Andrew J. Plassard

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #12,302 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 9 citations into it; #31,823 of 35,345 by trust here, #30,347 by citations

Whom Andrew J. Plassard trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ilya Sutskever
4. Yoshua Bengio
5. Ian J. Goodfellow
6. Nitish Srivastava
7. Yann LeCun
8. Alec Radford
9. Ruslan Salakhutdinov
10. Diederik P. Kingma

Who trusts Andrew J. Plassard overall

1. Arvid Lundervold
2. Parnian Afshar
3. Hossam H. Sultan
4. Jaeyong Kang
5. Soheila Saeedi
6. Xin Yi
7. K. Plataniotis
8. Arash Mohammadi

Papers from Andrew J. Plassard's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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. ImageNet: A large-scale hierarchical image database
8. Dropout: a simple way to prevent neural networks from overfitting
9. Learning Multiple Layers of Features from Tiny Images
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• Learning Implicit Brain MRI Manifolds with Deep Learning (2018) — 139 citations
• Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation (2018) — 68 citations
• Deep Learning for Brain Tumor Classification (2017) — 329 citations
• Toward Content Based Image Retrieval with Deep Convolutional Neural Networks (2015) — 49 citations