Prof. Agnar Aamodt

Norwegian University of Science and Technology, Norway

Email: [email protected]

Qualifications

Ph.D., Norwegian University of Science and Technology, Norway

M.Sc., Norwegian University of Science and Technology, Norway

Publications (Selected)

1. Mathisen, B. M., Bach, K., & Aamodt, A. (2021). Using extended siamese networks to provide decision support in aquaculture operations. Applied Intelligence, 51(11), 8107–8118.
2. Nikpour, H., & Aamodt, A. (2021). Fault diagnosis under uncertain situations within a bayesian knowledge-intensive cbr system. Progress in Artificial Intelligence, 10(3), 245–258.
3. Nikpour, H., & Aamodt, A. (2021). Inference and reasoning in a Bayesian knowledge-intensive CBR system. Progress in Artificial Intelligence, 10(1), 49–63.
4. Skalle, P., & Aamodt, A. (2020). Petrol 18 946: Downhole failures revealed through ontology engineering. Journal of Petroleum Science and Engineering, 191, Article 107188.
5. Mathisen, B. M., Aamodt, A., Bach, K., et al. (2020). Learning similarity measures from data. Progress in Artificial Intelligence, 9(2), 129–143.
6. Mathisen, B. M., Aamodt, A., Bach, K., et al. (2020). Learning similarity measures from data. arXiv preprint arXiv:2001.05312.
7. Måløy, H., Aamodt, A., & Misimi, E. (2019). A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture. Computers and Electronics in Agriculture, 167, 105087.
8. Bach, K., Marling, C., Mork, P. J., et al. (2019). Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. Journal of Intelligent Information Systems, 52(2), 269–284.
9. Nikpour, H., Aamodt, A., & Bach, K. (2018). Bayesian-Supported Retrieval. Case-Based Reasoning Research and Development, 269–283.
10. Craw, S., & Aamodt, A. (2018). Case based reasoning as a model for cognitive artificial intelligence. International Conference on Case-Based Reasoning, 62–77.
11. Nikpour, H., Aamodt, A., & Bach, K. (2018). Bayesian-supported retrieval in BNCreek: a knowledge-intensive case-based reasoning system. International Conference on Case-Based Reasoning, 323–338.
12. Houeland, T. G., & Aamodt, A. (2018). A learning system based on lazy metareasoning. Progress in Artificial Intelligence, 7(2), 129–146.
13. Aamodt, A., & Plaza, E. (2017). Case-Based Reasoning and the Upswing of AI. Springer Nature.
14. Skjold, K., Øynes, M., Bach, K., et al. (2017). IntelliMeal-Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process. ICCBR (Workshops), 277–284.
15. Prestmo, T., Bach, K., Aamodt, A., et al. (2017). Evolutionary inspired adaptation of exercise plans for increasing solution variety. International Conference on Case-Based Reasoning, 272–286.
16. Mathisen, B. M., Aamodt, A., & Langseth, H. (2017). Data Driven Case Base Construction for Prediction of Success of Marine Operations. ICCBR (Workshops), 104–113.
17. Nikpour, H., Aamodt, A., & Bach, K. (2017). Bayesian analysis in a knowledge-intensive CBR system. 22nd UK Symposium on Case-Based Reasoning.
18. Skalle, P., Aamodt, A., & Swahn, I. (2016). Detection of failures and interpretation of causes during drilling operations. Abu Dhabi International Petroleum Exhibition and Conference, Article D031S074R003.
19. Bach, K., Szczepanski, T., Aamodt, A., et al. (2016). Case Representation and Similarity Assessment in the selfBACK Decision Support System. International Conference on Case-Based Reasoning, 32–46.
20. Nikpour, H., Aamodt, P., & Skalle, P. (2016). Diagnosing Root Causes and Generating Graphical Explanations by Integrating Temporal Causal Reasoning and CBR. ICCBR Workshops, 162–172.

Profile Details

https://www.researchgate.net/profile/Agnar-Aamodt
https://www.ntnu.edu/employees/agnar
https://scholar.google.com/citations?user=XfI8SR8AAAAJ&hl=en

WOS ResearcherID: DSJ-4338-2022