Blar i forfatter "Holsbø, Einar"

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    • Convolutional Neural Network for Breathing Phase Detection in Lung Sounds 

      Jacome, Cristina; Ravn, Johan; Holsbø, Einar; Aviles-Solis, Juan Carlos; Melbye, Hasse; Ailo Bongo, Lars (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-04-15)
      We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually annotated by two experienced lung sound researchers. Our algorithm uses a convolutional neural network with spectrograms as the features, removing the need to specify features explicitly. We trained and evaluated the ...

    • Large Multiples : exploring the large-scale scattergun approach to visualization and analysis 

      Holsbø, Einar (Master thesis; Mastergradsoppgave, 2014-05-15)
      We create 2.5 quintillion bytes of data every day. A whole 90% of the world’s data was created in the last two years.1 One contribution to this massive bulk of data is Twitter: Twitter users create 500 million tweets a day,2 which fact has greatly impacted social science [24] and journalism [39]. Network analysis is important in social science [6], but with so much data there is a real danger of ...

    • Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes 

      Pedersen, Bjørn-Richard; Holsbø, Einar; Andersen, Trygve; Shvetsov, Nikita; Ravn, Johan; Sommerseth, Hilde Leikny; Bongo, Lars Ailo (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-06)
      Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using machine learning in production requires a streamlined end-to-end pipeline that scales to the dataset size and a model that achieves high accuracy with few manual transcriptions. The correctness of the model results must ...

    • Metastatic Breast Cancer and Pre-Diagnostic Blood Gene Expression Profiles—The Norwegian Women and Cancer (NOWAC) Post-Genome Cohort 

      Holsbø, Einar; Olsen, Karina Standahl (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-15)
      Breast cancer patients with metastatic disease have a higher incidence of deaths from breast cancer than patients with early-stage cancers. Recent findings suggest that there are differences in immune cell function between metastatic and non-metastatic cases, even years before diagnosis. We have analyzed whole blood gene expression by Illumina bead chips in blood samples taken using the PAXgene blood ...

    • Mr. Clean: A Tool for Tracking and Comparing the Lineage of Scientific Visualization Code 

      Tartari, Giacomo; Tiede, Lars; Holsbø, Einar; Knudsen, Kenneth; Raknes, Inge Alexander; Fjukstad, Bjørn; Mode, Nicolle; Bjørndalen, John Markus; Lund, Eiliv; Bongo, Lars Ailo (Conference object; Konferansebidrag, 2014)

    • Predicting breast cancer metastasis from whole-blood transcriptomic measurements 

      Holsbø, Einar; Perduca, Vittorio; Bongo, Lars Ailo; Lund, Eiliv; Birmelé, Etienne (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-05-20)
      <i>Objective</i> - In this exploratory work we investigate whether blood gene expression measurements predict breast cancer metastasis. Early detection of increased metastatic risk could potentially be life-saving. Our data comes from the Norwegian Women and Cancer epidemiological cohort study. The women who contributed to these data provided a blood sample up to a year before receiving a breast ...