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 - 11 of 11 items
Bitcoin Mining Hardware Profitability Prediction Using Categorical Boosting and Extreme Gradient Boosting Algorithms
Abstract : 1308
pdf : 929
The Impactness of SMOTE as Imbalance Class Handling for Myocardial Infarction Complication Classification using Machine Learning Approach with Data Imputation and Hyperparameter
Abstract : 1814
pdf : 1044
Diabetes Detection Using Extreme Gradient Boosting (XGBoost) with Hyperparameter Tuning
Abstract : 731
pdf : 685
An Explainable XGBoost Framework for Mortality Prediction in People Living with HIV Receiving Antiretroviral Therapy
Abstract : 75
pdf : 255
Machine Learning Implementation for Sentiment Analysis on X/Twitter: Case Study of Class Of Champions Event in Indonesia
Abstract : 2286
pdf : 2040
Analysis of the Application of Machine Learning Algorithms for Classification of Toddler Nutritional Status Based on Anthropometric Data
Abstract : 707
pdf : 1051
An Empirical Study of Cross-Project and Within-Project Performance in Software Defect Prediction Models Using Tree-Based and Boosting Classifiers
Abstract : 1012
pdf : 1539
Application of Adaboost Algorithm with SMOTE and Optuna Techniques in Sleep Disorder Classification
Abstract : 1319
pdf : 925
Evaluation of the Impact of SMOTEENN on Monkeypox Case Classification Performance Using Boosting Algorithms
Abstract : 1907
pdf : 1221
1 - 11 of 11 items





