ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk
Fuente:
arXiv
Saved in:
| Main Author: | Mishra, Sanjay |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
by: Bui, Thanh Dan
Published: (2025)
by: Bui, Thanh Dan
Published: (2025)
ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder
by: Singh, Shubhankit, et al.
Published: (2026)
by: Singh, Shubhankit, et al.
Published: (2026)
RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)
by: Barnard, Amanda S
Published: (2026)
DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
by: Usman, Muhammad, et al.
Published: (2025)
by: Usman, Muhammad, et al.
Published: (2025)
Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
by: Pasupuleti, Vinil, et al.
Published: (2026)
by: Pasupuleti, Vinil, et al.
Published: (2026)
ReconXF: Graph Reconstruction Attack via Public Feature Explanations on Privatized Node Features and Labels
by: Sahoo, Rishi Raj, et al.
Published: (2025)
by: Sahoo, Rishi Raj, et al.
Published: (2025)
SCAFDS: Edge-Feature Graph Attention for Interbank Fraud Detection with Attribution-Grounded SAR Generation
by: Uddin, Mohammad Nasir
Published: (2026)
by: Uddin, Mohammad Nasir
Published: (2026)
Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)
by: Opperman, Christiaan P., et al.
Published: (2026)
Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support
by: Simethy, Gary, et al.
Published: (2026)
by: Simethy, Gary, et al.
Published: (2026)
Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)
by: Abdelhamid, Mohamed, et al.
Published: (2024)
DiMEx: Breaking the Cold Start Barrier in Data-Free Model Extraction via Latent Diffusion Priors
by: Thesia, Yash, et al.
Published: (2026)
by: Thesia, Yash, et al.
Published: (2026)
Membership Inference Attacks against Large Audio Language Models
by: Dong, Jia-Kai, et al.
Published: (2026)
by: Dong, Jia-Kai, et al.
Published: (2026)
Before the Last Token: Diagnosing Final-Token Safety Probe Failures
by: Doda, Shravan
Published: (2026)
by: Doda, Shravan
Published: (2026)
Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
by: Alsheikh, Ahmad, et al.
Published: (2025)
by: Alsheikh, Ahmad, et al.
Published: (2025)
Risk-Calibrated Bayesian Streaming Intrusion Detection with SRE-Aligned Decisions
by: Youssef, Michel
Published: (2025)
by: Youssef, Michel
Published: (2025)
Depth-Dependent Indirect Prompt Injection in Tool-Calling ReAct Agents: Injection Depth, Payload Framing, and Turn-Budget Sensitivity
by: Rashidi, Mohammadreza
Published: (2026)
by: Rashidi, Mohammadreza
Published: (2026)
Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
by: Sharma, Anika, et al.
Published: (2025)
by: Sharma, Anika, et al.
Published: (2025)
Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing
by: Shannon, Andrew, et al.
Published: (2024)
by: Shannon, Andrew, et al.
Published: (2024)
Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains
by: Sanna, Arun Chowdary
Published: (2025)
by: Sanna, Arun Chowdary
Published: (2025)
Closing the Distribution Gap in Adversarial Training for LLMs
by: Hu, Chengzhi, et al.
Published: (2026)
by: Hu, Chengzhi, et al.
Published: (2026)
Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
by: Ma, Yunjian
Published: (2026)
by: Ma, Yunjian
Published: (2026)
Scalable APT Malware Classification via Parallel Feature Extraction and GPU-Accelerated Learning
by: Subedar, Noah, et al.
Published: (2025)
by: Subedar, Noah, et al.
Published: (2025)
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
by: Nishiyama, Daiki, et al.
Published: (2022)
by: Nishiyama, Daiki, et al.
Published: (2022)
Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
by: Smits, William
Published: (2026)
by: Smits, William
Published: (2026)
A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
by: Xian, Zeqiang, et al.
Published: (2026)
by: Xian, Zeqiang, et al.
Published: (2026)
Towards Low-Latency and Adaptive Ransomware Detection Using Contrastive Learning
by: Pan, Zhixin, et al.
Published: (2025)
by: Pan, Zhixin, et al.
Published: (2025)
Teacher-Student Guided Inverse Modeling for Steel Final Hardness Estimation
by: Alsheikh, Ahmad, et al.
Published: (2025)
by: Alsheikh, Ahmad, et al.
Published: (2025)
A Dual-Path Generative Framework for Zero-Day Fraud Detection in Banking Systems
by: Ismail, Nasim Abdirahman, et al.
Published: (2026)
by: Ismail, Nasim Abdirahman, et al.
Published: (2026)
Selecting for Less Discriminatory Algorithms: A Relational Search Framework for Navigating Fairness-Accuracy Trade-offs in Practice
by: Samad, Hana, et al.
Published: (2025)
by: Samad, Hana, et al.
Published: (2025)
A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
by: Borah, Parashjyoti, et al.
Published: (2026)
by: Borah, Parashjyoti, et al.
Published: (2026)
Detecting Sleeper Agents in Large Language Models via Semantic Drift Analysis
by: Zanbaghi, Shahin, et al.
Published: (2025)
by: Zanbaghi, Shahin, et al.
Published: (2025)
FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models
by: Polly, Fabien
Published: (2026)
by: Polly, Fabien
Published: (2026)
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
by: Thil, Lucas, et al.
Published: (2025)
by: Thil, Lucas, et al.
Published: (2025)
AI Bill of Materials and Beyond: Systematizing Security Assurance through the AI Risk Scanning (AIRS) Framework
by: Nathanson, Samuel, et al.
Published: (2025)
by: Nathanson, Samuel, et al.
Published: (2025)
Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)
by: Lapin, Mykyta, et al.
Published: (2025)
Dr. Jekyll and Mr. Hyde: Two Faces of LLMs
by: Collu, Matteo Gioele, et al.
Published: (2023)
by: Collu, Matteo Gioele, et al.
Published: (2023)
Differentiable Stochastic Traffic Dynamics: Physics-Informed Generative Modelling in Transportation
by: Xin, Wuping
Published: (2026)
by: Xin, Wuping
Published: (2026)
First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
by: Caraker, Drake, et al.
Published: (2026)
by: Caraker, Drake, et al.
Published: (2026)
EXCODER: EXplainable Classification Of DiscretE time series Representations
by: Hahn, Yannik, et al.
Published: (2026)
by: Hahn, Yannik, et al.
Published: (2026)
DARE-EEG: A Foundation Model for Mining Dual-Aligned Representation of EEG
by: Shao, Yang, et al.
Published: (2026)
by: Shao, Yang, et al.
Published: (2026)
Similar Items
-
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
by: Bui, Thanh Dan
Published: (2025) -
ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder
by: Singh, Shubhankit, et al.
Published: (2026) -
RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026) -
DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
by: Usman, Muhammad, et al.
Published: (2025) -
Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
by: Pasupuleti, Vinil, et al.
Published: (2026)