Nehal A. Parikh

Cognitive Neuroscience · 2008–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 13 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Nehal A. Parikh trusts overall

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

1. Martin Fodslette Møller
2. Olaf Sporns
3. E. Bullmore
4. Karen Simonyan
5. Mikail Rubinov
6. L. Eon Bottou
7. Mingrui Xia
8. Geoffrey E. Hinton
9. Junghoe Kim
10. G. Fiquet

Papers from Nehal A. Parikh's perspective

Ordered by how strongly the researchers Nehal A. Parikh 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. A Fast Learning Algorithm for Deep Belief Nets
7. Attention is All you Need (Neural Information Processing Systems)
8. This PDF file includes: Materials and Methods
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes (2018) — 152 citations
• Intensive care for extreme prematurity--moving beyond gestational age. (2008) — 862 citations