FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data
暂无分享,去创建一个
Sushil Jajodia | V. S. Subrahmanian | Jing Liu | Noseong Park | Vadim Sokolov | Haipeng Chen | S. Jajodia | Vadim O. Sokolov | Noseong Park | Jing Liu | Haipeng Chen
[1] Pierre Baldi,et al. Autoencoders, Unsupervised Learning, and Deep Architectures , 2011, ICML Unsupervised and Transfer Learning.
[2] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[3] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[5] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[6] Philip S. Yu,et al. A Condensation Approach to Privacy Preserving Data Mining , 2004, EDBT.
[7] Ron Kohavi,et al. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid , 1996, KDD.
[8] Fernando Nogueira,et al. Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning , 2016, J. Mach. Learn. Res..
[9] Michael Werman,et al. Fast and robust Earth Mover's Distances , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[10] M. D. Wilkinson,et al. Management science , 1989, British Dental Journal.
[11] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[12] Liliya Demidova,et al. SVM classification: Optimization with the SMOTE algorithm for the class imbalance problem , 2017, 2017 6th Mediterranean Conference on Embedded Computing (MECO).
[13] Dima Damen,et al. Computer Vision and Pattern Recognition (CVPR) , 2009 .
[14] Haibo He,et al. ADASYN: Adaptive synthetic sampling approach for imbalanced learning , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[15] Peter R. Winters,et al. Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .
[16] Andrew Zisserman,et al. Advances in Neural Information Processing Systems (NIPS) , 2007 .
[17] Antonio Bonafonte,et al. SEGAN: Speech Enhancement Generative Adversarial Network , 2017, INTERSPEECH.
[18] Hui Han,et al. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning , 2005, ICIC.