Copertina

STRIKE: Additive Feature-Group-Aware Stacking Framework for Credit Default Prediction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Maiti, Swattik, Singh, Ritik Pratap, Alam, Fardina Fathmiul
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Beyond Perplexity: Character Distribution Signatures and the MDTA Benchmark for AI Text Detection
di: Narayanasamy, Priyadarshan, et al.
Pubblicazione: (2026)

Enhancing Credit Default Prediction Using Boruta Feature Selection and DBSCAN Algorithm with Different Resampling Techniques
di: Ampomah, Obu-Amoah, et al.
Pubblicazione: (2025)

KACDP: A Highly Interpretable Credit Default Prediction Model
di: Liu, Kun, et al.
Pubblicazione: (2024)

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

An Optimised Greedy-Weighted Ensemble Framework for Financial Loan Default Prediction
di: Nortey, Ezekiel Nii Noye, et al.
Pubblicazione: (2026)

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

Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection
di: Yang, Yue, et al.
Pubblicazione: (2025)

The Most Important Features in Generalized Additive Models Might Be Groups of Features
di: Bosschieter, Tomas M., et al.
Pubblicazione: (2025)

Time Series Feature Redundancy Paradox: An Empirical Study Based on Mortgage Default Prediction
di: Huang, Chengyue, et al.
Pubblicazione: (2024)

A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
di: Kündig, Pascal, et al.
Pubblicazione: (2024)

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models
di: Jia, Jingyun, et al.
Pubblicazione: (2026)

ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning
di: Sharma, Karan, et al.
Pubblicazione: (2026)

Kolmogorov-Arnold Networks-based GRU and LSTM for Loan Default Early Prediction
di: Yang, Yue, et al.
Pubblicazione: (2025)

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

Predicting Mortgage Default with Machine Learning: AutoML, Class Imbalance, and Leakage Control
di: Hu, Xianghong, et al.
Pubblicazione: (2026)

Malware Classification using a Hybrid Hidden Markov Model-Convolutional Neural Network
di: Mehta, Ritik, et al.
Pubblicazione: (2024)

CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines
di: Mishra, Ritik, et al.
Pubblicazione: (2025)

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
di: Shi, Yumeng, et al.
Pubblicazione: (2025)

Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
di: Zandi, Sahab, et al.
Pubblicazione: (2024)

AdaCred: Adaptive Causal Decision Transformers with Feature Crediting
di: Kumawat, Hemant, et al.
Pubblicazione: (2024)

Feature Ranking in Credit-Risk with Qudit-Based Networks
di: Maragkopoulos, Georgios, et al.
Pubblicazione: (2025)

Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing
di: Singh, Ankit Pratap, et al.
Pubblicazione: (2023)

Noisy Low Rank Column-wise Sensing
di: Singh, Ankit Pratap, et al.
Pubblicazione: (2024)

Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
di: Wang, Daixin, et al.
Pubblicazione: (2024)

AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing
di: Pak, Peter, et al.
Pubblicazione: (2025)

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

CHUCKLE -- When Humans Teach AI To Learn Emotions The Easy Way
di: Singh, Ankush Pratap, et al.
Pubblicazione: (2025)

EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration
di: Hasan, Mohammad Mehedi, et al.
Pubblicazione: (2025)

A Meta-learning based Stacked Regression Approach for Customer Lifetime Value Prediction
di: Gadgil, Karan, et al.
Pubblicazione: (2023)

Advancing RVFL networks: Robust classification with the HawkEye loss function
di: Akhtar, Mushir, et al.
Pubblicazione: (2024)

Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Model
di: Maheshwari, Saket, et al.
Pubblicazione: (2024)

Loss Given Default Prediction Under Measurement-Induced Mixture Distributions: An Information-Theoretic Approach
di: Marín, Javier
Pubblicazione: (2025)

Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
di: Yang, Tianyu, et al.
Pubblicazione: (2025)

Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities
di: Alam, Md Tauseef, et al.
Pubblicazione: (2024)

Enhancing Credit Risk Prediction: A Multi-stage Ensemble Pipeline
di: Wang, Haibo, et al.
Pubblicazione: (2025)

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

Credit Default Prediction with Projected Quantum Feature Models and Ensembles
di: Ferenczi, Andras, et al.
Pubblicazione: (2025)

Feature Staleness Aware Incremental Learning for CTR Prediction
di: Wang, Zhikai, et al.
Pubblicazione: (2025)

A Regime-Aware Fusion Framework for Time Series Classification
di: Chauhan, Honey Singh, et al.
Pubblicazione: (2025)