Results 211 to 220 of about 32,654 (268)
Some of the next articles are maybe not open access.

Stock weighted average price prediction based on feature engineering and Lightgbm model

International Conference on Software Development for Enhancing Accessibility and Fighting Info-exclusion
Stock price prediction is essential yet challenging in financial markets, guiding investment decisions for stakeholders. While traditional methods rely on technical and fundamental analysis, the integration of big data and machine learning presents new ...
Hongyi Shui   +3 more
semanticscholar   +1 more source

Hybrid Model Integration of LightGBM, DeepFM, and DIN for Enhanced Purchase Prediction on the Elo Dataset

International Conference on Information Systems and Computer Aided Education
In the rapidly evolving landscape of personalized recommendation systems, accurately predicting user purchase behavior remains a critical challenge.
Jiaxin Lu   +4 more
semanticscholar   +1 more source

DFS-Enhanced Lightgbm: An Extended Lightgbm Model Applied to ICU Heart Failure Mortality Prediction

2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS), 2023
Zehang Lin, Shunzhi Zhu
openaire   +1 more source

Ensemble Methodology: Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble

2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)
In the realm of consumer lending, accurate credit default prediction stands as a critical element in risk mitigation and lending decision optimization.
Mengran Zhu   +5 more
semanticscholar   +1 more source

Disk failure prediction via Lightgbm model

International Conference on Mechanisms and Robotics (ICMAR 2022), 2022
Sitao Ji, Xingquan Zuo, Hai Huang
openaire   +1 more source

Flight delay prediction based on LightGBM

2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT), 2021
Jiang Tao, Hua Man, Li Yanling
openaire   +1 more source

A robust LightGBM model for concrete tensile strength forecast to aid in resilience-based structure strategies

Heliyon
The tensile strength (TS) of concrete is a factor in the design of civil engineering structures. Traditional methods for assessing concrete TS have notable limitations, leading to the emergence of non-destructive testing (NDT) as an innovative ...
Chukwuemeka Daniel
semanticscholar   +1 more source

Customer churn Research Based on LightGBM

2022 3rd International Conference on Computer Science and Management Technology (ICCSMT), 2022
Yingying Mei, Yuanyuan Wang
openaire   +1 more source

Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection

IEEE Access
Credit card fraud (CCF) is a significant threat to cardholders and financial institutions. CCF detection against this threat is challenging due to extremely imbalanced data (EID).
Xiaosong Zhao, Yong Liu, Qiangfu Zhao
semanticscholar   +1 more source

GBNet: XGBoost and LightGBM PyTorch Modules

GBNet is a Python package that integrates XGBoost and LightGBM with PyTorch. By leveraging PyTorch auto-differentiation, GBNet enables novel architectures for GBMs that were previously exclusive to pure Neural Networks. The result is a greatly expanded set of applications for GBMs and an improved ability to interpret expressive architectures due to the
openaire   +1 more source

Home - About - Disclaimer - Privacy