Hidehisa Soejima

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; #31,408 of 35,345 by trust here, #34,943 by citations

Whom Hidehisa Soejima trusts overall

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

1. Scott M. Lundberg
2. Jerome H. Friedman
3. Tianqi Chen

Who trusts Hidehisa Soejima overall

1. Shiva Maleki Varnosfaderani

Papers from Hidehisa Soejima's perspective

Ordered by how strongly the researchers Hidehisa Soejima 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

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