June 23, 2020 article Open access Precise automatic classification of 46 different pollen types with convolutional neural networks PLoS ONE DOI: 10.1371/journal.pone.0229751 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 100 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Analysis of automatic image classification methods for Urticaceae pollen classification 2022 Neurocomputing article Computer Science Image Retrieval and Classification Techniques Open access 21 citations DNA metabarcoding using nrITS2 provides highly qualitative and quantitative results for airborne pollen monitoring 2021 The Science of The Total Environment article Environmental Science Environmental DNA in Biodiversity Studies Open access 55 citations Neural networks for increased accuracy of allergenic pollen monitoring 2021 Scientific Reports article Medicine Allergic Rhinitis and Sensitization Open access 46 citations 3 results References 0