Rung Ching Chen

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Rung Ching Chen trusts overall

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

1. Vladimir Naumovich Vapni
2. Chih-Jen Lin
3. Mark R. Segal
4. Ian T. Jolliffe
5. James A. Hanley
6. Andy Liaw
7. Ramón Díaz-Uriarte
8. Jiancang Zhuang
9. Isabelle M Guyon
10. Ş. Ertekin

Who trusts Rung Ching Chen overall

1. Monowar Hussain Bhuyan
2. Dhruba Kumar Bhattacharyya

Papers from Rung Ching Chen's perspective

Ordered by how strongly the researchers Rung Ching Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. The Nature of Statistical Learning Theory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. LIBSVM: A library for support vector machines
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Selecting critical features for data classification based on machine learning methods (2020) — 827 citations
• Impact of COVID-19 large scale restriction on environment and economy in Indonesia (2020) — 149 citations
• Using Rough Set and Support Vector Machine for Network Intrusion Detection System (2009) — 173 citations