Richard Jensen
Artificial Intelligence · IEEE transactions on fuzzy systems · 2004–2009
A researcher in the Science corpus: 5 papers; trusts 53 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Computational Theory and Mathematics — 36 citations into it; #917 of 12,182 by trust here, #1,748 by citations
- Information Systems — 17 citations into it; #568 of 8,771 by trust here, #1,625 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Algorithms & Complexity — 9 citations into it
- Statistical Learning Theory — 9 citations into it
- Statistics and Probability — 9 citations into it
Whom Richard Jensen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Qiang Shen
- William W. Cohen
- Gerard A. Salton
- Aleksander Øhrn
- Manoranjan Dash
- Alexios Chouchoulas
- Eibe Frank
- Huan Liu
- Bernard Walter Silverman
Who trusts Richard Jensen overall
- Qiang Shen
- Qinghua Hu
- Jianhua Dai
- Kai Keng Ang
- Ren-hong Diao
- Daren Yu
- Pradipta Maji
- Qing Xu
- Kuttiannan Thangavel
- Y. Qian
Papers from Richard Jensen's perspective
Ordered by how strongly the researchers Richard Jensen trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Feature selection based on rough sets and particle swarm optimization (2007) — 874 citations
- Semantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches (2004) — 696 citations
- Fuzzy-Rough Sets Assisted Attribute Selection (2007) — 441 citations
- New Approaches to Fuzzy-Rough Feature Selection (2009) — 566 citations
- Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches (2008) — 349 citations