Prabaharan Poornachandran

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Networks and Communications — 27 citations into it
• Signal Processing — 16 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Model Architectures — 6 citations into it

Whom Prabaharan Poornachandran trusts overall

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

1. Geoffrey E. Hinton
2. L. V. D. van der Maaten
3. Jeffrey L. Elman
4. Yoon Kim
5. Karen Simonyan
6. Sepp Hochreiter
7. Yann LeCun
8. Yoshua Bengio
9. J. Urgen Schmidhuber
10. Ahmad Y. Javaid

Papers from Prabaharan Poornachandran's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Going deeper with convolutions

Their papers

• Deep Learning Approach for Intelligent Intrusion Detection System (2019) — 1,514 citations
• Applying convolutional neural network for network intrusion detection (2017) — 451 citations