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Random Forest Classification of Land Use, Land-Use Change and Forestry (LULUCF) Using Sentinel-2 Data - A Case Study of Czechia.

, , , , and . Remote. Sens., 14 (5): 1189 (2022)

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Geometric deep learning on graphs and manifolds using mixture model CNNs., , , , , and . CoRR, (2016)Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs, , , , , and . 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), page 5425--5434. Honolulu, HI, IEEE, (July 2017)Preparation of Smart Surfaces Based on PNaSS@PEDOT Microspheres: Testing of E. coli Detection., , , , , and . Sensors, 22 (7): 2784 (2022)Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer., , , and . CVPR, page 13813-13822. Computer Vision Foundation / IEEE, (2020)QRkit: Sparse, Composable QR Decompositions for Efficient and Stable Solutions to Problems in Computer Vision., , and . WACV, page 1263-1272. IEEE Computer Society, (2018)Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs., , , , , and . CVPR, page 5425-5434. IEEE Computer Society, (2017)Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation., , , , , , and . Remote. Sens., 12 (12): 1914 (2020)How N-(pyridin-4-yl)pyridin-4-amine and its methyl and nitro derivatives are arranged in the interlayer space of zirconium sulfophenylphosphonate: a problem solved by experimental and calculation methods., , , , , , , , and . J. Comput. Aided Mol. Des., 34 (6): 683-695 (2020)Pt(II) and Pt(IV) complexes with large hydrophobic ligands: a study of new potential cytostatics., , , , and . J. Cheminformatics, 5 (S-1): 52 (2013)Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition., , , , and . IJCB, page 1-9. IEEE, (2020)