Steve R. Gunn
Artificial Intelligence · 2002–2006
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #21,039 of 35,345 by trust here, #26,682 by citations
- Statistical Learning Theory — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Steve R. Gunn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- David John Cameron MacKay
- Grace Wahba
- Dustin Boswell
- J. Ross Quinlan
- David E. Heckerman
- Federico Girosi
- Bernhard Schölkopf
- Christopher K. I. Williams
- Leo Breiman
Who trusts Steve R. Gunn overall
- Tim Hesterberg
- Yi Lin
- Jun Liu
- Cyrille W. Combettes
- Nam-Hee Choi
- Weiwei Sun
- Jonathan Cheung-Wai Chan
- Alexander R. Statnikov
- Jinhyun So
- Isabelle M Guyon
Papers from Steve R. Gunn's perspective
Ordered by how strongly the researchers Steve R. Gunn trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Statistical Learning Theory
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Neural Networks for Pattern Recognition
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Band Selection for Hyperspectral Image Classification Using Mutual Information (2006) — 402 citations
- Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing) (2006) — 699 citations
- Result Analysis of the NIPS 2003 Feature Selection Challenge (2004) — 724 citations
- Structural Modelling with Sparse Kernels (2002) — 104 citations