Carlos Eduardo Pedreira

Artificial Intelligence · 2001–2022

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #7,677 of 35,345 by trust here, #10,566 by citations
• Information Systems — 21 citations into it
• Algorithms & Complexity — 11 citations into it
• Statistical Learning Theory — 10 citations into it
• Optimization & Training — 8 citations into it
• Statistics and Probability — 8 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Carlos Eduardo Pedreira trusts overall

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

1. J. Ross Quinlan
2. Wei-Yin Loh
3. Jack Dunn
4. Sicco Verwer
5. Dimitris J. Bertsimas
6. Niko Speybroeck
7. Ozan Irsoy
8. Ron Kohavi
9. Alex Alves Freitas
10. Kristin P. Bennett

Who trusts Carlos Eduardo Pedreira overall

1. James W. Taylor
2. Rob J Hyndman
3. Han Lin Shang
4. André Schidler
5. Shu Fan
6. J. De Gooijer
7. Ping-Huan Kuo
8. Sven F. Crone
9. Hao Quan
10. Seunghyoung Ryu

Papers from Carlos Eduardo Pedreira's perspective

Ordered by how strongly the researchers Carlos Eduardo Pedreira 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Neural networks for short-term load forecasting: a review and evaluation (2001) — 2,323 citations
• Recent advances in decision trees: an updated survey (2022) — 528 citations