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Machine Learning and Algorithms
TopicLeading institutions, researchers & key papers
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.
29
Works
IDs:OpenAlex
How has Machine Learning and Algorithms's publication output changed over time?
ScholarIQpublication output · 1994–2016
Output grew0% over the shown period — from 1 works in 1994 to 1 in 2016.
1
1
1
1
1
1
199420022007200820142016
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
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 JOURNALS
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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