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 - 14 of 14 items
Bitcoin Mining Hardware Profitability Prediction Using Categorical Boosting and Extreme Gradient Boosting Algorithms
Abstract : 1303
pdf : 895
Evaluation of the Impact of SMOTEENN on Monkeypox Case Classification Performance Using Boosting Algorithms
Abstract : 1898
pdf : 1196
Optimizing Categorical Boosting Model with Optuna for Anti-Tuberculosis Drugs Classification
Abstract : 1141
pdf : 2353
An Empirical Study of Cross-Project and Within-Project Performance in Software Defect Prediction Models Using Tree-Based and Boosting Classifiers
Abstract : 1002
pdf : 1500
Diabetes Detection Using Extreme Gradient Boosting (XGBoost) with Hyperparameter Tuning
Abstract : 727
pdf : 652
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
A Two-Stage Hybrid Oversampling and Ensemble Learning Framework for Improved Type 2 Diabetes Mellitus Classification
Abstract : 432
pdf : 391
Combinations of Optimization Method and Balancing Technique in Hypertension Classification with Machine Learning
Abstract : 1194
pdf : 872
The Effect of Smote-Tomek on the Classification of Chronic Diseases Based on Health and Lifestyle Data
Abstract : 650
pdf : 678
Machine Learning Implementation for Sentiment Analysis on X/Twitter: Case Study of Class Of Champions Event in Indonesia
Abstract : 2276
pdf : 2003
Hyperparameter optimization of breast ultrasound image classification models using ant colony optimization based on texture features
Abstract : 1334
pdf : 669
1 - 14 of 14 items





