Concepedia

Human-in-the-loop: Using classifier decision boundary maps to improve pseudo labels

Bárbara C. Benato, Cristian Grosu, Alexandre X. Falcão, Alexandru Telea

Computers & Graphics · 2024 · 12 citations · 36 references

Open access

Concepts

ComputingComputer ScienceArtificial IntelligenceComputer VisionMachine LearningClassificationObject RecognitionPattern RecognitionRepresentation LearningSelf-supervised LearningSupervised LearningAutomatic Label GenerationHuman-in-the-loop ClassificationHuman-in-the-loop LearningLabelsPseudo-labeling

References

36

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

Visualizing Data using t-SNE

Laurens van der Maaten, Geoffrey E. Hinton · Journal of Machine Learning Research · 2008 · 35.7K citations

Computing, Data Science, Visualization +13

Reducing the Dimensionality of Data with Neural Networks

Geoffrey E. Hinton, Ruslan Salakhutdinov · Science · 2006 · 21K citations

Computing, Computer Science, Artificial Intelligence +14

Principal component analysis

Svante Wold, Kim H. Esbensen, Paul Geladi · Chemometrics and Intelligent Laboratory Systems · 1987 · 11.5K citations

Natural Sciences, Biostatistics, Data Analytics +5

UMAP: Uniform Manifold Approximation and Projection

Leland McInnes, John Healy, Nathaniel Saul et al. · The Journal of Open Source Software · 2018 · 9.6K citations · Full text

Computing, Computer Science, Data Visualization +12