Sökning: "Bias correction"

Visar resultat 1 - 5 av 54 avhandlingar innehållade orden Bias correction.

  1. 1. Bias in prediction : on correction methods

    Författare :Sven Rydberg; Stockholms universitet; []
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  3. 2. In-group bias control

    Författare :Öyvind Jörgensen; Institutionen för psykologi; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; In-group bias; in-group favoritism; control; stereotypes; prejudice;

    Sammanfattning : This thesis explores in-group bias control. It is well-known that people tend to have extra liking for people they identify themselves with. An extra positive in-group attitude may cause discrimination, even in the absence of any negative attitudes towards the out-group. LÄS MER

  4. 3. Reducing uncertainties in climate change impact studies through uni- and multivariate methods : A Nordic perspective

    Författare :Faranak Tootoonchi; Claudia Teutschbein; Jan O. Haerter; Olle Räty; Thomas Grabs; Alex J. Cannon; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Climate change; precipitation and temperature; bias adjustment; bias correction; univariate and multivariate methods; hydrologic signatures; drought; Sweden; Geovetenskap med inriktning mot miljöanalys; Earth Science with specialization in Environmental Analysis;

    Sammanfattning : Climate change poses undeniable impacts on hydroclimatic processes due to simultaneous effects of rising temperature and changing precipitation patterns. To quantify these impacts, simulations of climate variables are typically retrieved from climate models, which are then downscaled and bias-adjusted for a particular study site. LÄS MER

  5. 4. In-group bias control

    Författare :Øyvind Jørgensen; Martin Bäckström; Fredrik Björklund; Kristianstad University; []
    Nyckelord :;

    Sammanfattning : Många människor förespråkar en egalitär norm. I detta ingår att man ska bemöta människor på lika villkor och inte låta sig påverkas av irrelevanta faktorer som människors etniska ursprung, sexuella läggning eller norska brytning. LÄS MER

  7. 5. Contributions to deep learning for imaging in radiotherapy

    Författare :Attila Simkó; Joakim Jonsson; Tommy Löfstedt; Anders Garpebring; Tufve Nyholm; Veronika Cheplygina; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; deep learning; medical imaging; radiotherapy; artefact correction; bias field correction; contrast transfer; synthetic CT; reproducibility;

    Sammanfattning : Purpose: The increasing importance of medical imaging in cancer treatment, combined with the growing popularity of deep learning gave relevance to the presented contributions to deep learning solutions with applications in medical imaging.Relevance: The projects aim to improve the efficiency of MRI for automated tasks related to radiotherapy, building on recent advancements in the field of deep learning. LÄS MER