Takip et
Alihan Teke
Alihan Teke
Research Assistant at Geomatics Engineering, Gebze Technical University
gtu.edu.tr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural …
T Kavzoglu, A Teke
Arabian Journal for Science and Engineering 47 (6), 7367–7385, 2022
1172022
Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
T Kavzoglu, A Teke
Bulletin of Engineering Geology and the Environment 81 (5), 201, 2022
402022
Shared blocks-based ensemble deep learning for shallow landslide susceptibility mapping
T Kavzoglu, A Teke, EO Yilmaz
Remote Sensing 13 (23), 4776, 2021
362021
Comparison of Support Vector Machines, Random Forest and Decision Tree Methods for Classification of Sentinel-2A Image Using Different Band Combinations
T Kavzoglu, F Bilucan, A Teke
ACRS’2020, 2020
152020
Comparative assessment of deep learning and machine learning learning models in shallow landslide susceptibility
A Teke, EO Yilmaz, T Kavzoglu
International Symposium on Applied Geoinformatics, 2021
82021
Performance Evaluation of Depthwise Separable CNN and Random Forest Algorithms for Landslide Susceptibility Prediction
EO Yilmaz, A Teke, T Kavzoglu
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
42022
Determination of Effective Predisposing Factors Using Random Forest-Based Gini Index in Landslide Susceptibility Mapping
A Teke, T Kavzoglu
Intercontinental Geoinformation Days, 2021
42021
Effectiveness of machine learning algorithms in landslide susceptibility mapping: A case study of Trabzon Province, Turkey
T Kavzoglu, A Teke, F Bilucan
Asian Conference on Remote Sensing (ACRS), 2020
32020
Explainable artificial intelligence empowered landslide susceptibility mapping using Extreme Gradient Boosting (XGBoost)
A Teke, T Kavzoglu
The proceedings of the 6th Advanced Engineering Days, 74, 2023
22023
Ensemble Conditioning Factor Selection with Markov Chain Framework for Shallow Landslide Susceptibility Mapping in Lake Sapanca Basin and its Vicinity, Turkey
T Kavzoglu, A Teke
Baltic Journal of Modern Computing 10 (2), 224-240, 2022
22022
Explainable Artificial Intelligence to Explore Intrinsic Characteristics of Factors Controlling Landslide Susceptibility: Opening the Black-Box
T Kavzoglu, A Teke
Available at SSRN 4378239, 2023
12023
Spatially Aware Landslide Susceptibility Prediction Using a Geographical Random Forest Approach
A Teke, T Kavzoglu
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2024
2024
Susceptibility Mapping of Wildfires Using XGBoost, Random Forest and AdaBoost: A Case Study of Mediterranean Ecosystem
TK F Bilucan, A Teke
Mediterranean Geosciences Union Annual Meeting 2022 (MedGU’2022), 2022
2022
Applications of Ensemble Learning Paradigm and Advanced Hyperparameter Optimization Techniques in Landslide Susceptibility Mapping
A Teke
Gebze Technical University, Graduate School of Natural and Applied Sciences …, 2022
2022
Applications of Ensemble Learning Paradigm and Advanced Hyperparameter Optimization Techniques in Landslide Susceptibility Mapping
A Teke
Graduate School of Natural and Applied Sciences, Gebze Technical University …, 2022
2022
A Markov Chain Framework for Ensemble Conditioning Factor Selection in Landslide Susceptibility Zonation
A Teke, T Kavzoglu
INTERNATIONAL SYMPOSIUM ON APPLIED GEOINFORMATICS (ISAG2021), 2021
2021
Comparative Assessment of Deep Learning and Machine Learning Models in Shallow Landslide Susceptibility Zonation
A Teke, EO Yilmaz, T Kavzoglu
INTERNATIONAL SYMPOSIUM ON APPLIED GEOINFORMATICS (ISAG2021), 2021
2021
Effectiveness of Different Machine Learning Algorithms in Landslide Susceptibility Mapping: A Case Study of Trabzon Province, Turkey
T Kavzoglu, A Teke, F Bilucan
ACRS’2020, 2020
2020
TOPLULUK TABANLI MAKİNE ÖĞRENMESİ ALGORİTMALARI İLE ORMAN YANGINI DUYARLILIK HARİTALAMASI: HATAY ÖRNEĞİ
F BİLÜCAN, A TEKE, T KAVZOĞLU
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–19