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Sahin, Emrehan Kutlug, Ipbuker, Cengizhan, Kavzoglu, Taskin (2015) A Comparison of Feature and Expert-based Weighting Algorithms in Landslide Susceptibility Mapping. Procedia Earth and Planetary Science, 15. 462-467 doi:10.1016/j.proeps.2015.08.043

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Reference TypeJournal (article/letter/editorial)
TitleA Comparison of Feature and Expert-based Weighting Algorithms in Landslide Susceptibility Mapping
JournalProcedia Earth and Planetary Science
AuthorsSahin, Emrehan KutlugAuthor
Ipbuker, CengizhanAuthor
Kavzoglu, TaskinAuthor
Year2015Volume15
PublisherElsevier BV
DOIdoi:10.1016/j.proeps.2015.08.043Search in ResearchGate
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Mindat Ref. ID545206Long-form Identifiermindat:1:5:545206:8
GUID0
Full ReferenceSahin, Emrehan Kutlug, Ipbuker, Cengizhan, Kavzoglu, Taskin (2015) A Comparison of Feature and Expert-based Weighting Algorithms in Landslide Susceptibility Mapping. Procedia Earth and Planetary Science, 15. 462-467 doi:10.1016/j.proeps.2015.08.043
Plain TextSahin, Emrehan Kutlug, Ipbuker, Cengizhan, Kavzoglu, Taskin (2015) A Comparison of Feature and Expert-based Weighting Algorithms in Landslide Susceptibility Mapping. Procedia Earth and Planetary Science, 15. 462-467 doi:10.1016/j.proeps.2015.08.043
In(2015) Procedia Earth and Planetary Science Vol. 15. Elsevier BV

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Kavzoglu, Taskin, Kutlug Sahin, Emrehan, Colkesen, Ismail (2015) Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm. Engineering Geology, 192. 101-112 doi:10.1016/j.enggeo.2015.04.004
Kavzoglu, Taskin, Kutlug Sahin, Emrehan, Colkesen, Ismail (2015) An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district. Natural Hazards, 76. 471-496 doi:10.1007/s11069-014-1506-8
Colkesen, Ismail, Sahin, Emrehan Kutlug, Kavzoglu, Taskin (2016) Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression. Journal of African Earth Sciences, 118. 53-64 doi:10.1016/j.jafrearsci.2016.02.019
Sahin, Emrehan Kutlug (2023) Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost. Stochastic Environmental Research and Risk Assessment, 37 (3) 1067-1092 doi:10.1007/s00477-022-02330-y
Sahin, Emrehan Kutlug, Colkesen, Ismail, Acmali, Suheda Semih, Akgun, Aykut, Aydinoglu, Arif Cagdas (2020) Developing comprehensive geocomputation tools for landslide susceptibility mapping: LSM tool pack. Computers & Geosciences, 144. 104592pp. doi:10.1016/j.cageo.2020.104592
Ozdemir, Adnan (2015) Sinkhole Susceptibility Mapping Using a Frequency Ratio Method and GIS Technology Near Karapınar, Konya-Turkey. Procedia Earth and Planetary Science, 15. 502-506 doi:10.1016/j.proeps.2015.08.059
Teke, Alihan, Kavzoglu, Taskin (2024) Exploring the decision-making process of ensemble learning algorithms in landslide susceptibility mapping: Insights from local and global explainable AI analyses. Advances in Space Research, 74 (8). doi:10.1016/j.asr.2024.06.082
Hong, Haoyuan, Xu, Chong, Bui, Dieu Tien (2015) Landslide Susceptibility Assessment at the Xiushui Area (China) Using Frequency Ratio Model. Procedia Earth and Planetary Science, 15. 513-517 doi:10.1016/j.proeps.2015.08.065
Sahin, Emrehan Kutlug; Demir, Selçuk; Ozturk, Mert; Duzce, Mehmet Serhan (2026) Geoscience in the era of generative artificial intelligence (Geo[AI]-LSM): understanding the potential benefits of Google Gemini in producing landslide susceptibility mapping. Advances in Space Research, 77 (3). doi:10.1016/j.asr.2025.11.048
Sahin, Emrehan Kutlug (2025) FastLSM-AutoML: Fast, reliable, and robust end-to-end AutoML tool for producing a landslide susceptibility map. Stochastic Environmental Research and Risk Assessment, 39 (10). doi:10.1007/s00477-024-02855-4
Kavzoglu, Taskin, Teke, Alihan, Yilmaz, Elif Ozlem (2021) Shared Blocks-Based Ensemble Deep Learning for Shallow Landslide Susceptibility Mapping. Remote Sensing, 13 (23). doi:10.3390/rs13234776
 
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