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

Whom Amin Emad trusts overall

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

  1. Berk Ustun
  2. Cynthia Rudin
  3. Dmitry M. Malioutov
  4. Benjamin Letham
  5. Kush R. Varshney

Who trusts Amin Emad overall

  1. Kush R. Varshney
  2. Dino Pedreschi
  3. Riccardo Guidotti
  4. Dmitry M. Malioutov
  5. Nadia Burkart
  6. Giulia Vilone

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.

  1. Exact Rule Learning via Boolean Compressed Sensing
  2. Validation of Clinical Classification Schemes for Predicting Stroke: Results From the National Registry of Atrial Fibrillation
  3. Methods and Models for Interpretable Linear Classification
  4. Building Interpretable Classifiers with Rules using Bayesian Analysis
  5. The Checklist Manifesto. How to get things right
  6. Regression Shrinkage and Selection via the Lasso
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. A decision-theoretic generalization of on-line learning and an application to boosting
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers