Saro Lee

Management, Monitoring, Policy and Law · 2001–2022

A researcher in the Science corpus: 22 papers; trusts 18 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 139 citations into it; #71 of 2,821 by trust here, #106 by citations
• Global and Planetary Change — 124 citations into it; #2,303 of 10,225 by trust here, #1,759 by citations
• Mechanical Engineering — 61 citations into it; #490 of 8,300 by trust here, #2,472 by citations
• Safety, Risk, Reliability and Quality — 48 citations into it; #30 of 1,220 by trust here, #41 by citations
• Artificial Intelligence — 46 citations into it
• Atmospheric Science — 21 citations into it
• Environmental Engineering — 21 citations into it
• Soil Science — 14 citations into it

Whom Saro Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Biswajeet Pradhan
2. C. Baeza
3. Candan Gokceoglu
4. Peter M. Atkinson
5. Vladimir Naumovich Vapnik
6. S. Beguerı́a
7. Gavin C. Cawley
8. Fausto Guzzetti
9. Taskin Kavzoglu
10. Hakan Ahmet Nefeslioglu

Who trusts Saro Lee overall

1. Biswajeet Pradhan
2. Hamid Reza Pourghasemi
3. Wei Chen
4. Qiqing Wang
5. Binh Thai Pham
6. T. Gorum
7. Leulalem Shano
8. Moung-Jin Lee
9. D. Tien Bui
10. Wenping Li

Papers from Saro Lee's perspective

Ordered by how strongly the researchers Saro Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
2. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
3. Statistical analysis of landslide susceptibility at Yongin, Korea
4. Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
7. Implementation of reconstructed geomorphologic units in landslide susceptibility mapping: the Melen Gorge (NW Turkey)
8. An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina; Perugia, Italy)
9. An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
10. A procedure for landslide susceptibility zonation by the conditional analysis method

Their papers

• Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates (2022) — 46 citations
• Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer (2021) — 180 citations
• Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms (2021) — 168 citations
• Flood spatial prediction modeling using a hybrid of meta-optimization and support vector regression modeling (2021) — 75 citations
• Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment (2020) — 321 citations
• Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran (2020) — 108 citations
• An ensemble model for landslide susceptibility mapping in a forested area (2020) — 74 citations
• New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed (2019) — 114 citations
• Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms (2018) — 116 citations
• A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea (2017) — 166 citations
• Application of an evidential belief function model in landslide susceptibility mapping (2012) — 351 citations
• Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS (2012) — 303 citations
• Ensemble-based landslide susceptibility maps in Jinbu area, Korea (2012) — 92 citations
• Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia (2010)
• Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models (2010)
• Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea (2010) — 96 citations
• Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (2010) — 918 citations
• Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping (2009)
• Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models (2007)
• Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data (2005)