Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling

Assessing the Generalization of Machine Learning-Based Slope Failure Prediction to New Geographic Extents

(2021) Aaron E. Maxwell et al.   ISPRS International Journal of Geo-Information

RYEL: An Experimental Study in the Behavioral Response of Judges Using a Novel Technique for Acquiring Higher-Order Thinking Based on Explainable Artificial Intelligence and Case-Based Reasoning

(2021) Luis Raúl Rodríguez Rodríguez Oconitrillo et al.   Electronics

Using machine learning to predict habitat suitability of sloth bears at multiple spatial scales

(2021) Tahir Ali Rather et al.   Ecological Processes

Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt

(2020) Aaron E. Maxwell et al.   Remote Sensing

Conditional permutation importance revisited

(2020) Dries Debeer et al.   BMC BIOINFORMATICS

Explainable Machine Learning in Credit Risk Management

(2020) Niklas Bussmann et al.   Computational Economics

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

(2020) Erico Tjoa et al.   IEEE Transactions on Neural Networks and Learning Systems

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM

(2019) Jie Dou et al.   Remote Sensing

UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks

(2019) Omid Ghorbanzadeh et al.   Remote Sensing

Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques

(2019) Kuan-Tsung Chang et al.   Scientific Reports

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

(2018) Haoyuan Hong et al.   CATENA

Implementation of machine-learning classification in remote sensing: an applied review

(2018) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

(2017) Wei Chen et al.   GEODERMA

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

(2017) Jeong-Cheol Kim et al.   Geocarto International

Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

(2016) Hamid Reza Pourghasemi et al.   Environmental Earth Sciences

Deep Impact: Effects of Mountaintop Mining on Surface Topography, Bedrock Structure, and Downstream Waters

(2016) Matthew R. V. Ross et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Exploring discrepancies between quantitative validation results and the geomorphic plausibility of statistical landslide susceptibility maps

(2016) Stefan Steger et al.   GEOMORPHOLOGY

Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression

(2016) Ismail Colkesen et al.   JOURNAL OF AFRICAN EARTH SCIENCES

Evaluation of landslide susceptibility mapping techniques using lidar-derived conditioning factors (Oregon case study)

(2016) Rubini Mahalingam et al.   Geomatics Natural Hazards & Risk

PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R

(2015) Jan Grau et al.   BIOINFORMATICS

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

Combining a Spatial Model and Demand Forecasts to Map Future Surface Coal Mining in Appalachia

(2015) Michael P. Strager et al.   PLoS One

The AmericaView classification methods accuracy comparison project: A rigorous approach for model selection

(2015) Rick L. Lawrence et al.   REMOTE SENSING OF ENVIRONMENT

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

The Overlooked Terrestrial Impacts of Mountaintop Mining

(2013) James Wickham et al.   BIOSCIENCE

Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models

(2012) Dieu Tien Bui et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

pROC: an open-source package for R and S+ to analyze and compare ROC curves

(2011) Xavier Robin et al.   BMC BIOINFORMATICS

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY

Integrating physical and empirical landslide susceptibility models using generalized additive models

(2011) Jason N. Goetz et al.   GEOMORPHOLOGY

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mountaintop Mining Consequences

(2010) M. A. Palmer et al.   SCIENCE

Gradient modeling of conifer species using random forests

(2009) Jeffrey S. Evans et al.   LANDSCAPE ECOLOGY

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)

(2008) Işık Yilmaz   COMPUTERS & GEOSCIENCES

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY