ScholarIQanswers from OpenAlex
Machine Learning and ELM
TopicLeading institutions, researchers & key papers
Machine Learning and ELM is a topic indexed in ScholarIQ from OpenAlex.
What is known about Machine Learning and ELM?
ScholarIQrecord summary
This cluster of papers focuses on the theory, applications, and advancements in Extreme Learning Machines (ELM), a machine learning framework based on feedforward neural networks with random hidden nodes. The papers cover topics such as incremental learning, classification, regression, ensemble methods, kernel-based models, and their applications in various domains.
How many works does Machine Learning and ELM have?
ScholarIQindexed works
Machine Learning and ELM has 17,101 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Machine Learning and ELM have?
ScholarIQcitation count
Machine Learning and ELM has 268,129 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Machine Learning and ELM?
ScholarIQopenalex
The OpenAlex for Machine Learning and ELM is on the source record.
Who are the most-cited researchers behind Machine Learning and ELM?
ScholarIQtop researchers by citations
Where is Machine Learning and ELM research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
No journal data available yet.
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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