Results 171 to 180 of about 4,087 (203)

LSTM with forget gates optimized by Optuna for lithofacies prediction

2022
One of major technical competitions in energy industry relates to how optimally deep-learning architectures we can design. Optimization of hyperparameters is treated as labor-intensive. However, it is important to tune the parameters especially when we deal with relatively small targets, yet high-impact consequences can be resulted.
Yohei Nishitsuji, Jalil Nasseri
openaire   +1 more source

Slope Stability Assessment Using an Optuna-TPE-Optimized CatBoost Model

Eng
Slope stability assessment is a critical component of engineering safety. Conventional analytical methods frequently struggle to integrate heterogeneous slope data and model intricate failure mechanisms, thereby constraining their efficacy in practical ...
Zhang Chengliang
exaly   +2 more sources

An Antenna Optimization Method Based on Optuna-ANN

2023 IEEE 11th Asia-Pacific Conference on Antennas and Propagation (APCAP), 2023
Hailong Yang, Zhaokui Tian, Xuping Li, Haitian Liu   +3 more
openaire   +1 more source

OPTUNA optimization for predicting chemical respiratory toxicity using ML models

Journal of Computer-Aided Molecular Design
Predicting 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
openaire   +2 more sources

Scaling Up Optuna: P2P Distributed Hyperparameters Optimization

Concurrency and Computation: Practice and Experience
ABSTRACT 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.
openaire   +1 more source

Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
Chérubin Mugisha, Incheon Paik
openaire   +2 more sources

Modeling of Circularly Polarized Antenna Based on Optuna-MBNN

2023 International Applied Computational Electromagnetics Society Symposium (ACES-China), 2023
Hailong Yang, Zhaokui Tian, Tuo Yang, Shanzhe Wang, Jinsheng Zhang, Xuping Li   +5 more
openaire   +1 more source

Using Optuna and Genetic Algorithm together facilitate the classification of plant leaf diseases

International Journal of Hybrid Intelligent Systems
The 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, Amit Kumar Tyagi, N. Krishnaraj 0001   +2 more
openaire   +2 more sources

A Lightweight Method using LightGBM Model with Optuna in MOOCs Dropout Prediction

Proceedings of the 6th International Conference on Education and Multimedia Technology, 2022
Kary Ng, Philip Lei
openaire   +1 more source

Prediction of Cardiovascular Disease using XGBoost with OPTUNA

SN Computer Science
Anamika Jain, Akansha Singh, Aman Doherey   +2 more
openaire   +2 more sources