Browsing BraVo by Author "Brandsæter, Andreas"
Now showing items 1-6 of 6
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Assessing autonomous ship navigation using bridge simulators enhanced by cycle-consistent adversarial networks
Brandsæter, Andreas; Osen, Ottar (Peer reviewed; Journal article, 2021)The advent of artificial intelligence and deep learning has provided sophisticated functionality for sensor fusion and object detection and classification which have accelerated the development of highly automated and ... -
Assuring Safe Implementation of Decision Support Functionality based on Data-driven Methods for Ship Navigation
Brandsæter, Andreas; Smefjell, Georg; van de Merwe, Koen; Kamsvåg, Vegard (Chapter, 2020)The rapid technology development related to machine learning and data-driven models for autonomous and unmanned vessels continues. Also manned vessels can make use of this technology, for example to enhance situational ... -
Decision Transparency for enhanced human-machine collaboration for autonomous ships
Madsen, Andreas Solnørdal; Brandsæter, Andreas; Aarset, Magne Vollan (Chapter, 2023)Maritime Autonomous Surface Ships (MASS) are quickly emerging as a gamechanging technology in various parts of the world. They can be used for a wide range of applications, including cargo transportation, oceanographic ... -
Integrated Programming and Mathematics in Schools - A Solid Foundation for a Future Engineering Education?
Berge, Runar Lie; Sæterås, Bjørnar; Brandsæter, Andreas (Chapter, 2022)The interest in programming in schools has the last decade increased, and many countries have introduced programming as part of the school curriculum. Teaching of programming to students in primary and secondary school is ... -
Programming in Mathematics Education: An Intermediary between the Real-World and the Mathematical Model
Brandsæter, Andreas (Peer reviewed; Journal article, 2021)In realistic mathematics education students expand their common sense through guided reinvention, aiming to prevent the dichotomy between what the students experience as real and the associated mathematical model. The ... -
Shapley values for cluster importance: How clusters of the training data affect a prediction
Brandsæter, Andreas; Glad, Ingrid Kristine (Peer reviewed; Journal article, 2022)This paper proposes a novel approach to explain the predictions made by data-driven methods. Since such predictions rely heavily on the data used for training, explanations that convey information about how the training ...