• SMOTEBoost

  • Referenced in 35 articles [sw12571]
  • SMOTEBoost is an algorithm to handle class imbalance problem in data with discrete class labels ... learning procedure due to class imbalance and to increase the sampling weights of minority class...
  • BSPlib

  • Referenced in 42 articles [sw03374]
  • BSPlib. This tool highlights computation and communication imbalance in parallel programs, exposing portions of program...
  • mipmatch

  • Referenced in 17 articles [sw06773]
  • weighted sum of specific measures of covariate imbalance, or by minimizing the total ... distances while constraining the measures of imbalance to be less than or equal to certain ... matching efforts on certain measures of covariate imbalance and their corresponding weights or tolerances...
  • ADASYN

  • Referenced in 20 articles [sw36457]
  • reducing the bias introduced by the class imbalance, and (2) adaptively shifting the classification decision...
  • PSMATCH2

  • Referenced in 12 articles [sw08726]
  • score matching, common support graphing, and covariate imbalance testing. psmatch2 implements full Mahalanobis and propensity ... score matching, common support graphing, and covariate imbalance testing. This routine supersedes the previous ’psmatch...
  • pSumo-CD

  • Referenced in 14 articles [sw23949]
  • caused by the bias due to the imbalance of training data, had been incorporated. Rigorous...
  • PNFFT

  • Referenced in 9 articles [sw07583]
  • deal with the inherent load imbalance of the serial algorithm ... nonequispaced fast Fourier transform circumvents severe load imbalance due to particle scaling. To prove...
  • PyClone

  • Referenced in 11 articles [sw26928]
  • their cellular prevalences and accounting for allelic imbalances introduced by segmental copy-number changes...
  • yaSpMV

  • Referenced in 7 articles [sw17482]
  • previous work has shown impressive progress, load imbalance and high memory bandwidth remain the critical ... approach for SpMV to address the load imbalance problem. We propose a highly efficient matrix...
  • PLUM

  • Referenced in 8 articles [sw20522]
  • efficient unstructured-grid computations but causes load imbalance among processors on a parallel machine...
  • CTF

  • Referenced in 8 articles [sw25687]
  • Tensor Framework: Reducing Communication and Eliminating Load Imbalance in Massively Parallel Contractions. Cyclops (cyclic-operations...
  • DAMRO-1

  • Referenced in 4 articles [sw07446]
  • rotors subject to base excitations plus mass imbalance. The formulation allows for six motions ... rotor-linear bearing systems subject to mass imbalance plus harmonic excitations along or around lateral ... prone to base motions and mass imbalance. For systems with bearing cubic nonlinearity, results ... support cubic nonlinearity and subject to mass imbalance and base excitation, the FFT of disk...
  • Parareal

  • Referenced in 6 articles [sw19572]
  • Parareal’s convergence. The influence of load imbalances in time due to differences in number...
  • CARAT

  • Referenced in 6 articles [sw35399]
  • wide alterations that can contribute to allelic imbalance...
  • V-Net

  • Referenced in 6 articles [sw35860]
  • with situations where there is a strong imbalance between the number of foreground and background...
  • RUSBoost

  • Referenced in 5 articles [sw20607]
  • algorithm for alleviating the problem of class imbalance. RUSBoost combines data sampling and boosting, providing...
  • ACOSampling

  • Referenced in 5 articles [sw41786]
  • microarray data. In DNA microarray data, class imbalance problem occurs frequently, causing poor prediction performance...
  • smotefamily

  • Referenced in 3 articles [sw22355]
  • Collection of Oversampling Techniques for Class Imbalance Problem Based on SMOTE. A collection of various ... order to generate balanced dataset for class imbalance problem...
  • GI

  • Referenced in 2 articles [sw37308]
  • Macro for Measuring and Testing Global Imbalance of Covariates within Subgroups. The global imbalance ... common way for assessing the presence of imbalance in observed covariates that were discussed ... simultaneously measure and test global imbalance of baseline covariates is described. Furthermore, %GI also assesses ... global imbalance by subgroups obtained through several matching or classification methods (e.g., cluster analysis, propensity...
  • RHSBoost

  • Referenced in 2 articles [sw39519]
  • RHSBoost: improving classification performance in imbalance data. Imbalance data are defined as a dataset whose ... tends to deteriorate due to class distribution imbalance. In addition, over-representation by majority classes ... RHSBoost has been proposed to address the imbalance classification problem. This classification rule uses random ... attractive classification model for imbalance data...