Bor-Chen Kuo
Media Technology · 2004–2021
A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Media Technology — 33 citations into it; #899 of 3,621 by trust here, #1,206 by citations
- Artificial Intelligence — 31 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Atmospheric Science — 18 citations into it; #4,392 of 4,804 by trust here, #2,536 by citations
- Analytical Chemistry — 12 citations into it; #262 of 1,254 by trust here, #478 by citations
- Ecology — 8 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Bor-Chen Kuo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ludmila I. Kuncheva
- Chih-Wei Hsu
- Eric R. Ziegel
- Aixia Guo
- Jon Atli Benediktsson
- David A. Landgrebe
- Chih-Jen Lin
- Pabitra Mitra
- Isabelle M Guyon
- Nirmal Keshava
Who trusts Bor-Chen Kuo overall
- Vipin Kumar
- Xiuping Jia
- Tatyana V. Bandos Marsheva
- Pedram Ghamisi
- Weiwei Sun
- Ava Vali
- Sonajharia Minz
- Qichao Liu
- Lorenzo Bruzzone
- Mohammadreza Sheykhmousa
Papers from Bor-Chen Kuo's perspective
Ordered by how strongly the researchers Bor-Chen Kuo 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)
- Gradient-based learning applied to document recognition
- The Nature of Statistical Learning Theory
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
Their papers
- Nonparametric weighted feature extraction for classification (2004) — 449 citations
- A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification (2014) — 369 citations
- An application of Chinese dialogue-based intelligent tutoring system in remedial instruction for mathematics learning (2021) — 61 citations
- Feature Mining for Hyperspectral Image Classification (2013) — 370 citations