Davide Oscar Nitti

Electrical and Electronic Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 20 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 6 citations into it

Whom Davide Oscar Nitti trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Paul J. Werbos
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Alex Zihao Zhu
8. Henri Rebecq
9. Ross B. Girshick
10. Yoshua Bengio

Papers from Davide Oscar Nitti's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Learning to Detect Objects with a 1 Megapixel Event Camera (2020) — 351 citations