Optuna-XGBoost porosity prediction for logging profiles of carbonate formations
2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)Tao Xie, Suxia Xing, Chongchong Yu
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OPTUNA optimization for predicting chemical respiratory toxicity using ML models
Journal of Computer-Aided Molecular DesignPredicting molecular toxicity is an important stage in the process of drug discovery. It is directly related to medical destiny and human health. This paper presents an enhanced model for chemical respiratory toxicity prediction. It used a combination of molecular descriptors and term frequency - inverse document frequency (TF-IDF) based models with ...
Eman Shehab, Hamada Nayel, Mohamed Taha
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An Antenna Optimization Method Based on Optuna-ANN
2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation (APCAP), 2023Hailong Yang +3 more
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Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022Chérubin Mugisha, Incheon Paik
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A Lightweight Method using LightGBM Model with Optuna in MOOCs Dropout Prediction
Proceedings of the 6th International Conference on Education and Multimedia Technology, 2022Kary Ng, Philip Lei
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Scaling Up Optuna: P2P Distributed Hyperparameters Optimization
Concurrency and Computation: Practice and ExperienceABSTRACT In machine learning (ML), hyperparameter optimization (HPO) is the process of choosing a tuple of values that ensures an efficient deployment and training of an AI model. In practice, HPO not only applies to ML tuning but can also be used to tune complex numerical simulations.
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Modeling of Circularly Polarized Antenna Based on Optuna-MBNN
2023 International Applied Computational Electromagnetics Society Symposium (ACES-China), 2023Hailong Yang +5 more
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Using Optuna and Genetic Algorithm together facilitate the classification of plant leaf diseases
International Journal of Hybrid Intelligent SystemsThe identification and severity assessment of plant leaf diseases is crucial to food security and sustainable agriculture. This study shows an innovative way to improve plant leaf disease detection. The recommended method uses Optuna for parameter optimization and the Genetic Algorithm for feature selection to improve plant leaf disease identification.
Priyanga Subbiah +2 more
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Prediction of Cardiovascular Disease using XGBoost with OPTUNA
SN Computer ScienceAnamika Jain +2 more
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Diabetes Classification Problem with CatBoost Method and Optuna Gradient Boosting Optimization
2023 6th International Conference on Information and Communications Technology (ICOIACT), 2023Safar Dwi Kurniawan +3 more
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