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- Journal Article
- A1
- open access
Automatic extraction of specimens from multi-specimen herbaria
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Exploring the potential of social media to study environmental topics and natural disasters
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- Journal Article
- A1
- open access
Computer vision and machine learning approaches for metadata enrichment to improve searchability of historical newspaper collections
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FAME video browser : face recognition based metadata generation for performing art videos
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An exploratory analysis on using social media to monitor environmental issues and natural disasters
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- Journal Article
- A1
- open access
Automatic georeferencing of topographic raster maps
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- Conference Paper
- C1
- open access
Extraction and classification of historical stamp cards using computer vision
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- Conference Paper
- C3
- open access
NewspAIper : AI-based metadata enrichment of historical newspaper collections
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- Conference Paper
- C3
- open access
Species detection and segmentation of multi-specimen historical herbaria
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- Conference Paper
- C3
- open access
Collections as Data : interdisciplinary experiments with KBR’s digitised historical newspapers : a Belgian case study