Results 131 to 140 of about 539,097 (330)
Resampling Techniques Study on Class Imbalance Problem in Credit Risk Prediction
Credit risk prediction heavily relies on historical data provided by financial institutions. The goal is to identify commonalities among defaulting users based on existing information.
Zixue Zhao +4 more
doaj +1 more source
Uplift Modeling with High Class Imbalance.
Peer ...
Klami Arto +2 more
openaire +3 more sources
ABSTRACT Purpose Air pollution has been linked to several neurological conditions, including stroke and neurodegenerative diseases. Evidence regarding its association with multiple sclerosis (MS) remains conflicting, limited by small sample sizes. Methods PubMed, Embase, Scopus, and Cochrane controlled register of trials (CENTRAL) were searched on ...
Ahmad A. Toubasi, Thuraya N. Al‐Sayegh
wiley +1 more source
Accurate prediction of crash injury severity and understanding the seriousness of multi-classification injuries is vital for informing authorities and the public.
Kamran Aziz +5 more
doaj +1 more source
Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance
Qi Xu +5 more
openalex +2 more sources
Enhancing Financial Fraud Detection through Addressing Class Imbalance Using Hybrid SMOTE-GAN Techniques [PDF]
Patience Chew Yee Cheah +2 more
openalex +1 more source
FRAME: Feature Rectification for Class Imbalance Learning
Class imbalance learning is a challenging task in machine learning applications. To balance training data, traditional class imbalance learning approaches, such as class resampling or reweighting, are commonly applied in the literature. However, these methods can have significant limitations, particularly in the presence of noisy data, missing values ...
Xu Cheng 0003 +5 more
openaire +3 more sources
Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati +10 more
wiley +1 more source
Developmental and Epileptic Encephalopathy due to Biallelic Pathogenic Variants in PIGM
ABSTRACT Objective PIGM encodes a critical enzyme in the glycosylphosphatidylinositol (GPI)‐anchor biosynthesis pathway. While promoter‐region mutations in PIGM have been associated with a relatively mild phenotype characterized by portal vein thrombosis and absence seizures, recent evidence suggests that coding‐region mutations result in a more severe
Júlia Sala‐Coromina +11 more
wiley +1 more source
A class imbalance aware hybrid model for accurate rice variety classification
Rice classification plays a critical role in global agriculture, impacting the food security of over 3.5 billion people worldwide. As the complexity of this task has grown, advanced Machine Learning (ML) and Deep Learning (DL) models have emerged as ...
Hanumesh Vaidya +7 more
doaj +1 more source

