Scott Lundberg
Publications by Year
Research Areas
Explainable Artificial Intelligence (XAI), Machine Learning in Healthcare, Machine Learning and Data Classification, Genomics and Chromatin Dynamics, Bayesian Modeling and Causal Inference
Most-Cited Works
- → From local explanations to global understanding with explainable AI for trees(2020)8,062 cited
- → A Unified Approach to Interpreting Model Predictions(2017)7,621 cited
- → Explainable machine-learning predictions for the prevention of hypoxaemia during surgery(2018)1,929 cited
- → Sparks of Artificial General Intelligence: Early experiments with GPT-4(2023)1,528 cited
- → Consistent Individualized Feature Attribution for Tree Ensembles(2018)552 cited
- → Algorithms to estimate Shapley value feature attributions(2023)372 cited
- → A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia(2017)339 cited
- → Explainable AI for Trees: From Local Explanations to Global Understanding(2019)262 cited
- → Explaining a series of models by propagating Shapley values(2022)211 cited
- → Visualizing the Impact of Feature Attribution Baselines(2020)193 cited