Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China

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Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

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Learning deep features to recognise speech emotion using merged deep CNN

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GIS-based spatial prediction of debris flows using logistic regression and frequency ratio models for Zêzere River basin and its surrounding area, Northwest Covilhã, Portugal

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The Value of Using Multiple Hydrometeorological Variables to Predict Temporal Debris Flow Susceptibility in an Alpine Environment

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Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping

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Relevance of erosion processes when modelling in-channel gravel debris flows for efficient hazard assessment

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A Novel Method of Statistical Line Loss Estimation for Distribution Feeders Based on Feeder Cluster and Modified XGBoost

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Development of an initiation criterion for debris flows based on local topographic properties and applicability assessment at a regional scale

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Landslide susceptibility assessment using uncertain decision tree model in loess areas

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Mapping debris flow susceptibility using analytical network process in Kodaikkanal Hills, Tamil Nadu (India)

(2017) Evangelin Ramani Sujatha et al.   Journal of Earth System Science

Comparative evaluation of geological disaster susceptibility using multi-regression methods and spatial accuracy validation

(2017) Weiguo Jiang et al.   Journal of Geographical Sciences

GIS tools for preliminary debris-flow assessment at regional scale

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Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan

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Desertification Susceptibility Mapping Using Logistic Regression Analysis in the Djelfa Area, Algeria

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Application of Bivariate and Multivariate Statistical Techniques in Landslide Susceptibility Modeling in Chittagong City Corporation, Bangladesh

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Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm

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Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree

(2017) Hyun-Joo Oh et al.   Applied Sciences-Basel

The first all-season sample set for mapping global land cover with Landsat-8 data

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CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods

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A GIS-Based Framework for Real-Time Debris-Flow Hazard Assessment for Expressways in Korea

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Weights-of-evidence method based on GIS for assessing susceptibility to debris flows in Kangding County, Sichuan Province, China

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A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network

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Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece

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Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection

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Volume estimation of small scale debris flows based on observations of topographic changes using airborne LiDAR DEMs

(2014) Hosung Kim et al.   Journal of Mountain Science

Estimate of the debris-flow entrainment using field and topographical data

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Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

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Debris flow susceptibility assessment by GIS and information value model in a large-scale region, Sichuan Province (China)

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Debris flows in the Swiss National Park: the influence of different flow models and varying DEM grid size on modeling results

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