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Machine Learning and Algorithms

TopicLeading institutions, researchers & key papers

Machine Learning and Algorithms is a topic indexed in ScholarIQ from OpenAlex.

What is known about Machine Learning and Algorithms?

ScholarIQrecord summary

This cluster of papers revolves around the topic of active learning in machine learning research. It covers various aspects such as semi-supervised learning, deep learning, Gaussian processes, image classification, text categorization, batch mode active learning, statistical guarantees, and human-in-the-loop approaches.

How many works does Machine Learning and Algorithms have?

ScholarIQindexed works

Machine Learning and Algorithms has 36,698 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 Algorithms have?

ScholarIQcitation count

Machine Learning and Algorithms has 665,213 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Machine Learning and Algorithms?

ScholarIQopenalex

The OpenAlex for Machine Learning and Algorithms is on the source record.

Who are the most-cited researchers behind Machine Learning and Algorithms?

ScholarIQtop researchers by citations
1
Yoshua Bengio · Neural Networks and Applications
1,290 works476,190 citations
2
Geoffrey E. Hinton · Neural Networks and Applications
385 works451,920 citations
3
Ross Girshick · Advanced Neural Network Applications
175 works355,032 citations
4
Trevor Hastie · Statistical Methods and Inference
656 works297,993 citations
5
Andrew Zisserman · Advanced Image and Video Retrieval Techniques
949 works259,063 citations

Where is Machine Learning and Algorithms 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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