most citedThe Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance

26 citations · 84 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2024

Intelligent Optimization of Mine Environmental Damage Assessment and Repair Strategies Based on Deep Learning

Qishuo Cheng

In recent decades, financial quantification has emerged and matured rapidly. For financial institutions such as funds, investment institutions are increasingly dissatisfied with th…

cs.CR202421 cited

Comprehensive evaluation of Mal-API-2019 dataset by machine learning in malware detection

Zhenglin Li, Haibei Zhu, Houze Liu +2

This study conducts a thorough examination of malware detection using machine learning techniques, focusing on the evaluation of various classification models using the Mal-API-201…

q-fin.TR202426 cited

The Random Forest Model for Analyzing and Forecasting the US Stock Market in the Context of Smart Finance

Jiajian Zheng, Duan Xin, Qishuo Cheng +2

The stock market is a crucial component of the financial market, playing a vital role in wealth accumulation for investors, financing costs for listed companies, and the stable dev…

cs.CR202420 cited

AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning

Le Yang, Miao Tian, Duan Xin +2

The development of artificial intelligence has significantly transformed people's lives. However, it has also posed a significant threat to privacy and security, with numerous inst…

q-fin.CP202417 cited

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis

Qishuo Cheng, Le Yang, Jiajian Zheng +2

Portfolio management issues have been extensively studied in the field of artificial intelligence in recent years, but existing deep learning-based quantitative trading methods hav…