Nicholas I. Sapankevych

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #16,893 of 35,345 by trust here, #18,186 by citations
• Management Science and Operations Research — 10 citations into it; #4,957 of 11,946 by trust here, #4,118 by citations
• Electrical and Electronic Engineering — 7 citations into it; #5,093 of 16,539 by trust here, #8,627 by citations
• Control and Systems Engineering — 6 citations into it

Whom Nicholas I. Sapankevych trusts overall

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

1. Vladimir Naumovich Vapni
2. Kyoung-jae Kim
3. Alex Smola
4. Ping-Feng Pai
5. Lijuan Cao
6. Bernhard Schölkopf
7. Johan A. K. Suykens
8. Bo-Juen Chen
9. Chun-Hsin Wu
10. Vladimir Naumovich Vapnik

Who trusts Nicholas I. Sapankevych overall

1. Aditya Grover
2. Decai Li
3. Renzhuo Wan
4. Zahra Zohrevand
5. Saejoon Kim
6. Ashish Kapoor
7. Min Han
8. Haixia Zhang
9. S. Mei
10. Uwe Glässer

Papers from Nicholas I. Sapankevych's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. The Nature of Statistical Learning Theory
10. Going deeper with convolutions

Their papers

• Time Series Prediction Using Support Vector Machines: A Survey (2009) — 1,053 citations