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@InProceedings{Brenning2012, | ||
author = {A. Brenning}, | ||
title = {Spatial cross-validation and bootstrap for the assessment of prediction rules in remote sensing: The {R} package sperrorest}, | ||
booktitle = {2012 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}}, | ||
year = {2012}, | ||
pages = {5372-5375}, | ||
doi = {10.1109/IGARSS.2012.6352393}, | ||
issn = {2153-6996}, | ||
keywords = {Gabor filters;computer bootstrapping;data analysis;geographic information systems;geophysics computing;pattern classification;prediction theory;remote sensing;sampling methods;statistical analysis;support vector machines;IKONOS-derived Gabor texture features;R package sperrorest;bootstrap strategies;computational prediction methods;geospatial data;maximum-likelihood classification;nonspatial equivalent;open-source statistical data analysis software R;prediction rules;remote-sensing applications;rock-glacier flow structures;spatial autocorrelation;spatial context;spatial crossvalidation;spatial resampling-based estimation procedures;statistical prediction methods;support vector machine;terrain attribute data;Context;Data analysis;Estimation;Predictive models;Remote sensing;Rocks;Support vector machines;Gabor filters;Spatial cross-validation;classification accuracy;land cover classification;rock glaciers;spatial bootstrap}, | ||
} | ||
|
||
@InBook{Russ2010b, | ||
pages = {350--359}, | ||
title = {Data Mining in Precision Agriculture: Management of Spatial Information}, | ||
publisher = {Springer Berlin Heidelberg}, | ||
year = {2010}, | ||
author = {Russ, Georg and Brenning, Alexander}, | ||
editor = {Hüllermeier, Eyke and Kruse, Rudolf and Hoffmann, Frank}, | ||
address = {Berlin, Heidelberg}, | ||
booktitle = {{Computational Intelligence for Knowledge-Based Systems Design: 13th International Conference on Information Processing}and {Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28 - July 2, 2010. Proceedings}}, | ||
doi = {10.1007/978-3-642-14049-5_36}, | ||
isbn = {978-3-642-14049-5}, | ||
url = {http://dx.doi.org/10.1007/978-3-642-14049-5_36}, | ||
} | ||
|
||
@InCollection{Russ2010a, | ||
author = {Georg Russ and Alexander Brenning}, | ||
title = {Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture}, | ||
booktitle = {Lecture Notes in Computer Science}, | ||
publisher = {Springer Science + Business Media}, | ||
year = {2010}, | ||
pages = {184--195}, | ||
doi = {10.1007/978-3-642-13062-5_18}, | ||
url = {http://dx.doi.org/10.1007/978-3-642-13062-5_18}, | ||
} | ||
|
||
@Article{Brenning2005, | ||
author = {A. Brenning}, | ||
title = {Spatial prediction models for landslide hazards: review, comparison and evaluation}, | ||
journal = {Natural Hazards and Earth System Science}, | ||
year = {2005}, | ||
volume = {5}, | ||
number = {6}, | ||
pages = {853--862}, | ||
month = {nov}, | ||
doi = {10.5194/nhess-5-853-2005}, | ||
publisher = {Copernicus {GmbH}}, | ||
url = {http://dx.doi.org/10.5194/nhess-5-853-2005}, | ||
} | ||
|
||
@Article{Breiman1996, | ||
author = {Leo Breiman}, | ||
title = {Bagging Predictors}, | ||
journal = {Machine Learning}, | ||
year = {1996}, | ||
volume = {24}, | ||
number = {2}, | ||
pages = {123--140}, | ||
month = {aug}, | ||
doi = {10.1007/bf00058655}, | ||
publisher = {Springer Nature}, | ||
url = {https://doi.org/10.1007%2Fbf00058655}, | ||
} | ||
|
||
@Article{Breiman2001, | ||
author = {Leo Breiman}, | ||
title = {Random Forests}, | ||
journal = {Machine Learning}, | ||
year = {2001}, | ||
volume = {45}, | ||
number = {1}, | ||
pages = {5--32}, | ||
doi = {10.1023/a:1010933404324}, | ||
publisher = {Springer Nature}, | ||
url = {https://doi.org/10.1023%2Fa%3A1010933404324}, | ||
} | ||
|
||
@Article{Pena2015, | ||
author = {M.A. Pe{\~{n}}a and A. Brenning}, | ||
title = {Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile}, | ||
journal = {Remote Sensing of Environment}, | ||
year = {2015}, | ||
volume = {171}, | ||
pages = {234--244}, | ||
month = {dec}, | ||
doi = {10.1016/j.rse.2015.10.029}, | ||
publisher = {Elsevier {BV}}, | ||
url = {https://doi.org/10.1016%2Fj.rse.2015.10.029}, | ||
} | ||
|
||
@Book{James2013, | ||
title = {An Introduction to Statistical Learning}, | ||
publisher = {Springer New York}, | ||
year = {2013}, | ||
author = {Gareth James and Daniela Witten and Trevor Hastie and Robert Tibshirani}, | ||
doi = {10.1007/978-1-4614-7138-7}, | ||
url = {https://doi.org/10.1007%2F978-1-4614-7138-7}, | ||
} | ||
|
||
@Article{Hothorn2005, | ||
author = {Torsten Hothorn and Berthold Lausen}, | ||
title = {Bundling classifiers by bagging trees}, | ||
journal = {Computational Statistics {\&} Data Analysis}, | ||
year = {2005}, | ||
volume = {49}, | ||
number = {4}, | ||
pages = {1068--1078}, | ||
month = {jun}, | ||
doi = {10.1016/j.csda.2004.06.019}, | ||
publisher = {Elsevier {BV}}, | ||
url = {https://doi.org/10.1016%2Fj.csda.2004.06.019}, | ||
} | ||
|
||
@Article{Goetz2015, | ||
author = {J.N. Goetz and A. Brenning and H. Petschko and P. Leopold}, | ||
title = {Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling}, | ||
journal = {Computers {\&} Geosciences}, | ||
year = {2015}, | ||
volume = {81}, | ||
pages = {1--11}, | ||
month = {aug}, | ||
doi = {10.1016/j.cageo.2015.04.007}, | ||
publisher = {Elsevier {BV}}, | ||
url = {https://doi.org/10.1016%2Fj.cageo.2015.04.007}, | ||
} | ||
|
||
@Article{Knudby2010, | ||
author = {Anders Knudby and Alexander Brenning and Ellsworth LeDrew}, | ||
title = {New approaches to modelling fish{\textendash}habitat relationships}, | ||
journal = {Ecological Modelling}, | ||
year = {2010}, | ||
volume = {221}, | ||
number = {3}, | ||
pages = {503--511}, | ||
month = {feb}, | ||
doi = {10.1016/j.ecolmodel.2009.11.008}, | ||
publisher = {Elsevier {BV}}, | ||
url = {https://doi.org/10.1016%2Fj.ecolmodel.2009.11.008}, | ||
} | ||
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||
@Comment{jabref-meta: databaseType:bibtex;} |
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