Andreas Tsamados

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Safety Research — 43 citations into it
• Safety, Robustness & Interpretability — 27 citations into it
• Computer Science Applications — 9 citations into it
• Health Informatics — 7 citations into it
• Information Systems and Management — 6 citations into it

Whom Andreas Tsamados trusts overall

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

1. Luciano Floridi
2. Reuben Binns
3. Gary F. Marcus
4. Sara Hooker
5. Mariarosaria Taddeo
6. Josh Cowls
7. Geoffrey E. Hinton
8. Timnit Gebru
9. Odd Erik Gundersen
10. N. Ahmed

Papers from Andreas Tsamados's perspective

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

Their papers

• The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations (2021) — 379 citations
• The ethics of algorithms: key problems and solutions (2020) — 356 citations