Ferat Sahin

Control and Systems Engineering · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 23 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it; #6,038 of 21,575 by trust here, #7,092 by citations
• Artificial Intelligence — 16 citations into it; #8,412 of 35,345 by trust here, #10,065 by citations
• Biomedical Engineering — 11 citations into it
• Molecular Biology — 10 citations into it
• Human-Computer Interaction — 8 citations into it
• Robotics & Control — 7 citations into it

Whom Ferat Sahin trusts overall

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

1. Chih-Jen Lin
2. Isabelle M Guyon
3. David E. Goldberg
4. Kari Torkkola
5. Franccois Fleuret
6. George Forman
7. Hanchuan Peng
8. Chris H. Q. Ding
9. Ron Kohavi
10. Anil K. Jain

Who trusts Ferat Sahin overall

1. Aytuğ Onan
2. Chaouki Khammassi
3. Lida Xu
4. Tansel Dökeroğlu
5. Shenkai Gu
6. Philip Adler
7. Xuelian Deng
8. Cemal Okan Sakar
9. Klas Leino
10. Ryan J. Urbanowicz

Papers from Ferat Sahin's perspective

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

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

Their papers

• Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network (2019) — 399 citations
• A survey on feature selection methods (2014) — 4,798 citations