Paul Yoo

Artificial Intelligence · 2005–2015

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it

Whom Paul Yoo trusts overall

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

1. Kyoung-jae Kim
2. Robi Polikar
3. Vladimir Naumovich Vapnik
4. Yuhai Wu
5. Eugene F. Fama
6. Marc-André Mittermayer
7. Richard Maclin
8. Russell Power
9. A. Hey
10. Manoranjan Dash

Who trusts Paul Yoo overall

1. Jafar Ahmad Abed Alzubi

Papers from Paul Yoo's perspective

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

1. A Fast Learning Algorithm for Deep Belief Nets
2. This PDF file includes: Materials and Methods
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Building high-level features using large scale unsupervised learning
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Representation Learning: A Review and New Perspectives

Their papers

• Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation (2005) — 122 citations
• Efficient Machine Learning for Big Data: A Review (2015) — 614 citations