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Search results for biblio_year:1979
Filters: 1 is biblio_year:2001 and 2 is biblio_type:Master's thesis and 3 is biblio_year:2003 and 4 is biblio_year:2004 and 5 is biblio_type:Book and 6 is biblio_year:2018 and 7 is biblio_year:2009 and 8 is biblio_type:Talks, invited and 9 is field_research_area:590 and 10 is biblio_year:2019 and 11 is field_publication_owner:not_simula and Author is Rune Borgli  [Reset Search]
2019
R. Borgli, H. K. Stensland and M. Riegler. Automatic Hyperparameter Optimization for Transfer Learning on Medical Image Datasets Using Bayesian Optimization In 13th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2019.PDF icon runeismict19.pdf (3.73 MB)
R. Borgli, K. Pogorelov, M. Riegler, J. Markussen, H. K. Stensland, P. Halvorsen, C. Griwodz and S. L. Eskeland. Efficient Processing of Medical Videos in a Multi-auditory Environment Using Gpu Lending. NVIDIA's GPU Technology Conference (GTC), 2019.PDF icon gtc_poster.pdf (2.49 MB)
J. Markussen, L. B. Kristiansen, R. Borgli, H. K. Stensland, F. Seifert, M. Riegler and C. Griwodz. "Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending." Cluster Computing 22, no. 86 (2019): 1-24.PDF icon markussen2019_article_flexibledevicecompositionsandd.pdf (2.7 MB)
M. Kirkerød, R. Borgli, V. Thambawita, S. Hicks and M. Riegler. Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification In IEEE 13th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2019.
2018
R. Borgli, P. Halvorsen and M. Riegler. Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings (CEUR-WS.org), 2018.PDF icon rune_mediaeval_final.pdf (1.22 MB)
R. Borgli. Hyperparameter optimization using Bayesian optimization on transfer learning for medical image classification In The University of Oslo., 2018.PDF icon master-thesis.pdf (20.39 MB)