Roberto Verdecchia

Electrical and Electronic Engineering · 2023

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Efficiency & Compression — 8 citations into it
• Computer Networks and Communications — 7 citations into it
• Information Systems — 6 citations into it
• AI Ethics, Fairness & Society — 5 citations into it

Whom Roberto Verdecchia trusts overall

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

1. Barbara A. Kitchenham
2. Kai Petersen
3. Claes Wohlin
4. Young Geun Kim
5. Lasse F. Wolff Anthony
6. Boyu Zhang
7. Roy Schwartz
8. Sachin Mehta
9. Carole-Jean Wu
10. Pearl Brereton

Papers from Roberto Verdecchia's perspective

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

Their papers

• A systematic review of Green AI (2023) — 357 citations