about
CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forestsAn efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseasesClassification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithmsContourlet textual features: improving the diagnosis of solitary pulmonary nodules in two dimensional CT imagesPrediction of preterm deliveries from EHG signals using machine learning.Joint use of over- and under-sampling techniques and cross-validation for the development and assessment of prediction modelsRadiomic analysis of soft tissues sarcomas can distinguish intermediate from high-grade lesions.Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.Predicting neurological Adverse Drug Reactions based on biological, chemical and phenotypic properties of drugs using machine learning models.Improving classification of mature microRNA by solving class imbalance problemAutomatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques.Probing an optimal class distribution for enhancing prediction and feature characterization of plant virus-encoded RNA-silencing suppressors.An Efficient Cost-Sensitive Feature Selection Using Chaos Genetic Algorithm for Class Imbalance Problem
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մարտին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
SMOTE for high-dimensional class-imbalanced data.
@ast
SMOTE for high-dimensional class-imbalanced data.
@en
type
label
SMOTE for high-dimensional class-imbalanced data.
@ast
SMOTE for high-dimensional class-imbalanced data.
@en
prefLabel
SMOTE for high-dimensional class-imbalanced data.
@ast
SMOTE for high-dimensional class-imbalanced data.
@en
P2860
P356
P1433
P1476
SMOTE for high-dimensional class-imbalanced data.
@en
P2093
Rok Blagus
P2860
P2888
P356
10.1186/1471-2105-14-106
P50
P577
2013-03-22T00:00:00Z
P5875
P6179
1002308843