The following pages link to (Q4533353):
Displaying 50 items.
- AN ENSEMBLE TECHNIQUE FOR MULTI CLASS IMBALANCED PROBLEM USING PROBABILISTIC NEURAL NETWORKS (Q5229485) (← links)
- Logistic discrimination based on G-mean and F-measure for imbalanced problem (Q5275184) (← links)
- A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn (Q5363852) (← links)
- The effect of cognitive and behavioral factors on student success in a bottleneck business statistics course via deeper analytics (Q5866122) (← links)
- Replica analysis of overfitting in generalized linear regression models (Q5870629) (← links)
- A two-step anomaly detection based method for PU classification in imbalanced data sets (Q6040516) (← links)
- A new instance density-based synthetic minority oversampling method for imbalanced classification problems (Q6048222) (← links)
- Imbalanced least squares regression with adaptive weight learning (Q6052661) (← links)
- High dimensional binary classification under label shift: phase transition and regularization (Q6062484) (← links)
- A new non-kernel quadratic surface approach for imbalanced data classification in online credit scoring (Q6064472) (← links)
- Interpretable machine learning for imbalanced credit scoring datasets (Q6069240) (← links)
- Optimal task-driven time-dependent covariate-based maintenance policy (Q6073150) (← links)
- Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation (Q6079131) (← links)
- Data adjusting strategy and optimized XGBoost algorithm for novel insider threat detection model (Q6082801) (← links)
- A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors (Q6086294) (← links)
- Missing data imputation in clinical trials using recurrent neural network facilitated by clustering and oversampling (Q6089912) (← links)
- Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines (Q6089967) (← links)
- Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency (Q6104091) (← links)
- Bayesian analysis for imbalanced positive-unlabelled diagnosis codes in electronic health records (Q6104103) (← links)
- A new classifier for imbalanced data based on a generalized density ratio model (Q6113642) (← links)
- Re-sampling of multi-class imbalanced data using belief function theory and ensemble learning (Q6114027) (← links)
- Three-way sampling for rapid attribute reduction (Q6122189) (← links)
- A random approximate reduct-based ensemble learning approach and its application in software defect prediction (Q6122240) (← links)
- An overlapping oriented imbalanced ensemble learning algorithm with weighted projection clustering grouping and consistent fuzzy sample transformation (Q6124697) (← links)
- AFNFS: adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data (Q6125240) (← links)
- FAC-fed: federated adaptation for fairness and concept drift aware stream classification (Q6134343) (← links)
- The role of mutual information in variational classifiers (Q6134364) (← links)
- Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks (Q6148810) (← links)
- Is this a violation? Learning and understanding norm violations in online communities (Q6152672) (← links)
- Random forest based multiclass classification approach for highly skewed particle data (Q6159002) (← links)
- Imbalanced regression using regressor-classifier ensembles (Q6161198) (← links)
- Reconstructing production networks using machine learning (Q6164880) (← links)
- Sports analytics in the NFL: classifying the winner of the superbowl (Q6170914) (← links)
- Enhancing the predictive performance of ensemble models through novel multi-objective strategies: evidence from credit risk and business model innovation survey data (Q6170949) (← links)
- Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach (Q6172915) (← links)
- Automated imbalanced classification via layered learning (Q6174506) (← links)
- Hypergraph regularized semi-supervised support vector machine (Q6188165) (← links)
- Efficient change point detection and estimation in high-dimensional correlation matrices (Q6200899) (← links)
- Data augmentation using improved conditional GAN under extremely limited fault samples and its application in fault diagnosis of electric submersible pump (Q6202483) (← links)
- Mixture copulas with discrete margins and their application to imbalanced data (Q6204708) (← links)
- Multiple kernel learning for label relation and class imbalance in multi-label learning (Q6205006) (← links)
- Exploring uplift modeling with high class imbalance (Q6487755) (← links)
- Dynamic auxiliary soft labels for decoupled learning (Q6488691) (← links)
- Bootstrapping binary GEV regressions for imbalanced datasets (Q6538413) (← links)
- Fair evaluation of classifier predictive performance based on binary confusion matrix (Q6538424) (← links)
- A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs (Q6538803) (← links)
- The effect of rebalancing on LDA in imbalanced classification (Q6541796) (← links)
- Epsilon consistent Mixup: structural regularization with an adaptive consistency-interpolation trade-off (Q6543834) (← links)
- Prediction of forest fire risk for artillery military training using weighted support vector machine for imbalanced data (Q6546757) (← links)
- Homocentric quadratic surfaces and maximum margin approach for imbalanced data classification (Q6550076) (← links)
