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Machine Learning-Based Pitting Rate Classification and Prediction for 316L Stainless Steel in NaClO₃ and NaCl Environment. [PDF]

Materials (Basel)
Zhang C, Yao J, Zhang Z.
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Automating hyperparameter optimization in geophysics with Optuna: A comparative study

Geophysical Prospecting
AbstractDeep learning has gained attraction amongst geophysicists for solving complex longstanding problems. Nevertheless, proper hyperparameter optimization methodologies remain critically underexplored in geophysical deep learning research. This paper attempts to first highlight the importance of hyperparameter optimization and then showcase two ...
Hussain Almarzooq
exaly   +2 more sources

Scaling Up Optuna: P2P Distributed Hyperparameters Optimization

Concurrency 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.
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
exaly   +2 more sources

hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost

Biomedical Signal Processing and Control, 2022
Rahul Katarya
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Plant Leaf Disease Detection Using XGBoost with OPTUNA Hyperparameter Optimization

SN Computer Science
Parijata Majumdar
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OLGBM: Optuna Optimized Light Gradient Boosting Machine for Intrusion Detection

2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2021
Network technology has been evolved exponentially in the past few decades. At the same time, gazillions of network intrusion incidents are continuously forming cyberspace a shocking vulnerable domain to explore for the personnel from armature to the professionals. Consequently, networks mostly become botnet when there are no Intrusion Detection Systems
Arifin, Md Mashrur, Based, Md Abdul, Mumenin, Khondoker Mirazul, Imran, Ali, Azim, Mohammad Abdul, Alom, Zulfikar, Abdul Awal, Md   +6 more
openaire   +3 more sources

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

Hybrid Stacking Model with Optuna Optimization for Open Stope Stability Prediction

Rock Mechanics and Rock Engineering
Weizhang Liang, Mitri Hani S, Liang Weizhang   +2 more
exaly   +2 more sources