This is a list of my academic work. For talks and similar, visit the talks page.
M. Grønnesby, J. C. A. Solis, E. Holsbø, H. Melbye, and L. A. Bongo, Machine Learning Based Crackle Detection in Lung Sounds, [arXiv], May 2017. Currently under submission.
H. M. Bøvelstad, E. Holsbø, L. A. Bongo, and E. Lund, A Standard Operating Procedure For Outlier Removal In Large-Sample Epidemiological Transcriptomics Datasets, [bioRxiv], May 2017. Currently under submission. Hege Bøvelstad and I are joint first authors.
E. Holsbø, V. Perduca, L. A. Bongo, E. Lund, and E. Birmelé, Curve Selection For Predicting Breast Cancer Metastasis From Prospective Gene Expression in Blood. [bioRxiv], 2017. Currently under submission.
Tartari G, Tiede L, Holsbø E, Knudsen K, Raknes IA, Fjukstad B, Mode N, Bjørndalen JM, Lund E, and Bongo LA. Mr. Clean: A Tool for Tracking and Comparing the Lineage of Scientific Visualization Code. 2nd IEEE Working Conference on Software Visualization
Elahi N, Karlsen R, and Holsbø E. Personalized Photo Recommendation By Leveraging User Modeling On Social Network. Proceedings of the iiWAS2013 The 15th International Conference on Information Integration and Web-based Applications & Services.
Holsbø E, Ha PH, and Anshus O. The Big Digger & Puzzler System for Harvesting & Analyzing Data from Social Networks. Norsk informatikkonferanse NIK 2013
- Olsen KS, Holsbø E, Rognmo K, Krum-Hansen S, and Lund E. Stress related to a suspicious mammogram - potential transcriptomic effects. Abstract. The 7th Conference on Epidemiology and Registry-Based Health Research - NordicEpi 2015
- Morten Grønnesby. Automated Lung Sound Analysis. Master thesis. Department of Computer Science, University of Tromsø. June 2016.