Results 111 to 120 of about 1,578 (156)
KLASIFIKASI TINGKAT KEPARAHAN KECELAKAAN LALU LINTAS BERBASIS CATBOOST PADA DATA YANG TIDAK SEIMBANG MENGGUNAKAN SMOTENC DAN OPTUNA [PDF]
Traffic accidents represent a complex issue in Surabaya, having a significant impact on public safety and socio-economic loss. A primary challenge in accident severity classification modeling is the phenomenon of data imbalance, where slight injury cases
Ayatillah, Maslahatul Kaunaini
core
Modified Prophet+Optuna Prediction Method for Sales Estimations
International Journal of Advanced Computer Science and Applications, 2022 Kohei Arai +4 more
openaire +1 more source
Hyperparameter optimisation is crucial for maximising machine learning model performance. Still, it is computationally intensive due to the iterative nature of hyperparameter optimisation methods like SMAC, SMBOX, and frameworks like Optuna. We introduce
Salhi, Tarek, Woodward, John; id_orcid
core +1 more source
Systematic Optimization of Ensemble Learning for Heart Failure Survival Prediction using SHAP and Optuna [PDF]
Heart failure (HF) stands as a major global health problem where precise and early prediction of patient prognosis is essential for improving clinical management and patient care.
Zaky, Umar, Setia, Bayu
core +1 more source
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)Optimal hyperparameter selection is critical for maximizing the performance of neural networks in computer vision, particularly as architectures become more complex. This work explores the use of large language models (LLMs) for hyperparameter optimization by fine-tuning a parameter-efficient version of Code Llama using LoRA.
Roman Kochnev +4 more
openaire +3 more sources
Objective: Fetal health classification is of great clinical importance as it allows the early detection and management of fetal health problems during pregnancy.This study aims to enhance fetal health classification by integrating Light Gradient Boosting
Aslan, Serpil +2 more
core +1 more source
Ain Shams Engineering JournalThis study introduces predictive modeling based on Extreme Gradient Boosting (XGBoost), which utilizes Optuna for hyperparameter optimization and evaluates performance against GridSearchCV and RandomizedSearchCV using a 500-day dataset.
Puja Supakar +2 more
doaj +1 more source
Purpose – This study aims to analyze user review sentiment toward the Gojek Driver application and compare the performance of two classification algorithms, Support Vector Machine (SVM) and Naïve Bayes, using Optuna as a framework for hyperparameter ...
Nadilla Madjid, Rudi Setiawan
core +1 more source
Interpretable machine learning for predicting EUR of shale gas wells in the Weiyuan block
Scientific ReportsFor shale gas development, it is essential to clarify the main controlling factors of EUR and realize its accurate prediction. Based on data from 123 wells in the Weiyuan block, this study combines Pearson correlation analysis, RF-RFE algorithm, and ...
Sijie He +5 more
doaj +1 more source
Optuna ML Framework for SCBA Concrete Strength
International Journal of Concrete Structures and MaterialsThe cement industry plays a crucial role in global CO2 emissions. As demand for cement continues to rise, innovative solutions are required to mitigate its environmental impact.
Isaac Ajibola Fakoya +3 more
doaj +1 more source