Lars Vidar Magnusson

Norwegian version of this page Department of Computer Science and Communication

Norwegian version of this page Position

Associate Professor

Contact

lars.v.magnusson@hiof.no

Study place

Halden

Office nr.

General

Research member of the Digital Society, a research priority area at Høgskolen University College (The Digital Society - Østfold University College (hiof.no) or More about The Digital Society - Østfold University College (hiof.no))

Academic interests

Machine learning
Image analysis
Natural language processing
Explainable Artificial Intelligence
Computer graphics and virtual environments

Courses taught

Background

Master thesis from Østfold University College. PhD from University of Oslo.

Positions held

Secondary leader of Machine Learning research group
Department representative for Forskerforbundet

Projects

Research groups

Machine Learning

Tags: The Digital Society, DigiTech

Sorano, Ruslan; Ripon, Kazi Shah Nawaz & Magnusson, Lars Vidar (2024). Evolutionary Optimization of Artificial Neural Networks and Tree-Based Ensemble Models for Diagnosing Deep Vein Thrombosis . In Westphal, Florian; Peretz-Andersson, Einav; Riveiro, Maria; Bach, Kerstin & Heintz, Fredrik (Ed.), 14th Scandinavian Conference on Artificial Intelligence - SCAI 2024. Swedish Artificial Intelligence Society. ISSN 978-91-8075-709-6. p. 178–187. doi: https:/doi.org/10.3384/ecp208020.
Sorano, Ruslan; Ripon, Kazi Shah Nawaz; Magnusson, Lars Vidar; Halstensen, Thor-David & Ghanima, Waleed (2024). Enhancing Deep Vein Thrombosis Diagnosis with Multi-Objective Evolutionary Algorithm and Machine Learning. In Ogul, Hasan; Aamodt, Jonas Moræus; Misra, Sanjay & Kjølerbakken, Kai Morgan (Ed.), 2024 4th International Conference on Applied Artificial Intelligence (ICAPAI). IEEE conference proceedings. ISSN 979-8-3503-4976-4. doi: 10.1109/ICAPAI61893.2024.10541216.
Sorano, Ruslan; Ripon, Kazi Shah Nawaz & Magnusson, Lars Vidar (2023). Evolutionary Multi-objective Optimization of Hyperparameters for Decision Support in Healthcare. In Kulkarni, Anand J & Gandomi, Amir H. (Ed.), Handbook of Formal Optimization. Springer Nature. ISSN 978-981-19-8851-6. doi: https:/doi.org/10.1007/978-981-19-8851-6_28-2.
Magnusson, Lars Vidar; Olsson, Roland & Tran, Chau Thi Thuy (2023). Recurrent Neural Networks for Oil Well Event Prediction. IEEE Intelligent Systems. ISSN 1541-1672. 38(2), p. 73–80. doi: 10.1109/MIS.2023.3252446. Full text in Research Archive
Sorano, Ruslan; Magnusson, Lars Vidar & Abbas, Khurshid (2022). Comparing Effectiveness of Machine Learning Methods for Diagnosis of Deep Vein Thrombosis. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. p. 279–293. doi: 10.1007/978-3-031-10548-7_21.
Magnusson, Lars Vidar & Olsson, Roland (2016). Improving the Canny Edge Detector Using Automatic Programming: Improving Hysteresis Thresholding. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN 1892-0713. doi: 10.1109/icivc.2016.7571270.
Magnusson, Lars Vidar & Olsson, Roland (2016). Improving the Canny edge detector using automatic programming: Improving non-max suppression, GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016. Association for Computing Machinery (ACM). ISSN 978-1-4503-4206-3. p. 461–468. doi: 10.1145/2908812.2908926.
Magnusson, Lars Vidar & Olsson, Roland (2016). Improving the Canny edge detector using automatic programming: Improving the filter, 2016 International Conference on Image, Vision and Computing (ICIVC 2016): August 3-5, 2016: Portsmouth, UK. IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-5090-3755-1. p. 36–40. doi: 10.1109/ICIVC.2016.7571270.
Larsen, Kristin; Magnusson, Lars Vidar & Olsson, Roland (2014). Edge Pixel Classification Using Automatic Programming. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN 1892-0713.
Magnusson, Lars Vidar & Olsson, Roland (2014). Improving Graph-Based Image Segmentation Using Automatic Programming. In Esparcia-Alcázar, Anna I. & Mora, Antonio (Ed.), Applications of Evolutionary Computation. 17th European Conference, EvoApplications 2014, Granada, Spain, April 23-25, 2014. Springer. ISSN 978-3-662-45523-4. p. 464–475. doi: 10.1007/978-3-662-45523-4_38.

View all works in Cristin

Magnusson, Lars Vidar (2023). Maskinlæring og generativ AI i helsevesenet.
Magnusson, Lars Vidar (2023). AI på pøbben.
Magnusson, Lars Vidar (2022). Introduction to Image Analysis.
Magnusson, Lars Vidar (2019). Paneldebatt AI og øl.
Magnusson, Lars Vidar (2019). En Introduksjon til Kunstig Intelligens.
Magnusson, Lars Vidar (2016). Improving the Canny Edge Detector Using Automatic Programming: Improving Hysteresis Thresholding.
Magnusson, Lars Vidar (2016). Improving the Canny edge detector using automatic programming: Improving non-max suppression.
Magnusson, Lars Vidar (2016). Improving the Canny edge detector using automatic programming: Improving the filter.
Magnusson, Lars Vidar (2014). Edge Pixel Classification Using Automatic Programming.
Magnusson, Lars Vidar (2014). Improving Graph-Based Image Segmentation Using Automatic Programming.
Magnusson, Lars Vidar (2018). Using Automatic Programming to Improve Image Analysis Algorithms. Universitetet i Oslo. ISSN 1501-7710.

View all works in Cristin

Published June 12, 2018 4:14 PM - Last modified Mar. 15, 2022 11:11 AM