S. Kamkar

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Kamkar trusts overall

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

  1. Lloyd S. Shapley
  2. Scott M. Lundberg

Papers from S. Kamkar's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. Axiomatic Attribution for Deep Networks
  3. A Unified Approach to Interpreting Model Predictions
  4. Consistent Individualized Feature Attribution for Tree Ensembles
  5. A Value for n-person Games
  6. XGBoost: A Scalable Tree Boosting System
  7. A Parallel Mixture of SVMs for Very Large Scale Problems
  8. Values of Non-Atomic Games
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers