iamyuanchung / csdnn
Theano implementation of Cost-Sensitive Deep Neural Networks
☆26Updated 6 years ago
Alternatives and similar repositories for csdnn:
Users that are interested in csdnn are comparing it to the libraries listed below
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆106Updated 4 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆44Updated 5 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 6 years ago
- Synthetic Minority Over-sampling Technique☆38Updated 7 years ago
- ☆61Updated 7 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆28Updated 9 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 5 years ago
- The python implementation of tri-triaing☆50Updated 5 years ago
- Transfer learning algorithm TrAdaboost,coded by python☆121Updated 2 years ago
- ☆22Updated 5 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 5 years ago
- 《机器学习之类别不平衡问题》文章代码☆45Updated 6 years ago
- Oversampling for imbalanced learning based on k-means and SMOTE☆124Updated 3 years ago
- 卷积神经网络提取特征并用于SVM//www.cnblogs.com/chuxiuhong/p/6132814.html☆15Updated 6 years ago
- Oversampling method based on relative density☆11Updated 4 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆41Updated 4 years ago
- Learning and Recording☆34Updated 5 years ago
- This repository is codeabout cnn with xgboost☆31Updated 6 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 5 years ago
- GAAL-based Outlier Detection☆131Updated 2 years ago
- Stacked Denoising AutoEncoder☆76Updated 5 years ago
- Infinite Feature Selection: a Graph-based Feature Filtering Approach☆37Updated 7 months ago
- Tensorflow implementation of "Deep sparse representation-based classification"☆44Updated 5 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆127Updated last year
- Joint Distribution Adaptation ICCV2013☆15Updated 7 years ago
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架☆255Updated last year
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆98Updated 6 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- 使用遗传算法结合决策树做特征选择/Using genetic algorithm for feature selection with decision tree☆24Updated 6 years ago
- This paper is continuously updated with deep anomaly detection methods and their applications☆104Updated 6 years ago