Work

Supporting Dataset For Paper: "Ranks underlie outcome of combining classifiers: quantitative roles for Diversity and Accuracy"

Year: 2021

Type: dataset

Abstract: This zipfile contains the DXA/MRI dataset used in the publication: "Ranks underlie outcome of combining classifiers: quantitative roles for Diversity and Accuracy". To be updated with publication citation/DOI when provided.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.5711897

Authors: Sniatynski, Matthew J., Shepherd, John A., Ernst, Thomas, Wilkens, Lynne R., Hsu, D. Frank, Kristal, Bruce S.

Institutions: Brigham and Women's Hospital, Harvard University, University of California, San Francisco, University of Hawaiʻi at Mānoa, University of Hawaii Cancer Center, Fordham University

Language: English

Topic: Machine Learning and Data Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4394027866

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