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Selçuk Demir

Observed names: DEMİR, SELÇUK, Demir, Selçuk, S. Demir, Selcuk Demir, Selçuk DEMİR
ORCID: 0000-0003-2520-4395
Observed ORCID: 0000-0003-2520-4395
OpenAlex ID: A5013184454
An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost, gradient boosting, and XGBoost
2022 · Selçuk Demir, Emrehan Kutlug Sahin · Neural Computing and Applications · 227
Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost
2023 · Selçuk Demir, Emrehan Kutlug Sahin · Acta Geotechnica · 145
Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing
2022 · Selçuk Demir, Emrehan Kutluğ Şahin · Environmental Earth Sciences · 143
Comparison of tree-based machine learning algorithms for predicting liquefaction potential using canonical correlation forest, rotation forest, and random forest based on CPT data
2021 · Selcuk Demir, Emrehan Kutlug Sahin · Soil Dynamics and Earthquake Engineering · 91
Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential
2022 · Emrehan Kutlug Sahin, Selcuk Demir · Engineering Applications of Artificial Intelligence · 56
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
2024 · Selçuk Demir, Emrehan Kutlug Sahin · Stochastic Environmental Research and Risk Assessment · 49
Advanced tree-based machine learning methods for predicting the seismic response of regular and irregular RC frames
2024 · Ahmet Demir, Emrehan Kutlug Sahin, et al. · Structures · 37
Application of state-of-the-art machine learning algorithms for slope stability prediction by handling outliers of the dataset
2023 · Selçuk Demir, Emrehan Kutlug Sahin · Earth Science Informatics · 35
Evaluation of Oversampling Methods (OVER, SMOTE, and ROSE) in Classifying Soil Liquefaction Dataset based on SVM, RF, and Naïve Bayes
2022 · Selçuk DEMİR, Emrehan Kutluğ ŞAHİN · European Journal of Science and Technology · 33
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An innovative machine learning approach for slope stability prediction by combining shap interpretability and stacking ensemble learning
2025 · Selçuk Demir, Emrehan Kutlug Sahin · Environmental Science and Pollution Research · 20
Parametric investigation of effectiveness of high modulus columns in liquefaction mitigation
2020 · Selçuk Demir, Pelin Tohumcu Özener · Soil Dynamics and Earthquake Engineering · 17
Numerical investigation of seismic performance of high modulus columns under earthquake loading
2019 · Selçuk Demir, Pelin Özener · Earthquake Engineering and Engineering Vibration · 15
The Sustainable Design of Granular Columns Based on Laboratory Model Tests
2016 · Selçuk Demir, Farhad R. Mokarram, et al. · Geo-Chicago · 10
Assessing the predictive capability of DeepBoost machine learning algorithm powered by hyperparameter tuning methods for slope stability prediction
2023 · Selçuk Demir, Emrehan Kutlug Sahin · Environmental Earth Sciences · 9
Examining the Role of Liquefiable Layer Thickness and Depth on the Seismic Lateral Response of Piles through Numerical Analyses
2023 · Abdulmuttalip Ari, Selçuk Demir, et al. · International Journal of Geomechanics · 7
Numerical Investigation of the Effects of Ground Motion Characteristics on the Seismic Behavior of Liquefiable Soil
2022 · Selçuk Demir · Periodica Polytechnica Civil Engineering · 7
Assessment of Feature Selection for Liquefaction Prediction Based on Recursive Feature Elimination
2021 · Selçuk DEMİR, Emrehan Kutluğ ŞAHİN · European Journal of Science and Technology · 7
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CatGrass: a feature engineering framework to forecast the seismic response of low-rise RC frames using CatBoost algorithm integrated with grasshopper optimization
2025 · Ahmet Demir, Selçuk Demir, et al. · Neural Computing and Applications · 5
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Numerical assessment of the performance of different constitutive models used to predict liquefiable soil behavior
2021 · Selçuk DEMİR · International Advanced Researches and Engineering Journal · 5
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Experimental and Numerical Investigations of Behavior of Rammed Aggregate Piers
2017 · S. Demir, P. Özener, et al. · Geotechnical Testing Journal · 5
Random Forest Importance-Based Feature Ranking and Subset Selection for Slope Stability Assessment using the Ranger Implementation
2023 · Selçuk DEMİR, Emrehan Kutlug SAHİN · European Journal of Science and Technology · 4
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Sıvılaşmanın UBC3D-PLM Model ile Tahmin Edilmesi: Santrifüj Deneyi Örneği
2018 · Selçuk DEMİR, Pelin ÖZENER · Turkish Journal of Civil Engineering · 4
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Comparison of Seismic Performance of High Modulus Columns in Liquefiable Soils
2018 · Selçuk Demir, Pelin Özener · Geotechnical Earthquake Engineering and Soil Dynamics V · 4
Geoscience in the era of generative artificial intelligence (Geo[AI]-LSM): understanding the potential benefits of Google Gemini in producing landslide susceptibility mapping
2025 · Emrehan Kutlug Sahin, Selçuk Demir, et al. · Advances in Space Research · 3
Effect of Groundwater Level on Site Response Behavior of a One-layered Liquefiable Soil
2021 · Selçuk DEMİR · Mühendislik Bilimleri ve Tasarım Dergisi · 3
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Works count: 30
Citation count: 945
H-index: 12
I10-index: 13
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