Landslide susceptibility mapping using hybridized block modular intelligence model

Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

David Powers · arXiv (Cornell University) · 2020 · 4.4K citations · Full text

Computing, Computer Science, Data Science +16

Pruning algorithms-a survey

Russell Reed · IEEE Transactions on Neural Networks · 1993 · 1.7K citations

Computing, Computer Science, Algorithms +7

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

Dieu Tien Bui, Trần Anh Tuấn, Harald Klempe et al. · Landslides · 2015 · 1.3K citations

Computing, Geoinformatics, Geological Engineering +17

Measuring classifier performance: a coherent alternative to the area under the ROC curve

David J. Hand · Machine Learning · 2009 · 998 citations · Full text

Computing, Computer Science, Data Science +14

Landslide susceptibility mapping: A comparison of logistic regression and neural networks methods in a medium scale study, Hendek region (Turkey)

Ertan Yeşilnacar, Tamer Topal · Engineering Geology · 2005 · 863 citations · Full text

Natural Sciences, Earth Sciences, Geoinformatics +17