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Saro Lee
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2020 – today
- 2023
- [j33]Biswajeet Pradhan
, Abhirup Dikshit
An explainable AI (XAI) model for landslide susceptibility modeling. Appl. Soft Comput. 142: 110324 (2023) - [j32]Fatemeh Rezaie
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i. Eng. Appl. Artif. Intell. 125: 106699 (2023) - [j31]Fatma Trabelsi
Comparison of Novel Hybrid and Benchmark Machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia. Remote. Sens. 15(1): 152 (2023) - 2022
- [j30]Abolfazl Jaafari, Mahdi Panahi, Davood Mafi Gholami, Omid Rahmati, Himan Shahabi
Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides. Appl. Soft Comput. 116: 108254 (2022) - 2021
- [j29]Muhammad Fulki Fadhillah
Application of Support Vector Regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea. Remote. Sens. 13(6): 1196 (2021) - [j28]Hyung-Sup Jung
Remote Sensing and Geoscience Information Systems Applied to Groundwater Research. Remote. Sens. 13(11): 2086 (2021) - [j27]Ru Liu, Jianbing Peng, Yanqiu Leng, Saro Lee
Hybrids of Support Vector Regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility. Remote. Sens. 13(24): 4966 (2021) - [j26]Hamid Reza Pourghasemi, Mahdis Amiri, Mohsen Edalat, Amir Hossein Ahrari, Mahdi Panahi
Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1923-1937 (2021) - [c6]Fatemeh Rezaie
Utilizing the SAR, GIS, and Novel Hybrid Metaheuristic-GMDH Algorithm for Flood Susceptibility Mapping. IGARSS 2021: 8612-8615 - 2020
- [j25]Azam Kadirhodjaev, Fatemeh Rezaie
Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model. ISPRS Int. J. Geo Inf. 9(10): 566 (2020) - [j24]Alireza Arabameri
Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran). Remote. Sens. 12(3): 490 (2020) - [j23]Sunmin Lee
Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques. Remote. Sens. 12(7): 1200 (2020) - [j22]Alireza Arabameri
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility. Remote. Sens. 12(17): 2833 (2020) - [j21]Paramita Roy, Subodh Chandra Pal
Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility. Remote. Sens. 12(20): 3284 (2020) - [j20]Alireza Arabameri
Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility. Remote. Sens. 12(20): 3389 (2020) - [j19]Subodh Chandra Pal
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility. Remote. Sens. 12(22): 3675 (2020)
2010 – 2019
- 2019
- [j18]Hamed Javdanian, Saro Lee
Evaluating unconfined compressive strength of cohesive soils stabilized with geopolymer: a computational intelligence approach. Eng. Comput. 35(1): 191-199 (2019) - [j17]Dieu Tien Bui
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. Remote. Sens. 11(1): 57 (2019) - [j16]Dieu Tien Bui
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm. Remote. Sens. 11(8): 931 (2019) - [j15]Omid Rahmati
An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping. Remote. Sens. 11(11): 1375 (2019) - [j14]Dieu Tien Bui, Khabat Khosravi
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. Remote. Sens. 11(13): 1589 (2019) - [j13]Jeong-Cheol Kim
Spatial Mapping of the Groundwater Potential of the Geum River Basin Using Ensemble Models Based on Remote Sensing Images. Remote. Sens. 11(19): 2285 (2019) - [j12]Dieu Tien Bui
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran). Sensors 19(11): 2444 (2019) - 2018
- [j11]Hyung-Sup Jung
Sensor Technologies and Methods for Geoinformatics and Remote Sensing. J. Sensors 2018: 3816727:1-3816727:2 (2018) - [j10]Prima Riza Kadavi, Chang-Wook Lee
Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping. Remote. Sens. 10(8): 1252 (2018) - [j9]Dieu Tien Bui
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote. Sens. 10(10): 1538 (2018) - [j8]Sungjae Park
Landslide Susceptibility Mapping and Comparison Using Decision Tree Models: A Case Study of Jumunjin Area, Korea. Remote. Sens. 10(10): 1545 (2018) - [j7]Dieu Tien Bui
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms. Sensors 18(8): 2464 (2018) - 2017
- [j6]Hyun-Joo Oh, Saro Lee
Landslide Susceptibility Assessment Using Frequency Ratio Technique with Iterative Random Sampling. J. Sensors 2017: 3730913:1-3730913:21 (2017) - 2012
- [j5]Omar F. Althuwaynee
Application of an evidential belief function model in landslide susceptibility mapping. Comput. Geosci. 44: 120-135 (2012) - [j4]Inhye Park, Jaewon Choi, Moung Jin Lee, Saro Lee
Application of an adaptive neuro-fuzzy inference system to ground subsidence hazard mapping. Comput. Geosci. 48: 228-238 (2012) - 2011
- [c5]Saro Lee
Landslide hazard mapping using geospatial models. COM.Geo 2011: 34:1-34:5 - [c4]Saro Lee
Integration of mineral potential maps from various geospatial models. COM.Geo 2011: 52:1-52:2 - 2010
- [j3]Biswajeet Pradhan
Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environ. Model. Softw. 25(6): 747-759 (2010) - [j2]Biswajeet Pradhan
A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses. Comput. Environ. Urban Syst. 34(3): 216-235 (2010)
2000 – 2009
- 2006
- [c3]Saro Lee
Ground Subsidence Hazard Analysis in an Abandoned Underground Coal Mine Area using Probabisltic and Logistic Regression Models. IGARSS 2006: 1549-1552 - [c2]Saro Lee
Mineral Potential Assessment of Sedimentary Deposit using Frequency Ratio and Logistic Regression of Gangreung Area, Korea. IGARSS 2006: 1576-1579 - 2004
- [j1]Saro Lee
Landslide susceptibility mapping using GIS and the weight-of-evidence model. Int. J. Geogr. Inf. Sci. 18(8): 789-814 (2004) - 2002
- [c1]Saro Lee, J. Choi, U. Chwae, B. Chang:
Landslide susceptibility analysis using weight of evidence. IGARSS 2002: 2865-2867
Coauthor Index
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