The following pages link to SMOTE (Q45948):
Displaying 39 items.
- An improved oversampling algorithm based on the samples' selection strategy for classifying imbalanced data (Q2298314) (← links)
- Learning algorithms to evaluate forensic glass evidence (Q2318674) (← links)
- A three-way decision ensemble method for imbalanced data oversampling (Q2329593) (← links)
- Massive datasets and machine learning for computational biomedicine: trends and challenges (Q2329887) (← links)
- Difficulty factors and preprocessing in imbalanced data sets: an experimental study on artificial data (Q2360664) (← links)
- Training and assessing classification rules with imbalanced data (Q2435707) (← links)
- A vector-valued support vector machine model for multiclass problem (Q2446454) (← links)
- The impact of preprocessing on data mining: an evaluation of classifier sensitivity in direct marketing (Q2497261) (← links)
- Densifying distance spaces for shape and image retrieval (Q2513322) (← links)
- Protein subcellular localization in human and hamster cell lines: employing local ternary patterns of fluorescence microscopy images (Q2632347) (← links)
- Markov mean properties for cell death-related protein classification (Q2632745) (← links)
- A hierarchical multi-label classification algorithm for gene function prediction (Q2633227) (← links)
- Adaptive weighted over-sampling for imbalanced datasets based on density peaks clustering with heuristic filtering (Q2660951) (← links)
- Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification (Q2660967) (← links)
- Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis (Q2669442) (← links)
- The detection and location estimation of disasters using Twitter and the identification of non-governmental organisations using crowdsourcing (Q2669448) (← links)
- Deep-learning-based partial pricing in a branch-and-price algorithm for personalized crew rostering (Q2669662) (← links)
- Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality (Q2676331) (← links)
- Credit scoring with drift adaptation using local regions of competence (Q2677348) (← links)
- Financial futures prediction using fuzzy rough set and synthetic minority oversampling technique (Q2682606) (← links)
- A SMOTE-based quadratic surface support vector machine for imbalanced classification with mislabeled information (Q2691233) (← links)
- Cost Sensitive SVM with Non-informative Examples Elimination for Imbalanced Postoperative Risk Management Problem (Q2950434) (← links)
- A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets (Q3164067) (← links)
- An Improved Algorithm for SVMs Classification of Imbalanced Data Sets (Q3405715) (← links)
- Coselection of features and instances for unsupervised rare category analysis (Q4969740) (← links)
- An empirical evaluation of machine learning performance in corporate sales growth prediction (Q5000099) (← links)
- OR Practice–Data Analytics for Optimal Detection of Metastatic Prostate Cancer (Q5003717) (← links)
- Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets (Q5019887) (← links)
- Modeling surrender risk in life insurance: theoretical and experimental insight (Q5042783) (← links)
- Supervised Gene Function Prediction Using Spectral Clustering on Gene Co-expression Networks (Q5050390) (← links)
- Quantification of model risk that is caused by model misspecification (Q5073380) (← links)
- Adaptive kernel scaling support vector machine with application to a prostate cancer image study (Q5073413) (← links)
- A Multi-objective Bat Algorithm for Software Defect Prediction (Q5117731) (← links)
- Computational Genomics with R (Q5151092) (← links)
- (Q5211853) (← links)
- Regularized receiver operating characteristic-based logistic regression for grouped variable selection with composite criterion (Q5220892) (← links)
- AN ENSEMBLE TECHNIQUE FOR MULTI CLASS IMBALANCED PROBLEM USING PROBABILISTIC NEURAL NETWORKS (Q5229485) (← 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)
