Cover Image

An Explainable Market Integrity Monitoring System with Multi-Source Attention Signals and Transparent Scoring

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Neela, Sandeep
Format:	Preprint
Published:	2026
Subjects:	Risk Management Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Systemic Risk Radar: A Multi-Layer Graph Framework for Early Market Crash Warning
by: Neela, Sandeep
Published: (2025)

Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring
by: Li, Xia, et al.
Published: (2025)

Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
by: Li, Xia, et al.
Published: (2025)

Calibrated Credit Intelligence: Shift-Robust and Fair Risk Scoring with Bayesian Uncertainty and Gradient Boosting
by: Nayak, Srikumar
Published: (2026)

Design and Optimization of Big Data and Machine Learning-Based Risk Monitoring System in Financial Markets
by: Wang, Liyang, et al.
Published: (2024)

Reliable Real-Time Value at Risk Estimation via Quantile Regression Forest with Conformal Calibration
by: Wang, Du-Yi, et al.
Published: (2026)

On the Potential of Network-Based Features for Fraud Detection
by: Azarm, Catayoun, et al.
Published: (2024)

Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm
by: Cheng, Yu, et al.
Published: (2024)

Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions
by: Kuiper, Patrick, et al.
Published: (2024)

HyPV-LEAD: Proactive Early-Warning of Cryptocurrency Anomalies through Data-Driven Structural-Temporal Modeling
by: Park, Minjung, et al.
Published: (2025)

Bayesian Modeling for Uncertainty Management in Financial Risk Forecasting and Compliance
by: Mamun, Sharif Al, et al.
Published: (2025)

A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective
by: Du, Huaming, et al.
Published: (2022)

Differentiable Inductive Logic Programming for Fraud Detection
by: Wolfson, Boris, et al.
Published: (2024)

Utilizing Effective Dynamic Graph Learning to Shield Financial Stability from Risk Propagation
by: Yu, Guanyuan, et al.
Published: (2025)

Deep Reinforcement Learning for Optimal Asset Allocation Using DDPG with TiDE
by: Liu, Rongwei, et al.
Published: (2025)

RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data
by: Cao, Yupeng, et al.
Published: (2024)

Large-scale Time-Varying Portfolio Optimisation using Graph Attention Networks
by: Korangi, Kamesh, et al.
Published: (2024)

Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)

Machine Learning based Enterprise Financial Audit Framework and High Risk Identification
by: Yuan, Tingyu, et al.
Published: (2025)

HabitatAgent: An End-to-End Multi-Agent System for Housing Consultation
by: Yang, Hongyang, et al.
Published: (2026)

The Fairness of Credit Scoring Models
by: Hurlin, Christophe, et al.
Published: (2022)

Explainable Risk Classification in Financial Reports
by: Tan, Xue Wen, et al.
Published: (2024)

Sampler-Robust Optimization under Generative Models
by: Zhang, Ziwei, et al.
Published: (2026)

Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
by: Wang, Shiqi, et al.
Published: (2025)

Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending
by: Sanz-Guerrero, Mario, et al.
Published: (2024)

Insuring Uninsurable Risks from AI: Government as Insurer of Last Resort
by: Trout, Cristian
Published: (2024)

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

Machine and Deep Learning for Credit Scoring: A compliant approach
by: Rida, Abdollah
Published: (2024)

Right Place, Right Time: Market Simulation-based RL for Execution Optimisation
by: Olby, Ollie, et al.
Published: (2025)

Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
by: Geng, Wenxi, et al.
Published: (2026)

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach
by: Tan, Xue Wen, et al.
Published: (2025)

ProbFM: Probabilistic Time Series Foundation Model with Uncertainty Decomposition
by: Chinta, Arundeep, et al.
Published: (2026)

Machine Learning Based Stress Testing Framework for Indian Financial Market Portfolios
by: G, Vidya Sagar, et al.
Published: (2025)

AIMM: An AI-Driven Multimodal Framework for Detecting Social-Media-Influenced Stock Market Manipulation
by: Neela, Sandeep
Published: (2025)

Application of AI in Credit Risk Scoring for Small Business Loans: A case study on how AI-based random forest model improves a Delphi model outcome in the case of Azerbaijani SMEs
by: Karimova, Nigar
Published: (2024)

Statistical Inference for Score Decompositions
by: Dimitriadis, Timo, et al.
Published: (2026)

Risk-sensitive Reinforcement Learning Based on Convex Scoring Functions
by: Han, Shanyu, et al.
Published: (2025)

Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
by: Boonen, Tim J., et al.
Published: (2025)

Representation learning with a transformer by contrastive learning for money laundering detection
by: Guéneau, Harold, et al.
Published: (2025)

Debiasing Alternative Data for Credit Underwriting Using Causal Inference
by: Lam, Chris
Published: (2024)