I. Antonopoulos

Electrical and Electronic Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 33 citations into it
• Artificial Intelligence — 26 citations into it
• Control and Systems Engineering — 15 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Statistical Learning Theory — 6 citations into it
• Optimization & Training — 5 citations into it

Whom I. Antonopoulos trusts overall

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

1. David John Cameron MacKay
2. Renzhi Lu
3. Christopher K. I. Williams
4. Arpan Kumar Kar
5. Zachary Chase Lipton
6. Yuxi Li
7. A. R. Jordehi
8. Geoffrey E. Hinton
9. Yoav Freund
10. Kevin P. Murphy

Who trusts I. Antonopoulos overall

1. Elias Simon Bibri

Papers from I. Antonopoulos's perspective

Ordered by how strongly the researchers I. Antonopoulos 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review (2020) — 536 citations