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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 29 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 Algorithms?

ScholarIQopenalex

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

What are the most-cited papers on Machine Learning and Algorithms?

ScholarIQmost cited works
An analysis of active learning strategies for sequence labeling tasks
Burr Settles, Mark Craven
2008995 CitationsOPEN ACCESS
Multiple-Instance Active Learning
Burr Settles, Mark Craven, Soumya Ray
2007466 Citations
Using Sampling and Queries to Extract Rules from Trained Neural Networks
Mark Craven, Jude Shavlik
Elsevier eBooks. 1994312 Citations
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
Jonathan Krause, Benjamin Sapp, Andrew Howard, Howard Zhou, Alexander Toshev, Tom Duerig, James Philbin, Li Fei-Fei
Lecture notes in computer science. 2016304 Citations
Temporal logic inference for classification and prediction from data
Zhaodan Kong, Austin Jones, Ana Medina Ayala, Ebru Aydın Göl, Călin Belta
201494 Citations

Where is Machine Learning and Algorithms research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Machine Learning and Algorithms is open access?

ScholarIQopen access share
17%OPEN ACCESS
Gold
17%
Green
0%
Hybrid
0%
Bronze
0%
Closed
83%

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