Abiodun Esther Omolara

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Electrical and Electronic Engineering — 11 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Abiodun Esther Omolara trusts overall

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

1. Simon S. Haykin
2. Yoshua Bengio
3. Stephen I. Gallant
4. Weizhong Yan
5. Soteris A. Kalogirou
6. Geoffrey E. Hinton
7. Andrew Barto

Papers from Abiodun Esther Omolara's perspective

Ordered by how strongly the researchers Abiodun Esther Omolara 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Learning Deep Architectures for AI
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition (2019) — 562 citations
• State-of-the-art in artificial neural network applications: A survey (2018) — 2,641 citations