Imagen de Portada

Enhancing Credit Risk Prediction: A Multi-stage Ensemble Pipeline

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Haibo, Huang, Jun, Sua, Lutfu S., Balo, Figen, Dolar, Burak
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Impact of Trade and Financial Openness on Operational Efficiency and Growth: Evidence from Turkish Banks
por: Wang, Haibo, et al.
Publicado: (2025)

Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models
por: Sua, Lutfu, et al.
Publicado: (2025)

Renewable Energy Prediction: A Comparative Study of Deep Learning Models for Complex Dataset Analysis
por: Wang, Haibo, et al.
Publicado: (2025)

Enhancing supply chain security with automated machine learning
por: Wang, Haibo, et al.
Publicado: (2024)

Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
por: Alidaee, Bahram, et al.
Publicado: (2024)

Exploring Trade Openness and Logistics Efficiency in the G20 Economies: A Bootstrap ARDL Analysis of Growth Dynamics
por: Wang, Haibo, et al.
Publicado: (2025)

Spatiotemporal Impact of Trade Policy Variables on Asian Manufacturing Hubs: Bayesian Global Vector Autoregression Model
por: Sua, Lutfu S., et al.
Publicado: (2025)

Enhanced Credit Score Prediction Using Ensemble Deep Learning Model
por: Xing, Qianwen, et al.
Publicado: (2024)

Interpretable Credit Default Prediction with Ensemble Learning and SHAP
por: Yang, Shiqi, et al.
Publicado: (2025)

ARCO-BO: Adaptive Resource-aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design
por: Wang, Zihan, et al.
Publicado: (2025)

Dynamic Risk in the U.S. Banking System: An Analysis of Sentiment, Policy Shocks, and Spillover Effects
por: Wang, Haibo, et al.
Publicado: (2026)

Will Southeast Asia be the next global manufacturing hub? A multiway cointegration, causality, and dynamic connectedness analyses on factors influencing offshore decisions
por: Wang, Haibo, et al.
Publicado: (2024)

Incremental Hybrid Ensemble with Graph Attention and Frequency-Domain Features for Stable Long-Term Credit Risk Modeling
por: Wang, Jiajing
Publicado: (2025)

Foundation Models for Credit Risk Prediction: A Game Changer?
por: Baesens, Bart, et al.
Publicado: (2026)

A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection
por: Wang, Yuhan
Publicado: (2025)

Relational Graph Modeling for Credit Default Prediction: Heterogeneous GNNs and Hybrid Ensemble Learning
por: Yang, Yvonne, et al.
Publicado: (2026)

Optimizing Stroke Risk Prediction: A Machine Learning Pipeline Combining ROS-Balanced Ensembles and XAI
por: Akib, A S M Ahsanul Sarkar, et al.
Publicado: (2025)

A Novel Methodology in Credit Spread Prediction Based on Ensemble Learning and Feature Selection
por: Shao, Yu, et al.
Publicado: (2024)

A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction
por: Huang, Rui, et al.
Publicado: (2026)

Ensemble Methodology:Innovations in Credit Default Prediction Using LightGBM, XGBoost, and LocalEnsemble
por: Zhu, Mengran, et al.
Publicado: (2024)

Separated Inter/Intra-Modal Fusion Prompts for Compositional Zero-Shot Learning
por: Jung, Sua
Publicado: (2025)

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
por: Cheng, Gang, et al.
Publicado: (2025)

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
por: Zhang, Qingkai, et al.
Publicado: (2025)

Multi-model Ensemble Conformal Prediction in Dynamic Environments
por: Hajihashemi, Erfan, et al.
Publicado: (2024)

IntAttention: A Fully Integer Attention Pipeline for Efficient Edge Inference
por: Zhong, Wanli, et al.
Publicado: (2025)

A Multilayered Approach to Classifying Customer Responsiveness and Credit Risk
por: Afolabi, Ayomide, et al.
Publicado: (2026)

Enhancing ML Models Interpretability for Credit Scoring
por: Schwartz, Sagi, et al.
Publicado: (2025)

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
por: Wang, Ziyan, et al.
Publicado: (2023)

Ensemble Prediction of Task Affinity for Efficient Multi-Task Learning
por: Ayman, Afiya, et al.
Publicado: (2026)

Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
por: Liu, Bingyao, et al.
Publicado: (2024)

Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENN
por: Yu, Chang, et al.
Publicado: (2024)

Data Presentation Over Architecture: Resampling Strategies for Credit Risk Prediction with Tabular Foundation Models
por: Tanna, Aditya, et al.
Publicado: (2026)

A Dual Pipeline Machine Learning Framework for Automated Multi Class Sleep Disorder Screening Using Hybrid Resampling and Ensemble Learning
por: Ovi, Md Sultanul Islam, et al.
Publicado: (2026)

Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks
por: Ferguson, Kevin, et al.
Publicado: (2024)

Enhancing Customer Churn Prediction in Telecommunications: An Adaptive Ensemble Learning Approach
por: Shaikhsurab, Mohammed Affan, et al.
Publicado: (2024)

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
por: Golec, Muhammed, et al.
Publicado: (2025)

Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
por: Filter, Björn, et al.
Publicado: (2024)

LengthLogD: A Length-Stratified Ensemble Framework for Enhanced Peptide Lipophilicity Prediction via Multi-Scale Feature Integration
por: Wu, Shuang, et al.
Publicado: (2025)

Credit Risk Identification in Supply Chains Using Generative Adversarial Networks
por: Zhang, Zizhou, et al.
Publicado: (2025)

Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
por: Sun, Mengfang, et al.
Publicado: (2024)