Landslide susceptibility analysis using weight of evidence. - Saro Lee; J. Choi; U. Chwae; B. Chang (IGARSS, 2002)

Landslide susceptibility mapping using GIS and the weight-of-evidence model. - Saro Lee; J. Choi (Int. J. Geogr. Inf. Sci., 2004)

Ground Subsidence Hazard Analysis in an Abandoned Underground Coal Mine Area using Probabisltic and Logistic Regression Models. - Saro Lee; Kidong Kim; Hyun-Joo Oh (IGARSS, 2006)

Mineral Potential Assessment of Sedimentary Deposit using Frequency Ratio and Logistic Regression of Gangreung Area, Korea. - Saro Lee; Hyun-Joo Oh; No-Wook Park (IGARSS, 2006)

Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. - Biswajeet Pradhan; Saro Lee (Environ. Model. Softw., 2010)

A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses. - Biswajeet Pradhan; Saro Lee; Manfred F. Buchroithner (Comput. Environ. Urban Syst., 2010)

Integration of mineral potential maps from various geospatial models. - Saro Lee (COM.Geo, 2011)

Landslide hazard mapping using geospatial models. - Saro Lee; Chandra Prakash Poudyal (COM.Geo, 2011)

Application of an evidential belief function model in landslide susceptibility mapping. - Omar F. Althuwaynee; Biswajeet Pradhan; Saro Lee (Comput. Geosci., 2012)

Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping. - Inhye Park; Jaewon Choi; Moung Jin Lee; Saro Lee (Comput. Geosci., 2012)

Landslide Susceptibility Assessment Using Frequency Ratio Technique with Iterative Random Sampling. - Hyun-Joo Oh; Saro Lee; Soo-Min Hong (J. Sensors, 2017)

Sensor Technologies and Methods for Geoinformatics and Remote Sensing. - Hyung-Sup Jung; Saro Lee; Lei Zhang 022 (J. Sensors, 2018)

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. - Dieu Tien Bui; Himan Shahabi; Ataollah Shirzadi; Kamran Chapi; Nhat-Duc Hoang; Binh Thai Pham; Quang-Thanh Bui; Chuyen-Trung Tran; Mahdi Panahi; Baharin Bin Ahmad; Saro Lee (Remote. Sens., 2018)

Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping. - Prima Riza Kadavi; Chang-Wook Lee; Saro Lee (Remote. Sens., 2018)

Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea. - Sungjae Park; Chang-Wook Lee; Saro Lee; Moung-Jin Lee (Remote. Sens., 2018)

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms. - Dieu Tien Bui; Himan Shahabi; Ataollah Shirzadi; Kamran Chapi; Biswajeet Pradhan; Wei Chen 051; Khabat Khosravi; Mahdi Panahi; Baharin Bin Ahmad; Saro Lee (Sensors, 2018)

Evaluating unconfined compressive strength of cohesive soils stabilized with geopolymer: a computational intelligence approach. - Hamed Javdanian; Saro Lee (Eng. Comput., 2019)

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model. - Dieu Tien Bui; Khabat Khosravi; Himan Shahabi; Prasad Daggupati; Jan Franklin Adamowski; Assefa M. Melesse; Binh Thai Pham; Hamid Reza Pourghasemi; Mehrnoosh Mahmoudi; Sepideh Bahrami; Biswajeet Pradhan; Ataollah Shirzadi; et al. (Remote. Sens., 2019)

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm. - Dieu Tien Bui; Himan Shahabi; Ebrahim Omidvar; Ataollah Shirzadi; Marten Geertsema; John J. Clague; Khabat Khosravi; Biswajeet Pradhan; Binh Thai Pham; Kamran Chapi; Zahra Barati; Baharin Bin Ahmad; et al. (Remote. Sens., 2019)

Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538. - Dieu Tien Bui; Himan Shahabi; Ataollah Shirzadi; Kamran Chapi; Nhat-Duc Hoang; Binh Thai Pham; Quang-Thanh Bui; Chuyen-Trung Tran; Mahdi Panahi; Baharin Bin Ahmad; Saro Lee (Remote. Sens., 2019)

