ติดตาม
Taskin Kavzoglu
Taskin Kavzoglu
ชื่ออื่นๆTaşkın Kavzoğlu, Kavzoğlu, T., Kauzoğlu, T.
Professor of Geomatics Engineering, Gebze Technical University
ยืนยันอีเมลแล้วที่ gtu.edu.tr - หน้าแรก
ชื่อ
อ้างโดย
อ้างโดย
ปี
A kernel functions analysis for support vector machines for land cover classification
T Kavzoglu, I Colkesen
International Journal of Applied Earth Observation and Geoinformation 11 (5 …, 2009
8882009
Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression
T Kavzoglu, E Kutlug Sahin, I Colkesen
Landslides 11 (3), 425-439, 2014
7212014
Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
H Gomez, T Kavzoglu
Engineering Geology 78 (1), 11-27, 2005
6372005
The use of backpropagating artificial neural networks in land cover classification
T Kavzoglu, PM Mather
International journal of remote sensing 24 (23), 4907-4938, 2003
5882003
Increasing the accuracy of neural network classification using refined training data
T Kavzoglu
Environmental Modelling & Software 24 (7), 850-858, 2009
2722009
Investigation of the effects of kernel functions in satellite image classification using support vector machines
T Kavzoglu, I Colkesen
Harita Dergisi 144 (7), 73-82, 2010
240*2010
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, 7367–7385, 2022
2192022
Susceptibility Mapping of Shallow Landslides Using Kernel-Based Gaussian Process, Support Vector Machines and Logistic Regression
I Colkesen, E Kutlug Sahin, T Kavzoglu
Journal of African Earth Sciences 118 (2016), 53-64, 2016
2082016
Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm
T Kavzoglu, E Kutlug Sahin, I Colkesen
Engineering Geology 192, 101-112, 2015
2052015
Machine Learning Techniques in Landslide Susceptibility Mapping: A Survey and a Case Study
T Kavzoglu, I Colkesen, E Kutlug Sahin
Landslides: Theory, Practice and Modelling, 283-301, 2019
1762019
The role of feature selection in artificial neural network applications
T Kavzoglu, P Mather
International Journal of Remote Sensing 23 (15), 2919-2937, 2002
1632002
An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district
T Kavzoglu, E Kutlug Sahin, I Colkesen
Natural Hazards 76 (1), 471-496, 2015
1582015
Modelling local GPS/levelling geoid undulations using artificial neural networks
T Kavzoglu, MH Saka
Journal of Geodesy 78 (9), 520-527, 2005
1382005
A Comparative Assessment of Canonical Correlation Forest, Random Forest, Rotation Forest and Logistic Regression Methods for Landslide Susceptibility Mapping
E Kutlug Sahin, I Colkesen, T Kavzoglu
Geocarto International 35 (4), 341-363, 2020
1342020
An investigation of the design and use of feed-forward artificial neural networks in the classification of remotely sensed images
T Kavzoglu
University of Nottingham, 2001
1252001
Determining optimum structure for artificial neural networks
T Kavzoglu
Proceedings of the 25th Annual Technical Conference and Exhibition of the …, 1999
1111999
Parameter-based performance analysis of object-based image analysis using aerial and Quikbird-2 images
T Kavzoglu, M Yildiz
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2014
1062014
Pruning artificial neural networks: an example using land cover classification of multi-sensor images
T Kavzoglu, PM Mather
International Journal of Remote Sensing 20 (14), 2787-2803, 1999
1001999
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 (201), 1-22, 2022
942022
Object-Oriented Random Forest for High Resolution Land Cover Mapping Using Quickbird-2 Imagery
T Kavzoglu
Handbook of Neural Computation 33, 607-619, 2017
942017
ระบบไม่สามารถดำเนินการได้ในขณะนี้ โปรดลองใหม่อีกครั้งในภายหลัง
บทความ 1–20