Taskin Kavzoglu

Management, Monitoring, Policy and Law · 2003–2018

A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Management, Monitoring, Policy and Law — 24 citations into it; #365 of 2,821 by trust here, #357 by citations
• Artificial Intelligence — 15 citations into it; #35,265 of 35,345 by trust here, #21,878 by citations
• Safety, Risk, Reliability and Quality — 15 citations into it; #159 of 1,220 by trust here, #99 by citations
• Global and Planetary Change — 14 citations into it; #2,520 of 10,225 by trust here, #3,676 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Atmospheric Science — 9 citations into it; #2,100 of 4,804 by trust here, #2,779 by citations
• Mechanical Engineering — 9 citations into it; #4,427 of 8,300 by trust here, #4,521 by citations
• Media Technology — 9 citations into it; #1,749 of 3,621 by trust here, #1,079 by citations

Whom Taskin Kavzoglu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Biswajeet Pradhan
2. Isik Yilmaz
3. J. Ross Quinlan
4. Alexander Brenning
5. Niko Speybroeck
6. Alex Smola
7. Mehmet Lütfi Süzen
8. Hakan Ahmet Nefeslioglu
9. Candan Gokceoglu
10. Saro Lee

Who trusts Taskin Kavzoglu overall

1. E. Kutlug Sahin
2. Biswajeet Pradhan
3. Ismail Colkesen
4. Binh Thai Pham
5. Hamid Reza Pourghasemi
6. D. Tien Bui
7. Qiqing Wang
8. Renguang Zuo
9. Isik Yilmaz
10. Leulalem Shano

Papers from Taskin Kavzoglu's perspective

Ordered by how strongly the researchers Taskin Kavzoglu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A comparative assessment of canonical correlation forest, random forest, rotation forest and logistic regression methods for landslide susceptibility mapping (2018) — 139 citations
• An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district (2015) — 156 citations
• Selecting optimal conditioning factors in shallow translational landslide susceptibility mapping using genetic algorithm (2015) — 195 citations
• Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (2014) — 640 citations
• A kernel functions analysis for support vector machines for land cover classification (2009) — 707 citations
• Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela (2005)
• The use of backpropagating artificial neural networks in land cover classification (2003) — 434 citations