Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A comprehensive evaluation of sampling techniques in addressing class imbalance across diverse datasets
MS Mohosheu, MDA al Noman… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Class imbalance is a frequently occurring issue in predictive modeling. Learning from
imbalanced data is a challenging task that has attracted much interest from scholars. While a …
imbalanced data is a challenging task that has attracted much interest from scholars. While a …
ibrf: Improved balanced random forest classifier
A Newaz, MS Mohosheu… - 2024 35th Conference …, 2024 - ieeexplore.ieee.org
Class imbalance poses a major challenge in different classification tasks, which is a
frequently occurring scenario in many real-world applications. Data resampling is …
frequently occurring scenario in many real-world applications. Data resampling is …
A Novel Deep Learning Approach for Myocardial Infarction Detection and Multi-Label Classification
One of the main causes of death from cardiovascular diseases is Myocardial Infarction (MI),
which is brought on by coronary artery problems. Myocardial infarction is a pathological …
which is brought on by coronary artery problems. Myocardial infarction is a pathological …
Using Machine Learning to Evaluate the Value of Genetic Liabilities in the Classification of Hypertension within the UK Biobank
G MacCarthy, R Pazoki - Journal of Clinical Medicine, 2024 - mdpi.com
Background and Objective: Hypertension increases the risk of cardiovascular diseases
(CVD) such as stroke, heart attack, heart failure, and kidney disease, contributing to global …
(CVD) such as stroke, heart attack, heart failure, and kidney disease, contributing to global …
iCost: A Novel Instance Complexity Based Cost-Sensitive Learning Framework
Class imbalance in data presents significant challenges for classification tasks. It is fairly
common and requires careful handling to obtain desirable performance. Traditional …
common and requires careful handling to obtain desirable performance. Traditional …
[PDF][PDF] A Machine Learning Based Investigative Analysis for Predicting the Critical Temperature of Superconductors
INTRODUCTION: Ever since the initial discovery of superconductivity, the fundamental
concept and the complex relationship between critical temperature and superconductive …
concept and the complex relationship between critical temperature and superconductive …
Feature optimized hybrid model for prediction of myocardial infarction
S Mishra, M Pandey, SS Routaray - F1000Research, 2025 - f1000research.com
Background Cardiovascular disease is rampant worldwide and has become the leading
factor in increasing the global mortality rates. According to the World Heart Federation, death …
factor in increasing the global mortality rates. According to the World Heart Federation, death …
Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data
N ALdausari, F Coenen… - Proceedings of the …, 2024 - livrepository.liverpool.ac.uk
Previous research indicated that white blood cell counts and phenotypes can predict
complications after Myocardial Infarction (MI). However, progress is hindered by the need to …
complications after Myocardial Infarction (MI). However, progress is hindered by the need to …
Exploring New Frontiers in Imbalanced Learning: Data Complexity-Based Solutions
A Newaz - 2024 - 103.133.167.11
Class imbalance is a frequently occurring scenario in classification tasks. Learning from
imbalanced data poses quite a challenge which has instigated a lot of research in this area …
imbalanced data poses quite a challenge which has instigated a lot of research in this area …
[PDF][PDF] CLASSIFYING IN-HOSPITAL MYOCARDIAL INFARCTION COMPLICATION MORTALITY
R PEX - arno.uvt.nl
Myocardial Infarction (MI) is one of the most challenging medical emergencies where the
heart muscle begins to die due to a lack of blood flow. About 50% of the patients contract …
heart muscle begins to die due to a lack of blood flow. About 50% of the patients contract …