Acceptance rate: 61.24%
Time to First Decision: 2 week
Review Time: 4-8 weeks
Publication Time: 2-4 weeks
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1 - 12 of 12 items
Application of Adaboost Algorithm with SMOTE and Optuna Techniques in Sleep Disorder Classification
Abstract : 1283
pdf : 664
The Effect of Smote-Tomek on the Classification of Chronic Diseases Based on Health and Lifestyle Data
Abstract : 605
pdf : 469
Hybrid Feature Selection and Balancing Data Approach for Improved Software Defect Prediction
Abstract : 3275
pdf : 1013
Effectiveness of SMOTE in Enhancing Adult Autism Spectrum Disorder Diagnosis Predictive Performance With Missforest Imputation And Random Forest
Abstract : 1643
pdf : 860
Improving Diabetes Prediction Using Feedforward Neural Network with Adam Optimization and SMOTE Technique
Abstract : 1240
pdf : 646
Diabetes Detection Using Extreme Gradient Boosting (XGBoost) with Hyperparameter Tuning
Abstract : 709
pdf : 463
Optimizing Categorical Boosting Model with Optuna for Anti-Tuberculosis Drugs Classification
Abstract : 1110
pdf : 2022
A Two-Stage Hybrid Oversampling and Ensemble Learning Framework for Improved Type 2 Diabetes Mellitus Classification
Abstract : 378
pdf : 240
The Impactness of SMOTE as Imbalance Class Handling for Myocardial Infarction Complication Classification using Machine Learning Approach with Data Imputation and Hyperparameter
Abstract : 1755
pdf : 811
Machine Learning Implementation for Sentiment Analysis on X/Twitter: Case Study of Class Of Champions Event in Indonesia
Abstract : 2216
pdf : 1735
1 - 12 of 12 items





