about
A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM.Recognition of multiple imbalanced cancer types based on DNA microarray data using ensemble classifiers.Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.Iterative ensemble feature selection for multiclass classification of imbalanced microarray data.Seamless lesion insertion for data augmentation in CAD training.Class prediction for high-dimensional class-imbalanced dataImbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding VariantsImbalanced class learning in epigenetics.Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU.Improving predictions in imbalanced data using Pairwise Expanded Logistic Regression.Learning a Taxonomy of Predefined and Discovered Activity PatternsDifferences in local genomic context of bound and unbound motifs.Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.An empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets.Metabolomic biosignature differentiates melancholic depressive patients from healthy controls.Retinal Microaneurysms Detection Using Gradient Vector Analysis and Class Imbalance Classification.RACOG and wRACOG: Two Probabilistic Oversampling Techniques.A unified methodology based on sparse field level sets and boosting algorithms for false positives reduction in lung nodules detection.Deep learning in bioinformatics.Stratification-Based Outlier Detection over the Deep Web.An Imbalanced Learning based MDR-TB Early Warning System.Concordance between Composite International Diagnostic Interview and self-reports of depressive symptoms: a re-analysis.Handling class imbalance problem in miRNA dataset associated with cancer.Conformational B-cell epitopes prediction from sequences using cost-sensitive ensemble classifiers and spatial clustering.Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data.TargetATPsite: a template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble.Analyzing cross-college course enrollments via contextual graph mining.Success: evolutionary and structural properties of amino acids prove effective for succinylation site prediction.Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.Double-Windows-Based Motion Recognition in Multi-Floor Buildings Assisted by a Built-In Barometer.Improved feature-selection method considering the imbalance problem in text categorization.A Weighted Deep Representation Learning Model for Imbalanced Fault Diagnosis in Cyber-Physical Systems.Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV).Design of a Clinical Decision Support System for Fracture Prediction Using Imbalanced Dataset.Ensemble of Rotation Trees for Imbalanced Medical Datasets.A Supervised Learning Tool for Prostate Cancer Foci Detection and Aggressiveness Identification using Multiparametric magnetic resonance imaging/magnetic resonance spectroscopy imaging.A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data SetCombining Ranking with Traditional Methods for Ordinal Class ImbalanceOrdinal Class Imbalance with RankingA hybrid approach to learn with imbalanced classes using evolutionary algorithms
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Exploratory undersampling for class-imbalance learning.
@en
Exploratory undersampling for class-imbalance learning.
@nl
type
label
Exploratory undersampling for class-imbalance learning.
@en
Exploratory undersampling for class-imbalance learning.
@nl
prefLabel
Exploratory undersampling for class-imbalance learning.
@en
Exploratory undersampling for class-imbalance learning.
@nl
P2093
P1476
Exploratory undersampling for class-imbalance learning.
@en
P2093
Jianxin Wu
Xu-Ying Liu
Zhi-Hua Zhou
P304
P356
10.1109/TSMCB.2008.2007853
P577
2008-12-16T00:00:00Z