| 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 | 834 | 2009 |
| Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression T Kavzoglu, EK Sahin, I Colkesen Landslides 11, 425-439, 2014 | 622 | 2014 |
| Destek vektör makineleri ile uydu görüntülerinin sınıflandırılmasında kernel fonksiyonlarının etkilerinin incelenmesi T Kavzoğlu, İ Çölkesen Harita Dergisi 144 (7), 73-82, 2010 | 201 | 2010 |
| Susceptibility Mapping of Shallow Landslides Using Kernel-Based Gaussian Process, Support Vector Machines and Logistic Regression I Colkesen, EK Sahin, T Kavzoglu Journal of African Earth Sciences 118 (2016), 53-64, 2016 | 184 | 2016 |
| Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm T Kavzoglu, EK Sahin, I Colkesen Engineering Geology 192, 101-112, 2015 | 178 | 2015 |
| 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, 471-496, 2015 | 149 | 2015 |
| Machine learning techniques in landslide susceptibility mapping: a survey and a case study T Kavzoglu, I Colkesen, EK Sahin Landslides: Theory, practice and modelling, 283-301, 2019 | 146 | 2019 |
| A comparative assessment of canonical correlation forest, random forest, rotation forest and logistic regression methods for landslide susceptibility mapping EK Sahin, I Colkesen, T Kavzoglu Geocarto International 35 (4), 341-363, 2020 | 111 | 2020 |
| Monitoring the changing position of coastlines using aerial and satellite image data: an example from the eastern coast of Trabzon, Turkey FA Sesli, F Karsli, I Colkesen, N Akyol Environmental Monitoring and Assessment 153, 391-403, 2009 | 91 | 2009 |
| An assessment of the effectiveness of a rotation forest ensemble for land-use and land-cover mapping T Kavzoglu, I Colkesen International journal of remote sensing 34 (12), 4224-4241, 2013 | 84 | 2013 |
| Karar ağaçları ile uydu görüntülerinin sınıflandırılması T Kavzoğlu, İ Çölkesen Harita Teknolojileri Elektronik Dergisi 2 (1), 36-45, 2010 | 82 | 2010 |
| Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image T Kavzoglu, C Ismail, Y Tahsin REMOTE SENSING LETTERS 6 (11), 834-843, 2015 | 76 | 2015 |
| Performance analysis of advanced decision tree-based ensemble learning algorithms for landslide susceptibility mapping E Kutlug Sahin, I Colkesen Geocarto International 36 (11), 1253-1275, 2021 | 64 | 2021 |
| Ensemble-based canonical correlation forest (CCF) for land use and land cover classification using sentinel-2 and Landsat OLI imagery I Colkesen, T Kavzoglu Remote Sensing Letters 8 (11), 1082-1091, 2017 | 64 | 2017 |
| Developing comprehensive geocomputation tools for landslide susceptibility mapping: LSM tool pack EK Sahin, I Colkesen, SS Acmali, A Akgun, AC Aydinoglu Computers & geosciences 144, 104592, 2020 | 58 | 2020 |
| The use of logistic model tree (LMT) for pixel-and object-based classifications using high-resolution WorldView-2 imagery I Colkesen, T Kavzoglu Geocarto International 32, 71-86, 2017 | 58 | 2017 |
| Uzaktan Algılama Teknolojileri ve Uygulama Alanları T Kavzoğlu, İ Çölkesen Türkiye’de Sürdürülebilir Arazi Yönetimi Çalıştayı (26-27 Mayıs), Editörler …, 2012 | 52 | 2012 |
| Uzaktan algılamada ileri sınıflandırma tekniklerinin karşılaştırılması ve analizi ismail çölkesen Gebze Yüksek Teknoloji Enstitüsü, 2009 | 51 | 2009 |
| Implementing a mass valuation application on interoperable land valuation data model designed as an extension of the national GDI AC Aydinoglu, R Bovkir, I Colkesen Survey review 53 (379), 349-365, 2021 | 33 | 2021 |
| Yüksek Çözünürlüklü Uydu Görüntüleri Kullanarak Benzer Spektral Özelliklere Sahip Doğal Nesnelerin Ayırt Edilmesine Yönelik Bir Metodoloji Geliştirme İ Çölkesen İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2015 | 33 | 2015 |
