Amin Emad
Artificial Intelligence · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #16,278 of 35,345 by trust here, #25,040 by citations
- Algorithms & Complexity — 5 citations into it
- Statistical Learning Theory — 5 citations into it; #663 of 1,038 by trust here, #836 by citations
Whom Amin Emad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Amin Emad overall
Papers from Amin Emad's perspective
Ordered by how strongly the researchers Amin Emad trusts endorse each paper. Same corpus, a different order for every researcher.
- Exact Rule Learning via Boolean Compressed Sensing
- Validation of Clinical Classification Schemes for Predicting Stroke: Results From the National Registry of Atrial Fibrillation
- Methods and Models for Interpretable Linear Classification
- Building Interpretable Classifiers with Rules using Bayesian Analysis
- The Checklist Manifesto. How to get things right
- Regression Shrinkage and Selection via the Lasso
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- A decision-theoretic generalization of on-line learning and an application to boosting
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)