Results 31 to 40 of about 3,078,415 (263)
CHIRPS: Explaining random forest classification [PDF]
Artificial Intelligence Review, 2020 AbstractModern machine learning methods typically produce “black box” models that are opaque to interpretation. Yet, their demand has been increasing in theHuman-in-the-Loopprocesses, that is, those processes that require a human agent to verify, approve or reason about the automated decisions before they can be applied.
Julian Hatwell +2 more
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Winter remote sensing images are more suitable for forest mapping in Jiangxi Province
European Journal of Remote Sensing, 2023 Jiangxi Province boasts the second-highest forest coverage in China. Its forests play a crucial role in providing essential ecosystem services and maintaining the ecological health of the region.
Ruilin Wang +4 more
doaj +1 more source
Ecology and Classification of Forests in Turkey
Procedia - Social and Behavioral Sciences, 2014 AbstractTurkey possesses all types of parent materials or bedrocks like metamorphic, sedimentary and volcanic belonging to different geological era and periods. Some parent materials contain evaporitic sediments with salt, gypsum and high contents of alkaline materials which mostly prevent the growth of climax vegetation.
Atalay, Ibrahim +2 more
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Mapping Forest Types in China with 10 m Resolution Based on Spectral–Spatial–Temporal Features
Remote Sensing, 2021 The comprehensive application of spectral, spatial, and temporal (SST) features derived from remote sensing images is a significant technique for classifying and mapping forest types.
Kai Cheng, Juanle Wang, Xinrong Yan
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Land, 2019 Attempts to study shifting cultivation landscapes are fundamentally impeded by the difficulty in mapping and distinguishing shifting cultivation, settled farms and forests.
Amit John Kurien +2 more
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Adaptive Forests For Classification
CoRRUnder review at ...
Dimitris Bertsimas, Yubing Cui
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Remote SensingThis study aims to establish a deep learning-based classification framework to efficiently and rapidly distinguish between coniferous and broadleaf forests across the Loess Plateau.
Mei Zhang +3 more
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FOREST SPECIES CLASSIFICATION BASED ON THREE-DIMENSIONAL COORDINATE AND INTENSITY INFORMATION OF AIRBORNE LIDAR DATA WITH RANDOM FOREST METHOD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Forest species is a basic parameter of forest ecosystem. The accurate identification of forest species can not only improve the estimation accuracy of other forest structural parameters, but also have important significance for forest resource monitoring
H. T. You, P. Lei, M. S. Li, F. Q. Ruan
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Learning Transformations for Classification Forests
, 2013 This work introduces a transformation-based learner model for classification forests. The weak learner at each split node plays a crucial role in a classification tree. We propose to optimize the splitting objective by learning a linear transformation on subspaces using nuclear norm as the optimization criteria.
Qiang Qiu 0001, Guillermo Sapiro
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From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source