Stephen LaConte

NeuroImage · 2005–2014

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Stephen LaConte trusts overall

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

1. Bernhard Schölkopf
2. David Ruppert
3. Robert A. Lordo
4. Alex Smola
5. C. Burges
6. David D. Cox
7. Vladimir Naumovich Vapni
8. James V. Haxby
9. K. Müller
10. Robert L. Savoy

Who trusts Stephen LaConte overall

1. Peter Mondrup Rasmussen
2. Nematollah Kayhan Batmanghelich
3. Christos Davatzikos
4. R. Craddock
5. Jeanette A. Mumford
6. Kenneth A. Norman
7. Ze Wang
8. Michael Hanke
9. Bertrand Thirion
10. Jessica Schrouff

Papers from Stephen LaConte's perspective

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

Their papers

• An open science resource for establishing reliability and reproducibility in functional connectomics (2014) — 473 citations
• Real-time fMRI neurofeedback: Progress and challenges (2013) — 462 citations
• Support vector machines for temporal classification of block design fMRI data (2005) — 428 citations