Karl Granström

Artificial Intelligence · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Networks and Communications — 13 citations into it
• Aerospace Engineering — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Civil and Structural Engineering — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Karl Granström trusts overall

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

1. Ronald P. S. Mahler
2. B. Vo
3. Johannes Koch
4. Radford M. Neal
5. Michael Feldmann
6. Dominic Schuhmacher
7. Ba-Ngu Vo
8. Simon Justin Julier
9. X. Rong Li
10. Dietrich Fränken

Papers from Karl Granström's perspective

Ordered by how strongly the researchers Karl Granström 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. Gradient-based learning applied to document recognition
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Extended Object Tracking: Introduction, Overview and Applications (2016) — 432 citations
• A phd Filter for Tracking Multiple Extended Targets Using Random Matrices (2012) — 324 citations