Acceptance rate: 61.24%
Time to First Decision: 2 week
Review Time: 4-8 weeks
Publication Time: 2-4 weeks
Citation Analysis:
>>Google Scholar,
>> Dimension,
>> Scopus
View all insights
Search
1 - 14 of 14 items
The Effect of Smote-Tomek on the Classification of Chronic Diseases Based on Health and Lifestyle Data
Abstract : 650
pdf : 678
Application of Adaboost Algorithm with SMOTE and Optuna Techniques in Sleep Disorder Classification
Abstract : 1310
pdf : 890
Effectiveness of SMOTE in Enhancing Adult Autism Spectrum Disorder Diagnosis Predictive Performance With Missforest Imputation And Random Forest
Abstract : 1696
pdf : 1125
Comparative Evaluation of TabKANet with Oversampling and Feature Selection Ablation for Software Defect Prediction
Abstract : 106
pdf : 213
Hybrid Feature Selection and Balancing Data Approach for Improved Software Defect Prediction
Abstract : 3340
pdf : 1232
Improving Diabetes Prediction Using Feedforward Neural Network with Adam Optimization and SMOTE Technique
Abstract : 1291
pdf : 864
A Two-Stage Hybrid Oversampling and Ensemble Learning Framework for Improved Type 2 Diabetes Mellitus Classification
Abstract : 432
pdf : 391
Diabetes Detection Using Extreme Gradient Boosting (XGBoost) with Hyperparameter Tuning
Abstract : 727
pdf : 652
Optimizing Categorical Boosting Model with Optuna for Anti-Tuberculosis Drugs Classification
Abstract : 1141
pdf : 2353
Evaluation of the Impact of SMOTEENN on Monkeypox Case Classification Performance Using Boosting Algorithms
Abstract : 1898
pdf : 1196
The Impactness of SMOTE as Imbalance Class Handling for Myocardial Infarction Complication Classification using Machine Learning Approach with Data Imputation and Hyperparameter
Abstract : 1797
pdf : 1017
An Explainable XGBoost Framework for Mortality Prediction in People Living with HIV Receiving Antiretroviral Therapy
Abstract : 64
pdf : 202
1 - 14 of 14 items





