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

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第一作者: Benjamin,Jin
第一单位: Chair of Embedded Intelligence for Health Care & Wellbeing, Faculty of Applied Computer Science, University of Augsburg, Augsburg, Germany.
作者单位: Chair of Embedded Intelligence for Health Care & Wellbeing, Faculty of Applied Computer Science, University of Augsburg, Augsburg, Germany. [1] Department of Environmental Medicine, Faculty of Medicine, University Clinic of Augsburg & University of Augsburg, Augsburg, Germany; Institute of Environmental Medicine, Helmholtz Center Munich, German Research Center for Environmental Health, Augsburg, Germany. Electronic address: maria.plaza@uni-a.de. [2] Chair of Health Care Operations/Health Information Management, Faculty of Business and Economics, University of Augsburg, Augsburg, Germany; Decision Science, Healthcare Department of Technology, Management, and Economics, Technical University of Denmark, Denmark; Region Zealand, Data & Development Support, Denmark; Health Care Operations/Health Information Management, Faculty of Business and Economics, Faculty of Medicine, University of Augsburg, Germany. [3] Department of Environmental Medicine, Faculty of Medicine, University Clinic of Augsburg & University of Augsburg, Augsburg, Germany; Institute of Environmental Medicine, Helmholtz Center Munich, German Research Center for Environmental Health, Augsburg, Germany. [4] 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. [5] Department of Environmental Medicine, Faculty of Medicine, University Clinic of Augsburg & 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. [6]
DOI 10.1016/j.scitotenv.2023.164295
PMID 37211136
发布时间 2023-06-28
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