Integrating Remote Sensing, Machine Learning, and Citizen Science in Dutch Archaeological Prospection von Lambers, Karsten, Verschoof-van der Vaart, Wouter, Bourgeois, Quentin

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Applying automated object detection in archaeological practice: A case study from the southern Netherlands von Verschoof‐van der Vaart, Wouter B., Lambers, Karsten

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Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights von Fiorucci, Marco, Verschoof-van der Vaart, Wouter B., Soleni, Paolo, Le Saux, Bertrand, Traviglia, Arianna

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Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands von Verschoof-van der Vaart, Wouter B., Lambers, Karsten, Kowalczyk, Wojtek, Bourgeois, Quentin P.J.

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Field systems and later prehistoric land use: New insights into land use detectability and palaeodemography in the Netherlands through LiDAR, automatic detection and traditional fi... von Arnoldussen, Stijn, Verschoof‐van der Vaart, Wouter B., Kaptijn, Eva, Bourgeois, Quentin P. J.

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Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands von Verschoof-van der Vaart, Wouter B., Landauer, Juergen

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Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data von Sech, Gregory, Soleni, Paolo, der Vaart, Wouter B. Verschoof-van, Kokalj, Žiga, Traviglia, Arianna, Fiorucci, Marco

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Transfer Learning of Semantic Segmentation Methods for Identifying Buried Archaeological Structures on LiDAR Data von Sech, Gregory, Soleni, Paolo, Wouter B Verschoof-van der Vaart, Kokalj, Žiga, Traviglia, Arianna, Fiorucci, Marco

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