Seraphin B. Calo

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #21,352 of 35,345 by trust here, #9,870 by citations
• Safety, Robustness & Interpretability — 20 citations into it; #1,405 of 2,251 by trust here, #856 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Federated & Distributed Learning — 6 citations into it; #194 of 319 by trust here, #115 by citations

Whom Seraphin B. Calo trusts overall

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

1. Yann LeCun
2. Matthew D. Zeiler

Who trusts Seraphin B. Calo overall

1. Virat Shejwalkar

Papers from Seraphin B. Calo's perspective

Ordered by how strongly the researchers Seraphin B. Calo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Intriguing properties of neural networks
6. Learning Multiple Layers of Features from Tiny Images
7. Visualizing and Understanding Convolutional Networks
8. GradientBased Learning Applied to Document Recognition
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Analyzing Federated Learning through an Adversarial Lens (2018) — 1,351 citations
• Supplementary : Analyzing Federated Learning through an Adversarial Lens (2019)
• Securing Web Service by Automatic Robot Detection (2006) — 89 citations