dr. ir. Kenzo Milleville
- ORCID iD
- 0000-0002-9765-6000
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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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Enriching Image Archives via Facial Recognition
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- Journal Article
- A1
- open access
Envisaging a global infrastructure to exploit the potential of digitised collections
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- PhD Thesis
- open access
Unlocking the potential of digital archives via artificial intelligence
(2023) -
Evaluating segmentation approaches on digitized herbarium specimens
(2023) ADVANCES IN VISUAL COMPUTING, ISVC 2023, PT II. In Lecture Notes in Computer Science 14362. p.65-78 -
- Journal Article
- A1
- open access
Automatic extraction of specimens from multi-specimen herbaria
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- Journal Article
- A2
- open access
Exploring the potential of social media to study environmental topics and natural disasters
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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
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- Conference Paper
- C1
- open access
Improving toponym recognition accuracy of historical topographic maps
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- Conference Paper
- C1
- open access
WordCrowd : a location-based application to explore the city based on geo-social media and semantics
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- Conference Paper
- C1
- open access
EURECA : EUropean Region Enrichment in City Archives and collections
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Video summarization and video highlight selection tools to facilitate fire incident management