| Ship speed prediction based on full scale sensor measurements of shaft thrust and environmental conditions A Brandsæter, E Vanem Ocean Engineering 162, 316-330, 2018 | 43 | 2018 |
| Alternative fuels for shipping C Chryssakis, O Balland, HA Tvete, A Brandsæter DNV GL Strategic Research & Innovation, Position Paper 1, 2014 | 40 | 2014 |
| Unsupervised anomaly detection based on clustering methods and sensor data on a marine diesel engine E Vanem, A Brandsæter Journal of Marine Engineering & Technology 20 (4), 217-234, 2021 | 38 | 2021 |
| Efficient on-line anomaly detection for ship systems in operation A Brandsæter, E Vanem, IK Glad Expert Systems with Applications 121, 418-437, 2019 | 32 | 2019 |
| An application of sensor-based anomaly detection in the maritime industry A Brandsæter, G Manno, E Vanem, IK Glad 2016 ieee international conference on prognostics and health management …, 2016 | 26 | 2016 |
| Towards a framework for assurance of autonomous navigation systems in the maritime industry A Brandsæter, KE Knutsen Safety and Reliability–Safe Societies in a Changing World, 449-457, 2018 | 19 | 2018 |
| Cluster based anomaly detection with applications in the maritime industry A Brandsæter, E Vanem, IK Glad 2017 International Conference on Sensing, Diagnostics, Prognostics, and …, 2017 | 13 | 2017 |
| Assessing autonomous ship navigation using bridge simulators enhanced by cycle-consistent adversarial networks A Brandsæter, OL Osen Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2023 | 9 | 2023 |
| On the use of maritime training simulators with humans in the loop for understanding and evaluating algorithms for autonomous vessels A Vagale, OL Osen, A Brandsæter, M Tannum, C Hovden, RT Bye Journal of Physics: Conference Series 2311 (1), 012026, 2022 | 9 | 2022 |
| DNV GL strategic research & innovation position paper 1-2014, Alternative Fuels for Shipping C Chryssakis, O Balland, HA Tvete, A Brandsæter DNV-GL., 2014 | 8 | 2014 |
| Shapley values for cluster importance: How clusters of the training data affect a prediction A Brandsæter, IK Glad Data Mining and Knowledge Discovery, 1-32, 2022 | 7 | 2022 |
| Cluster-based anomaly detection in condition monitoring of a marine engine system E Vanem, A Brandsæter 2018 Prognostics and System Health Management Conference (PHM-Chongqing), 20-31, 2018 | 7 | 2018 |
| Explainable artificial intelligence: How subsets of the training data affect a prediction A Brandsætera, IK Gladb stat 1050, 7, 2020 | 4 | 2020 |
| Regression models for the effect of environmental conditions on the efficiency of ship machinery systems E Vanem, A Brandsæter, O Gramstad Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of …, 2016 | 4 | 2016 |
| Assuring Safe Implementation of Decision Support Functionality based on Data-driven Methods for Ship Navigation A Brandsæter, G Smefjell, K van de Merwe, V Kamsvåg Proceedings of the 30th European Safety and Reliability Conference and the …, 2020 | 3 | 2020 |
| Decision Transparency for enhanced human-machine collaboration for autonomous ships AS Madsen, A Brandsæter, MV Aarset Human Factors in Robots, Drones and Unmanned Systems, 2023 | 1 | 2023 |
| Programming in Mathematics Education: An Intermediary between the Real-World and the Mathematical Model A Brandsæter Bibsys Open Journal Systems, 2021 | 1 | 2021 |
| Decision Transparency for enhanced human-machine collaboration for autonomous ships M Madsen, A., Brandsæter, A., Aarset Tareq Ahram and Waldemar Karwowski (eds) Human Factors in Robots, Drones and …, 2023 | | 2023 |
| Integrated programming and mathematics in schools-A solid fundation for a future engineering education? RL Berge, B Sæterås, A Brandsæter Towards a new future in engineering education, new scenarios that European …, 2022 | | 2022 |
| Data-driven methods for multiple sensor streams, with applications in the maritime industry A Brandsæter | | 2020 |
