Eric T. Carlson

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Natural Language Processing — 15 citations into it

Whom Eric T. Carlson trusts overall

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

1. Ronan Collobert
2. Matthew D. Zeiler
3. George Hripcsak

Papers from Eric T. Carlson's perspective

Ordered by how strongly the researchers Eric T. Carlson 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Natural Language Processing (Almost) from Scratch
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Torch7: A Matlab-like Environment for Machine Learning
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Comparing Rule-Based and Deep Learning Models for Patient Phenotyping (2017) — 45 citations
• Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives (2018) — 199 citations