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PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python

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Year: 2021
Type: preprint
Abstract: Knowledge-aware machine learning from multiple sources in Python
Source: White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
DOI: 10.48550/arxiv.2106.09756
Authors: Lu, Haiping, Liu, Xianyuan, Turner, Robert, Bai, Peizhen, Koot, Raivo E, Zhou, Shuo, Chasmai, Mustafa, Schobs, Lawrence
Institutions: University of Sheffield, Indian Institute of Technology Delhi
Language: English

Topic: Machine Learning and Algorithms
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences

Open Access status: green

Funder: Wellcome Trust
Awards: Developing a machine learning tool to improve prognostic and treatment response assessment on cardiac MRI data, Developing a machine learning tool to improve prognostic and treatment response assessment on cardiac MRI data
OpenAlex ID: W3173758928
Cites: 53
Cited by:
Related to: 10
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