Joel B. Predd

Artificial Intelligence · 2005

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Networks and Communications — 12 citations into it; #8,755 of 9,886 by trust here, #4,757 by citations
• Electrical and Electronic Engineering — 7 citations into it
• Statistics and Probability — 5 citations into it; #11,653 of 12,932 by trust here, #5,481 by citations

Whom Joel B. Predd trusts overall

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

1. Michael G. Rabbat
2. Leo Breiman
3. Robert D. Nowak
4. Luc Devroye
5. Robert A. Jacobs
6. Josef Kittler
7. Carlos Guestrin
8. László Györfi
9. Dimitri P. Bertsekas
10. Vladimir Naumovich Vapni

Who trusts Joel B. Predd overall

1. Ali H. Sayed
2. Hal Daumé Iii
3. Mohammad Abu Alsheikh
4. Simone Scardapane
5. Albert S. Berahas
6. Jeff M. Phillips
7. Shaowei Lin

Papers from Joel B. Predd's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Distributed learning in wireless sensor networks (2005) — 376 citations