Bo-Suk Yang
Control and Systems Engineering · 2000–2011
A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 20 citations into it; #574 of 8,257 by trust here, #549 by citations
- Artificial Intelligence — 18 citations into it
- Analytical Chemistry — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Statistical Learning Theory — 8 citations into it
- Optimization & Training — 8 citations into it
- Signal Processing — 8 citations into it; #2,297 of 7,572 by trust here, #2,990 by citations
- Mechanical Engineering — 6 citations into it; #6,796 of 8,300 by trust here, #6,077 by citations
Whom Bo-Suk Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Wei Hsu
- Vladimir Naumovich Vapnik
- Aapo Hyvärinen
- Vladimir Naumovich Vapni
- Chih-Jen Lin
- Francis R. Bach
- Nello Cristianini
- Achmad Widodo
- Chengjun Liu
- Lindsay B. Jack
Who trusts Bo-Suk Yang overall
- Achmad Widodo
- Zuyu Yin
- Aras Masood Ismael
- Jianping Ma
- Abdulhamit Subasi
- Jiedi Sun
- Haixi Wu
- Linxia Liao
- Hadi Banaee
- Rosmaini Ahmad
Papers from Bo-Suk Yang's perspective
Ordered by how strongly the researchers Bo-Suk Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Gradient-based learning applied to document recognition
- 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)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- 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)
- ImageNet: A large-scale hierarchical image database
Their papers
- Support vector machine in machine condition monitoring and fault diagnosis (2007) — 1,575 citations
- Intelligent prognostics for battery health monitoring based on sample entropy (2011) — 381 citations
- Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance (2010) — 273 citations
- Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference (2009) — 460 citations
- Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine (2009) — 318 citations
- Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors (2007) — 314 citations
- Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors (2007) — 312 citations
- Optimum Shape Design of Rotor Shafts Using Genetic Algorithm (2000) — 56 citations