G-mean based extreme learning machine for imbalance learning

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014 · 75.5K citations · Full text

Computing, Computer Science, Computer Vision +11

ImageNet: A large-scale hierarchical image database

Jia Deng, Wei Dong, Richard Socher et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition · 2009 · 61.8K citations

Computing, Computer Science, Computer Vision +12

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 31.2K citations · Full text

Computing, Computer Science, Data Science +12

Learning representations by back-propagating errors

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations

Computing, Computer Science, Knowledge Representation +11

Pattern Recognition and Machine Learning

Journal of Electronic Imaging · 2007 · 22.1K citations

Computing, Computer Engineering, Computer Science +14