Federico Castanedo

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #7,849 of 35,345 by trust here, #20,377 by citations
• Computer Networks and Communications — 5 citations into it

Whom Federico Castanedo trusts overall

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

1. Jeffrey K. Uhlmann
2. Arthur P. Dempster
3. Mark J. Coates
4. Yair Weiss
5. Daphne Koller
6. D. Crisan
7. Peter A. Flach
8. H. F. Durrant-Whyte
9. Saurabh Ganeriwal
10. William T. Freeman

Who trusts Federico Castanedo overall

1. Arief Barkah Koesdwiady
2. Aleksandr Ometov
3. Eduardo Arnold
4. Billy Pik Lik Lau
5. Ridha Soua
6. Mehrdad Dianati
7. S. Bezzateev
8. Marakkalage Sumudu Hasala
9. F. Karray
10. Sören Richard Stahlschmidt

Papers from Federico Castanedo's perspective

Ordered by how strongly the researchers Federico Castanedo 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. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. ImageNet classification with deep convolutional neural networks
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Review of Data Fusion Techniques (2013) — 952 citations