Results 31 to 40 of about 12,774 (258)
Addressing imbalanced data classification with Cluster-Based Reduced Noise SMOTE.
PLoS ONEIn recent years, the challenge of imbalanced data has become increasingly prominent in machine learning, affecting the performance of classification algorithms. This study proposes a novel data-level oversampling method called Cluster-Based Reduced Noise
Javad Hemmatian +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov +8 more
wiley +1 more source
A SMOTE PCA HDBSCAN approach for enhancing water quality classification in imbalanced datasets
Scientific ReportsClass imbalance poses a significant challenge in water quality classification, often leading to biased predictions and diminished accuracy for minority classes.
Norashikin Nasaruddin +3 more
doaj +1 more source
IEEE AccessClass-imbalance problems have become a key challenge in machine learning, often results in training too many majority samples and learning too few minority samples.
Yongjie Huang
doaj +1 more source
FADA-SMOTE-Ms: Fuzzy Adaptative Smote-Based Methods
IEEE AccessThe Synthetic Minority Over-Sampling Technique (SMOTE) is one of the most well-known methods to solve the unequal class distribution problem in imbalanced datasets. However, it has three shortcomings: (1) it may cause the over-generalization problem due to oversampling of noisy samples, (2) over-sampling of uninformative samples, and (3) increasing the
Roudani Mohammed, Karim El Moutaouakil
openaire +2 more sources
, 2023 FLEX-SMOTE: Synthetic Over-sampling TEchnique that Flexibly Adjusts to Different Minority Class Distributions
openaire +1 more source
Hepatic Glycogen Storage Diseases in Brazil: A Multicenter Study
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT To describe clinical and laboratory characteristics, emphasizing the evolution of patients with hepatic glycogen storage diseases (GSDs) followed in Brazilian reference centers. Multicenter, retrospective study involving 13 centers, using RedCap platform. 132 patients were included: 63 (47.8%) GSD type I (56 Ia, 7 Ib), 13 (9.8%) with type III (
Mariana Pena Costa +23 more
wiley +1 more source
PREDICTION OF HAJJ PILGRIMS' HEALTH RISK USING K-NN, DECISION TREE, CROSS VALIDATION, AND SMOTE
Techno Nusa Mandiri: Journal of Computing and Information TechnologyThe background of this study is predicting the health risk levels of hajj pilgrims, which is a significant challenge in improving healthcare services during the pilgrimage.
Widi Astuti, Fajar Sarasati
doaj +1 more source
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.ABSTRACT In epidemiological studies, obsessive‐compulsive disorder (OCD) is robustly associated with increased risk of cardiometabolic disorders, including cardiovascular diseases, type 2 diabetes, and obesity. However, the mechanisms behind these associations are unclear. We conducted genetic correlation analyses to explore shared genetic etiology and
Robyn E. Wootton +217 more
wiley +1 more source
A high‐fat diet with vitamin D and propylthiouracil produces a pro‐atherogenic phenotype in rats
Animal Models and Experimental Medicine, EarlyView.Male Sprague–Dawley rats received a cholesterol‐rich high‐fat diet supplemented with vitamin D and propylthiouracil for 11 weeks. The model induced dyslipidemia (increased total cholesterol/low‐density lipoprotein, decreased triglycerides), inflammation (increased interleukin‐6 and serum amyloid A), hypercalcemia, and reduced circulating endothelial ...
Angélique Lewies +3 more
wiley +1 more source