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Airborne pollen grain detection from partially labelled data utilising semi-supervised learning.

May 22, 2023

ABOUT THE EXPERTS

  • Benjamin Jin

    Chair of Embedded Intelligence for Health Care & Wellbeing, Faculty of Applied Computer Science, University of Augsburg, Augsburg, Germany.

    Manuel Milling

    Chair of Embedded Intelligence for Health Care & Wellbeing, Faculty of Applied Computer Science, University of Augsburg, Augsburg, Germany.

    Maria Pilar Plaza

    Department of Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany; Institute of Environmental Medicine, Helmholtz Center Munich, German Research Center for Environmental Health, Augsburg, Germany.

    Jens O Brunner

    Chair of Health Care Operations/Health Information Management, Faculty of Business and Economics, University of Augsburg, Augsburg, Germany.

    Claudia Traidl-Hoffmann

    Department of Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany; Institute of Environmental Medicine, Helmholtz Center Munich, German Research Center for Environmental Health, Augsburg, Germany.

    Björn W Schuller

    Chair of Embedded Intelligence for Health Care & Wellbeing, Faculty of Applied Computer Science, University of Augsburg, Augsburg, Germany; GLAM – The Group on Language, Audio & Music, Imperial College, London, UK.

    Athanasios Damialis

    Department of Environmental Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany; Terrestrial Ecology and Climate Change, Department of Ecology, School of Biology, Faculty of Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece. Electronic address: dthanos@bio.auth.gr.

REFERENCES & ADDITIONAL READING

PubMed

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