N. Nakashima

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #31,371 of 35,345 by trust here, #34,943 by citations

Whom N. Nakashima trusts overall

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

1. Scott M. Lundberg
2. Jerome H. Friedman

Who trusts N. Nakashima overall

1. Mohamad Forouzanfar
2. Shiva Maleki Varnosfaderani

Papers from N. Nakashima's perspective

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

1. Greedy function approximation: A gradient boosting machine.
2. XGBoost: A Scalable Tree Boosting System
3. A Unified Approach to Interpreting Model Predictions
4. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
5. Consistent Individualized Feature Attribution for Tree Ensembles
6. The Shapley value : essays in honor of Lloyd S. Shapley
7. Regression Shrinkage and Selection via the Lasso
8. ImageNet Large Scale Visual Recognition Challenge
9. Information Theory: 1948-1998 - Guest Editorial
10. The Nature of Statistical Learning Theory

Their papers

• Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital (2021) — 875 citations