Sean McNally

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Management Science and Operations Research — 7 citations into it; #5,202 of 11,946 by trust here, #7,638 by citations
• Electrical and Electronic Engineering — 5 citations into it; #5,475 of 16,539 by trust here, #12,727 by citations

Whom Sean McNally trusts overall

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

1. Jeffrey L. Elman
2. Ladislav Kristoufek
3. Isaac Madan
4. Yoshua Bengio
5. Devavrat Shah
6. V. Ediger
7. Felix Alexander Gers
8. J. Urgen Schmidhuber
9. Sepp Hochreiter
10. Kang Zhang

Who trusts Sean McNally overall

1. Jingyi Shen
2. Huisu Jang
3. Omer Berat Sezer
4. Xiong Wen Pang
5. Fan Fang
6. M. Omair Shafiq
7. Jaewook Lee
8. M. Ugur Gudelek
9. A. Ozbayoglu
10. Yanqiang Zhou

Papers from Sean McNally's perspective

Ordered by how strongly the researchers Sean McNally 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Predicting the Price of Bitcoin Using Machine Learning (2018) — 580 citations