Blar i Brage INN på forfatter "Fiderer, Christian"
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Camtrap DP: an open standard for the FAIR exchange and archiving of camera trap data
Bubnicki, Jakub W.; Norton, Ben; Baskauf, Steven J.; Bruce, Tom; Cagnacci, Francesca; Casaer, Jim; Churski, Marcin; Cromsigt, Joris P. G. M.; Farra, Simone Dal; Fiderer, Christian; Forrester, Tavis D.; Hendry, Heidi; Heurich, Marco Dietmar; Hofmeester, Tim R.; Jansen, Patrick A.; Kays, Roland; Kuijper, Dries P. J.; Liefting, Yorick; Linnell, John Durrus; Luskin, Matthew S.; Mann, Christopher; Milotic, Tanja; Newman, Peggy; Niedballa, Jürgen; Oldoni, Damiano; Ossi, Federico; Robertson, Tim; Rovero, Francesco; Rowcliffe, Marcus; Seidenari, Lorenzo; Stachowicz, Izabela; Stowell, Dan; Tobler, Mathias W.; Wieczorek, John; Zimmermann, Fridolin; Desmet, Peter (Peer reviewed; Journal article, 2023)Camera trapping has revolutionized wildlife ecology and conservation by providing automated data acquisition, leading to the accumulation of massive amounts of camera trap data worldwide. Although management and processing ... -
A guide for selecting the appropriate plot design to measure ungulate browsing
van Beeck Calkoen, Suzzane T S; Milch, Jérôme; Kupferschmid, Andrea D.; Fiderer, Christian; Heurich, Marco Dietmar (Peer reviewed; Journal article, 2023)Ungulate browsing often impairs tree regeneration, thus preventing the achievement of economic or conservation goals. Forest ungulate management would thus benefit from a practical decision tool that facilitates method ... -
imageseg: An R package for deep learning-based image segmentation
Niedballa, Jürgen; Axtner, Jan; Döbert, Timm Fabian; Tilker, Andrew; Nguyen, An; Wong, Seth T.; Fiderer, Christian; Heurich, Marco Dietmar; Wilting, Andreas (Peer reviewed; Journal article, 2022)Convolutional neural networks (CNNs) and deep learning are powerful and robust tools for ecological applications and are particularly suited for image data. Image segmentation (the classification of all pixels in images) ...