Bingzi Jin
Orcid: 0009-0005-1620-7772
According to our database1,
Bingzi Jin authored at least 15 papers
between 2024 and 2026.
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Bibliography
2026
Forecasting Residential Property Prices in Jiaxing City, China: A Hybrid Machine Learning Framework Integrating Gaussian Process Regressions and Bayesian Optimization.
J. Uncertain Syst., June, 2026
Discret. Math. Algorithms Appl., April, 2026
Predicting the Trading Volume of the Thermal Coal Futures Through Gaussian Process Regressions.
J. Uncertain Syst., March, 2026
2025
Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China.
Neural Comput. Appl., 2025
J. Uncertain Syst., 2025
J. Uncertain Syst., 2025
Bayesian-Optimized Gaussian Process Calibration for Forecasting Carbon Allowance Prices in Tianjin.
Int. J. Artif. Intell. Robotics Res., 2025
Int. J. Artif. Intell. Robotics Res., 2025
Predictions of Residential Property Prices for Ningbo City of Zhejiang Province in China Using Machine Learning.
Adv. Data Sci. Adapt. Anal., 2025
Predictive Modeling of Peanut Oil Prices Utilizing a Gaussian Process Regression-Based Machine Learning Framework.
Adv. Data Sci. Adapt. Anal., 2025
Machine Learning Copper Price Predictions: Evidence Based on Gaussian Process Regressions Tuned with Cross-Validation and Bayesian Optimization.
Adv. Data Sci. Adapt. Anal., 2025
2024
Predictions of steel price indices through machine learning for the regional northeast Chinese market.
Neural Comput. Appl., November, 2024
J. Uncertain Syst., September, 2024
Neural Comput. Appl., May, 2024