David Camacho

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 111 citations into it
• Computational Theory and Mathematics — 66 citations into it
• Computer Networks and Communications — 17 citations into it
• Information Systems — 17 citations into it
• Management Science and Operations Research — 17 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Sociology and Political Science — 12 citations into it
• Signal Processing — 11 citations into it

Whom David Camacho trusts overall

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

1. Mark Newman
2. Leslie G. Valiant
3. Santo Fortunato
4. Fabrizio Sebastiani
5. Aron Culotta
6. Tom White
7. Tak-Chung Fu
8. Michelle Girvan
9. Matei A. Zaharia
10. Ying Zhao

Papers from David Camacho's perspective

Ordered by how strongly the researchers David Camacho 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. Latent Dirichlet Allocation
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Bio-inspired computation: Where we stand and what's next (2019) — 551 citations
• Social big data: Recent achievements and new challenges (2015) — 797 citations