Precipitation Phase Inversion Algorithm for Extremely Unbalanced Data

[1]  Di Xiao,et al.  High Capacity Data Hiding in Encrypted Image Based on Compressive Sensing for Nonequivalent Resources , 2019, Computers, Materials & Continua.

[2]  Fei-Yue Wang,et al.  Posterior probability support vector Machines for unbalanced data , 2005, IEEE Transactions on Neural Networks.

[3]  Zhe Liu,et al.  An Improved Unsupervised Image Segmentation Method Based on Multi-objective Particle Swarm Optimization Clustering Algorithm , 2019, Computers, Materials & Continua.

[4]  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).

[5]  Taghi M. Khoshgoftaar,et al.  Hybrid sampling for imbalanced data , 2008, 2008 IEEE International Conference on Information Reuse and Integration.

[6]  Nitesh V. Chawla,et al.  Editorial: special issue on learning from imbalanced data sets , 2004, SKDD.

[7]  Dunja Mladenic,et al.  Feature Selection for Unbalanced Class Distribution and Naive Bayes , 1999, ICML.

[8]  Jong-Seok Lee,et al.  A New Under-Sampling Method Using Genetic Algorithm for Imbalanced Data Classification , 2016, IMCOM.

[9]  Seokhoon Kim,et al.  A Data Download Method from RSUs using Fog Computing in Connected Vehicles , 2019, Computers, Materials & Continua.

[10]  Najoua Essoukri Ben Amara,et al.  A hybrid sampling method for imbalanced data , 2015, 2015 IEEE 12th International Multi-Conference on Systems, Signals & Devices (SSD15).

[11]  Gary Weiss,et al.  Improving classifier utility by altering the misclassification cost ratio , 2005, UBDM '05.

[12]  Nitesh V. Chawla,et al.  SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..

[13]  M. Maloof.  Learning When Data Sets are Imbalanced and When Costs are Unequal and Unknown , 2003 .

[14]  Nitesh V. Chawla,et al.  SPECIAL ISSUE ON LEARNING FROM IMBALANCED DATA SETS , 2004 .