Seyit Ahmet Camtepe

Artificial Intelligence · 2004–2022

A researcher in the Science corpus: 6 papers; trusts 50 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it; #28,038 of 35,345 by trust here, #26,682 by citations
• Computer Networks and Communications — 36 citations into it; #2,793 of 9,886 by trust here, #4,277 by citations
• Software — 33 citations into it
• Signal Processing — 31 citations into it
• Information Systems — 20 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Federated & Distributed Learning — 14 citations into it
• Privacy & Security — 11 citations into it

Whom Seyit Ahmet Camtepe trusts overall

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

1. Donggang Liu
2. Wenliang Du
3. Sencun Zhu
4. Haowen Chan
5. Peng Ning
6. Jing Deng
7. Adrian Perrig
8. Dan Boneh
9. Yi Zou
10. Bülent Yener

Who trusts Seyit Ahmet Camtepe overall

1. Bülent Yener
2. Yinhai Wang
3. Babak Azimi-Sadjadi
4. Rodrigo Roman
5. Junqi Zhang
6. Garhan Attebury
7. Jean-Pierre Hubaux
8. Jaydip Sen
9. Aggelos Kiayias
10. Cristina Alcaraz

Papers from Seyit Ahmet Camtepe's perspective

Ordered by how strongly the researchers Seyit Ahmet Camtepe 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things (2020) — 244 citations
• SplitFed: When Federated Learning Meets Split Learning (2020) — 923 citations
• Fuzzing: A Survey for Roadmap (2022) — 345 citations
• An Android Application Sandbox system for suspicious software detection (2010) — 535 citations
• Key distribution mechanisms for wireless sensor networks : a survey (2005) — 514 citations
• Combinatorial Design of Key Distribution Mechanisms for Wireless Sensor Networks (2004) — 520 citations