Spatial Mapping of the Groundwater Potential of the Geum River Basin Using Ensemble Models Based on Remote Sensing Images. - Jeong-Cheol Kim; Hyung-Sup Jung; Saro Lee (Remote. Sens., 2019)

An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping. - Omid Rahmati; Davoud Davoudi Moghaddam; Vahid Moosavi; Zahra Kalantari; Mahmood Samadi; Saro Lee; Dieu Tien Bui (Remote. Sens., 2019)

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran). - Dieu Tien Bui; Ataollah Shirzadi; Himan Shahabi; Kamran Chapi; Ebrahim Omidvar; Binh Thai Pham; Dawood Talebpour Asl; Hossein Khaledian; Biswajeet Pradhan; Mahdi Panahi; Baharin Bin Ahmad; Hosein Rahmani; et al. (Sensors, 2019)

Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model. - Azam Kadirhodjaev; Fatemeh Rezaie; Moung-Jin Lee; Saro Lee (ISPRS Int. J. Geo Inf., 2020)

Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility. - Alireza Arabameri; Ebrahim Karimi-Sangchini; Subodh Chandra Pal; Asish Saha; Indrajit Chowdhuri; Saro Lee; Dieu Tien Bui (Remote. Sens., 2020)

Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran). - Alireza Arabameri; Saro Lee; John P. Tiefenbacher; Phuong-Thao Thi Ngo (Remote. Sens., 2020)

Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility. - Alireza Arabameri; Omid Asadi Nalivan; Subodh Chandra Pal; Rabin Chakrabortty; Asish Saha; Saro Lee; Biswajeet Pradhan; Dieu Tien Bui (Remote. Sens., 2020)

Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques. - Sunmin Lee; Yunjung Hyun; Saro Lee; Moung-Jin Lee (Remote. Sens., 2020)

Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility. - Subodh Chandra Pal; Alireza Arabameri; Thomas Blaschke; Indrajit Chowdhuri; Asish Saha; Rabin Chakrabortty; Saro Lee; Shahab S. Band (Remote. Sens., 2020)

Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility. - Paramita Roy; Subodh Chandra Pal; Alireza Arabameri; Rabin Chakrabortty; Biswajeet Pradhan; Indrajit Chowdhuri; Saro Lee; Dieu Tien Bui (Remote. Sens., 2020)

Utilizing the SAR, GIS, and Novel Hybrid Metaheuristic-GMDH Algorithm for Flood Susceptibility Mapping. - Fatemeh Rezaie; Sayed M. Bateni; Essam Heggy; Saro Lee (IGARSS, 2021)

Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea. - Muhammad Fulki Fadhillah; Saro Lee; Chang-Wook Lee; Yu-Chul Park (Remote. Sens., 2021)

Remote Sensing and Geoscience Information Systems Applied to Groundwater Research. - Hyung-Sup Jung; Saro Lee (Remote. Sens., 2021)

Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility. - Ru Liu; Jianbing Peng; Yanqiu Leng; Saro Lee; Mahdi Panahi; Wei Chen 051; Xia Zhao (Remote. Sens., 2021)

Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine. - Hamid Reza Pourghasemi; Mahdis Amiri; Mohsen Edalat; Amir Hossein Ahrari; Mahdi Panahi; Nitheshnirmal Sadhasivam; Saro Lee (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides. - Abolfazl Jaafari; Mahdi Panahi; Davood Mafi Gholami; Omid Rahmati; Himan Shahabi; Ataollah Shirzadi; Saro Lee; Dieu Tien Bui; Biswajeet Pradhan (Appl. Soft Comput., 2022)

An explainable AI (XAI) model for landslide susceptibility modeling. - Biswajeet Pradhan; Abhirup Dikshit; Saro Lee; Hyesu Kim (Appl. Soft Comput., 2023)

Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i. - Fatemeh Rezaie; Mahdi Panahi; Sayed M. Bateni; Saro Lee; Changhyun Jun 001; Clay Trauernicht; Christopher M. U. Neale (Eng. Appl. Artif. Intell., 2023)

Comparison of Novel Hybrid and Benchmark Machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia. - Fatma Trabelsi; Salsebil Bel Hadj Ali; Saro Lee (Remote. Sens., 2023)