Improving Classification Performance of Continuous GNSS Stations Using a 
Combination of Human and Machine Learning

Nhung, Le; Männel, B.; Deng, Z.; Luong, T. T.; Schuh, H.

doi:10.5194/iag-comm4-2022-20

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Improving Classification Performance of Continuous GNSS Stations Using a Combination of Human and Machine Learning

Nhung, L., Männel, B., Deng, Z., Luong, T. T., Schuh, H. (2022): Improving Classification Performance of Continuous GNSS Stations Using a Combination of Human and Machine Learning - Abstracts, 2nd Symposium of IAG Commission 4 "Positioning and Applications" (Potsdam, Germany 2022).
https://doi.org/10.5194/iag-comm4-2022-20

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014360 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014360_1

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Creators:
Nhung, Le¹, Author
Männel, B.¹, Author
Deng, Z.¹, Author
Luong, T. T., Author
Schuh, H.¹, Author

Affiliations:
11.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146025

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Dates: Finally published : 2022

Publication Status: Finally published

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Identifiers: GFZPOF: p4 T3 Restless Earth
DOI: 10.5194/iag-comm4-2022-20

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Title: 2nd Symposium of IAG Commission 4 "Positioning and Applications"

Place of Event: Potsdam, Germany

Start-/End Date: 2022-09-05 - 2022-09-08

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Title: Abstracts

Source Genre: Proceedings

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