing Mathematics Competencies. Geilo Winter Schools in eScience:; 2023-01-22 - 2023-01-27 NTNU HVO Untitled

6.	Brandsæter, Andreas. Shapley values for cluster importance: How clusters of the training data affect a prediction. Geilo Winter Schools in eScience: Computational Statistics; 2023-01-22 - 2023-01-27 HVO NTNU Untitled

7.	Brandsæter, Andreas. Vi trenger mer kompetanse om KI. Men hva skal vi lære?. www.digi.no 2023 HVO Untitled

8.	Madsen, Andreas Solnørdal; Brandsæter, Andreas; Aarset, Magne Vollan. Decision Transparency for enhanced human-machine collaboration for autonomous ships. I: Human Factors in Robots, Drones and Unmanned Systems. : AHFE Open Access 2023 ISBN 978-1-958651-69-8. s. 76-84 NTNU HVO Untitled
2022
9.	Berge, Runar Lie; Sæterås, Bjørnar; Brandsæter, Andreas. Integrated Programming and Mathematics in Schools - A Solid Foundation for a Future Engineering Education?. SEFI Anual Conference; 2022-09-19 - 2022-09-22 NTNU HVO Untitled

10.	Berge, Runar Lie; Sæterås, Bjørnar; Brandsæter, Andreas. Integrated Programming and Mathematics in Schools - A Solid Foundation for a Future Engineering Education?. I: Towards a new future in engineering education, new scenarios that European alliances of tech universities open up. Société européenne pour la formation des ingénieurs (SEFI) 2022 ISBN 978-84-123222-6-2. s. 970-978 HVO Untitled

11.	Brandsæter, Andreas; Glad, Ingrid Kristine. Shapley values for cluster importance: How clusters of the training data affect a prediction. Data mining and knowledge discovery 2022 s. - HVO UiO Untitled

12.	Vagale, Anete; Osen, Ottar; Brandsæter, Andreas; Tannum, Marius Stian; Hovden, Christian; Bye, Robin Trulssen. 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; 2022-04-06 - 2022-04-07 UiT USN NTNU Untitled

13.	Vagale, Anete; Osen, Ottar; Brandsæter, Andreas; Tannum, Marius Stian; Hovden, Christian; Bye, Robin Trulssen. 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) 2022 ;Volum 2311.(1) s. - NTNU USN Untitled
2021
14.	Brandsæter, Andreas. Programming in Mathematics Education: An Intermediary between the Real-World and the Mathematical Model. NIKT: Norsk IKT-konferanse for forskning og utdanning 2021 HVO NTNU Untitled

15.	Brandsæter, Andreas. Testing and Assessing Autonomous Ship Navigation using Bridge Simulators. SFI AutoShip WP3: Vision workshop 2, AI decision support (IIR); 2021-04-23 - 2021-04-23 HVO Untitled

16.	Brandsæter, Andreas; Osen, Ottar. 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 2021 HVO NTNU Untitled
2020
17.	Brandsæter, Andreas. Data-driven methods for multiple sensor streams, with applications in the maritime industry. Universitetet i Oslo 2020 120 s. HVO Untitled

18.	Brandsæter, Andreas; Smefjell, Georg; van de Merwe, Koen; Kamsvåg, Vegard. Assuring Safe Implementation of Decision Support Functionality based on Data-driven Methods for Ship Navigation. I: e-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15). Research Publishing Services 2020 ISBN 9789811485930. HVO Untitled
2019
19.	Brandsæter, Andreas. Data-driven models for autonomous navigation: Challenges and suggestions. International Conference on Maritime Autonomous Surface Ships (ICMASS); 2019-11-13 - 2019-11-14 HVO Untitled

20.	Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. Efficient on-line anomaly detection for ship systems in operation. Expert Systems With Applications 2019 ;Volum 121. s. 418-437 UiO Untitled

21.	Vanem, Erik; Brandsæter, Andreas. Statistical approaches to Anomaly Detection based on Real-Time Sensor Measurements. The Hawssa Math and Stat international conference 2009; 2019-02-11 - 2019-02-15 UiO Untitled

22.	Vanem, Erik; Brandsæter, Andreas. Unsupervised anomaly detection based on clustering methods and sensor data on a marine diesel engine. Journal of Marine Engineering & Technology 2019 ;Volum 20.(4) s. 217-234 UiO Untitled
2018
23.	Brandsæter, Andreas; Knutsen, Knut Erik. Towards a framework for assurance of autonomous navigation systems in the maritime industry. I: Safety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway. CRC Press 2018 ISBN 9781351174657. s. 449-457 UiO Untitled

24.	Brandsæter, Andreas; Vanem, Erik. Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions. Ocean Engineering 2018 ;Volum 162. s. 316-330 UiO Untitled

25.	Vanem, Erik; Brandsæter, Andreas. Cluster-based anomaly detection in condition monitoring of a marine engine system. I: Proceedings of the 2018 Prognostics and System Health Management Conference (PHM-Chongqing 2018). IEEE (Institute of Electrical and Electronics Engineers) 2018 ISBN 978-1-5386-5380-7. s. 20-31 UiO Untitled
2017
26.	Brandsæter, Andreas; Vanem, Erik; Glad, Ingrid Kristine. Cluster Based Anomaly Detection with Applications in the Maritime Industry. I: Proceedings of the 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control SDPC 2017. IEEE (Institute of Electrical and Electronics Engineers) 2017 ISBN 978-1-5090-4020-9. s. 328-333 UiO Untitled

27.	Tveten, Martin; Brandsæter, Andreas; Glad, Ingrid Kristine. Anomaly detection in maritime data streams. European Network for Business and Industrial Statistics ENBIS 2017; 2017-09-12 UiO Untitled

28.	Vanem, Erik; Brandsæter, Andreas; Gramstad, Odin. Regression models for the effect of environmental conditions on the efficiency of ship machinery systems. I: Risk, Reliability and Safety: Innovating Theory and Practice : Proceedings of ESREL 2016 (Glasgow, Scotland, 25-29 September 2016). CRC Press 2017 ISBN 9781138029972. UiO Untitled
2016
29.	Brandsæter, Andreas; Manno, Gabriele; Vanem, Erik; Glad, Ingrid Kristine. An Application of Sensor-Based Anomaly Detection in the Maritime Industry. I: 2016 IEEE International Conference on Prognostics and Health Management (ICPHM 2016). Curran Associates, Inc. 2016 ISBN 9781509003839. UiO Untitled
2014
30.	Georgopoulou, Chara A.; Kakalis, Nikolaos M.P.; Brandsæter, Andreas; Chryssakis, Christos; Eide, Magnus Strandmyr. Environmental impact and cost-effectiveness of CO2 reduction measures in multimodal trade routes: road and shipping. I: Transport Research Arena (TRA) 2014 Proceedings. : TRA 2014 ISBN 0-000-00001-9. HVO Untitled
2011
31.	Brandsæter, Andreas. Optimale randbetingelser for det diskrete Laplace-problemet. Universitetet i Oslo 2011 119 s. HVO Untitled