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Texte als Bausteine der Umweltforschung : von der analogen Analyse über Datenbanken und virtuelle Forschungsumgebungen zum Crowdsourcing und Maschinellen Lernen

• Authors : Glaser, Rüdiger; Kahle, Michael; Borel, Franck

Subjects: Umweltforschung; Textanalyse; Crowdsourcing

• Source: Landschaft – Region – Identität. - Darmstadt : Porada, Haik Thomas; Harteisen, Ulrich; Hardt, Matthias; Dix, Andreas; Wardenga, Ute (Hg.), 2021. - 541-565, ISBN: 978-3-534-40582-4

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Approaching bike hazards via crowdsourcing of volunteered geographic information

• Authors : Hologa, Rafael; Riach, Nils

• Source: Sustainability. - 12, 17 (2020) , 7015, ISSN: 2071-1050

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Crowdsourcing of histological image labeling and object delineation by medical students

• Authors : Grote, Anne; Schaadt, Nadine S.; Forestier, Germain

Subjects: Open Innovation; Medizinstudent

• Source: IEEE transactions on medical imaging. - 38, 5 (2019) , 1284-1294, ISSN: 1558-254X

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Nutzungspotentiale crowdsource-erhobener Geodaten auf verschiedenen Skalen ; Crowdsourcing geodata - capabilities on different scales

• Authors : Lechner, Marco

Subjects: Geoinformatik; World Wide Web 2.0; Open Innovation

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Task design for crowdsourced glioma cell annotation in microscopy images

• Authors : Schwarze, Svea; Schaadt, Nadine S.; Sobotta, Viktor M. G.

• Source: Scientific reports. - 14, 1 (2024) , 1965, ISSN: 2045-2322

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Quantifying local and mesoscale drivers of the urban heat island of Moscow with reference and crowdsourced observations

• Authors : Varentsov, Mikhail; Fenner, Daniel; Meier, Fred

• Source: Frontiers in environmental science. - 9 (2021) , 716968, ISSN: 2296-665X

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A proteomics sample metadata representation for multiomics integration and big data analysis

• Authors : Dai, Chengxin; Föll, Melanie Christine; Perez-Riverol, Yasset

• Source: Nature communications. - 12, 1 (2021) , 5854, ISSN: 2041-1723

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Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data

• Authors : Foody, Giles; See, Linda; Fritz, Steffen

Subjects: Open Innovation; Ensemble; Latent-Class-Analyse

• Source: ISPRS international journal of geo-information. 7, 3 (2018), article no. 80, DOI 10.3390/ijgi7030080, ISSN: 2220-9964

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A global dataset of crowdsourced land cover and land use reference data ; Data descriptor: a global dataset of crowdsourced land cover and land use reference data

• Authors : Fritz, Steffen; See, Linda; Perger, Christoph

• Source: Scientific data. - 4 (2017) , 170075, ISSN: 2052-4463

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Towards precise and convenient semantic search on text and knowledge bases

• Authors : Haussmann, Elmar

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