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Automating airborne pollen classification: Identifying and interpreting hard samples for classifiers.

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第一作者: Manuel,Milling
第一单位: CHI - Chair of Health Informatics, MRI, Technical University of Munich, Munich, Germany.;MCML-Munich Center for Machine Learning, Germany.;EIHW - Chair of Embedded Intelligence for Health Care & Wellbeing, University of Augsburg, Augsburg, Germany.
作者单位: CHI - Chair of Health Informatics, MRI, Technical University of Munich, Munich, Germany.;MCML-Munich Center for Machine Learning, Germany.;EIHW - Chair of Embedded Intelligence for Health Care & Wellbeing, University of Augsburg, Augsburg, Germany. [1] EIHW - Chair of Embedded Intelligence for Health Care & Wellbeing, University of Augsburg, Augsburg, Germany. [2] Institute of Environmental Medicine and Integrative Health, 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, Germany. [3] Faculty of Business and Economics, and Faculty of Medicine, University of Augsburg, Augsburg, Germany.;Department of Technology, Management, and Economics, Technical University of Denmark, Denmark.;Next Generation Technology, Region Zealand, Denmark. [4] Institute of Environmental Medicine and Integrative Health, 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, Germany.;Christine Kühne Center for Allergy Research and Education, Davos, Switzerland. [5] CHI - Chair of Health Informatics, MRI, Technical University of Munich, Munich, Germany.;MCML-Munich Center for Machine Learning, Germany.;EIHW - Chair of Embedded Intelligence for Health Care & Wellbeing, University of Augsburg, Augsburg, Germany.;MDSI-Munich Data Science Institute, Germany.;GLAM-the Group on Language, Audio, & Music, Imperial College London, London, UK. [6] Institute of Environmental Medicine and Integrative Health, 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. [7]
DOI 10.1016/j.heliyon.2025.e41656
PMID 39897809
发布时间 2025-02-04
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