Pedro Miguel S'anchez S'anchez

Computer Networks and Communications · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 30 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Pedro Miguel S'anchez S'anchez trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Li Deng
4. Jure Leskovec
5. Wei Shi
6. Yoshua Bengio
7. Djork-Arné Clevert
8. Alec Go
9. Anutusha Dogra
10. Yann LeCun

Papers from Pedro Miguel S'anchez S'anchez's perspective

Ordered by how strongly the researchers Pedro Miguel S'anchez S'anchez 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges (2022) — 522 citations
• Federated Learning for Malware Detection in IoT Devices (2021) — 381 citations