Gabriel Erion

Computer ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Forecasting adverse surgical events using self-supervised transfer learning for physiological signals”.

Forecasting adverse surgical events using self-supervised transfer learning for physiological signals

npj Digital Medicine(2021)10.1038/s41746-021-00536-y

N/A

2.1DataRank · unranked

51 citations

Scott Lundberg, Gabriel Erion, Jerry H. Kim, Su-In Lee, Hugh Chen

From local explanations to global understanding with explainable AI for trees

Nature Machine Intelligence(2020)10.1038/s42256-019-0138-9

N/A

1.4DataRank · unranked

8346 citations

Gabriel Erion, Hugh Chen, Alex DeGrave, Jordan M. Prutkin, Bala Nair +8 more

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Nature Machine Intelligence(2021)10.1038/s42256-021-00343-w

N/A

0DataRank · unranked

22 citations

Joseph D. Janizek, Pascal Sturmfels, Scott Lundberg, Su-In Lee, Gabriel Erion

CoAI: Cost-Aware Artificial Intelligence for Health Care

medRxiv(2021)10.1101/2021.01.19.21249356

N/A

0DataRank · unranked

4 citations

Joseph D. Janizek, Carly Hudelson, Richard B. Utarnachitt, Andrew M. McCoy, Michael R. Sayre +3 more

A cost-aware framework for the development of AI models for healthcare applications

Nature Biomedical Engineering(2022)10.1038/s41551-022-00872-8

N/A

0DataRank · unranked

40 citations

Joseph D. Janizek, Carly Hudelson, Richard B. Utarnachitt, Andrew M. McCoy, Michael R. Sayre +3 more