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 79 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Machine Learning and ELM?
ScholarIQopenalex
The OpenAlex for Machine Learning and ELM is on the source record.
What are the most-cited papers on Machine Learning and ELM?
ScholarIQmost cited works
A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification
Abdu Gumaei, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Abdulhameed Alelaiwi, Giancarlo Fortino
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
Zhennao Cai, Jianhua Gu, Jie Luo, Qian Zhang, Huiling Chen, Zhifang Pan, Yuping Li, Chengye Li
An improved cuckoo search based extreme learning machine for medical data classification
Puspanjali Mohapatra, Sujata Chakravarty, Priyabrata Dash
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
Vivek Lahoura, Harpreet Singh, Ashutosh Aggarwal, Bhisham Sharma, Mazin Abed Mohammed, Robertas Damaševičius, Seifedine Kadry, Korhan Cengiz
Online sequential extreme learning machine with forgetting mechanism
Jianwei Zhao, Zhihui Wang, Dong Sun Park
Where is Machine Learning and ELM research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Machine Learning and ELM is open access?
ScholarIQopen access share
40%OPEN ACCESS