Estimating Uncertainty of Point-Cloud Based Single-Tree Segmentation with Ensemble Based Filtering by Matthew Parkan, Devis Tuia

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Kernel Manifold Alignment for Domain Adaptation. by Devis Tuia, Gustau Camps-Valls

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Concept Discovery for The Interpretation of Landscape Scenicness by Pim Arendsen, Diego Marcos, Devis Tuia

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Large-scale detection of marine debris in coastal areas with Sentinel-2 by Marc Rußwurm, Sushen Jilla Venkatesa, Devis Tuia

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21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning by Benjamin Kellenberger, Thor Veen, Eelke Folmer, Devis Tuia

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Scalable semantic 3D mapping of coral reefs with deep learning by Jonathan Sauder, Guilhem Banc‐Prandi, Anders Meibom, Devis Tuia

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Meta-learning to address diverse Earth observation problems across resolutions by Marc Rußwurm, Sherrie Wang, Benjamin Kellenberger, Ribana Roscher, Devis Tuia

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Social media and deep learning capture the aesthetic quality of the landscape by Ilan Havinga, Diego Marcos, Patrick W. Bogaart, Lars Hein, Devis Tuia

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Short-term runoff forecasting in an alpine catchment with a long short-term memory neural network by Corinna Frank, Corinna Frank, Marc Rußwurm, Javier Fluixa-Sanmartin, Devis Tuia

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Social media and deep learning reveal specific cultural preferences for biodiversity by Ilan Havinga, Diego Marcos, Patrick Bogaart, Dario Massimino, Lars Hein, Devis Tuia

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Counting using deep learning regression gives value to ecological surveys by Jeroen P. A. Hoekendijk, Benjamin Kellenberger, Geert Aarts, Sophie Brasseur, Suzanne S. H. Poiesz, Devis Tuia

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Mapping drivers of tropical forest loss with satellite image time series and machine learning by Jan Pišl, Marc Rußwurm, Lloyd Haydn Hughes, Gaston Lenczner, Linda See, Jan Dirk Wegner, Devis Tuia

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Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica by Veronica Tollenaar, Harry Zekollari, Frank Pattyn, Marc Rußwurm, Benjamin Kellenberger, Stef Lhermitte, Maaike Izeboud, Devis Tuia

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Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest by Naoto Yokoya, Pedram Ghamisi, Junshi Xia, Sergey Sukhanov, Roel Heremans, Ivan Tankoyeu, Benjamin Bechtel, Bertrand Le Saux, Gabriele Moser, Devis Tuia

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Fine-grained population mapping from coarse census counts and open geodata by Nando Metzger, John E. Vargas-Muñoz, Rodrigo C. Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia

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Regional uniqueness of tree species composition and response to forest loss and climate change by Nina van Tiel, Fabian Fopp, Philipp Brun, Johan van den Hoogen, Dirk Nikolaus Karger, Cecilia M. Casadei, Lisha Lyu, Devis Tuia, Niklaus E. Zimmermann, Thomas W. Crowther, Loïc Pellissier

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Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest–Part A: 2-D Contest by Manuel Campos-Taberner, Adriana Romero-Soriano, Carlo Gatta, Gustau Camps-Valls, Adrien Lagrange, Bertrand Le Saux, Anne Beaupere, Alexandre Boulch, Adrien Chan-Hon-Tong, Stephane Herbin, Hicham Randrianarivo, Marin Ferecatu, Michal Shimoni, Gabriele Moser, Devis Tuia

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Perspectives in machine learning for wildlife conservation by Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Berger-Wolf

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