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An Explainability-Driven SHAP-Weighted Ensemble Framework for Fraud Detection: Insights into Model Contribution Dynamics

University of Johannesburg · South Africa · Imbalanced Data Classification Techniques

Ensemble learning has been widely adopted in fraud detection; however, conventional ensemble strategies rely

Forensic Accounting Techniques and Fraud Detection in Universities in Ibadan, Oyo State

Lead City University · Nigeria · Benford’s Law and Fraud Detection

This study examined the effect of forensic accounting techniques on fraud detection in universities

<scp>HADA</scp> : A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning

Jomo Kenyatta University of Agriculture and Technology · Kenya · Imbalanced Data Classification Techniques

ABSTRACT This paper introduces HADA, a novel hybrid unsupervised anomaly detection approach that addresses

An End-to-End Machine Learning System for Real-Time Credit Card Fraud Detection with Interactive Deployment

National Open University of Nigeria · Nigeria · Imbalanced Data Classification Techniques

Credit card fraud detection remains a persistent challenge in financial systems due to extremeclass

CT-TabGAN: enhanced tabular data modeling through conditional generative adversarial networks for imbalance mitigation

Alexandria University · Egypt · Imbalanced Data Classification Techniques

Abstract Deep learning for tabular data presents unique challenges compared to structured data like

Digital Forensics in Auditing: A Review of Ghana's Public Sector

Valley View University · Ghana · Benford’s Law and Fraud Detection

Auditing in the public sector remains vital for accountability, transparency, financial integrity, and economic

Forensic Accounting Techniques and Financial Crime Prevention in State Hospital Board Management: A Study of Selected States in South Western Nigeria

Ladoke Akintola University of Technology · Nigeria · Benford’s Law and Fraud Detection

Financial crimes within state hospital board management in Nigeria represent a particularly damaging form

A methodological framework for evaluating ADASYN and borderline-SMOTE oversampling techniques in imbalanced epidemiological data: a proof-of-concept study for lassa fever detection

University of Calabar · Nigeria · Imbalanced Data Classification Techniques

Class imbalance in epidemiological datasets poses a fundamental challenge to developing accurate predictive models

Addendum v4 à la Note Universelle VII — lectures trigonométrique et pythagoricienne ; cascade dyadique

University Frères Mentouri Constantine 1 · Algeria · Benford’s Law and Fraud Detection

Addendum v4 à la Note Universelle VII. Trois lectures équivalentes de la factorisation de

Dynamic F1-score-based voting strategies for multi-class classification: an adaptive ensemble approach for non-linear and imbalanced datasets

Kafr el-Sheikh University · Egypt · Imbalanced Data Classification Techniques

Classification is a core machine learning task, and ensemble voting methods are widely used

The Hidden Order of the Collatz Problem

University of Ilorin · Nigeria · Benford’s Law and Fraud Detection

**Version 1.1 (metadata update).** The paper now includes its Zenodo DOI on the title

Forensic Accounting Techniques and Fraud Detection in Universities in Ibadan, Oyo State

Lead City University · Nigeria · Benford’s Law and Fraud Detection

This study examined the effect of forensic accounting techniques on fraud detection in universities

Forensic Accounting Techniques and Financial Crime Prevention in State Hospital Board Management: A Study of Selected States in South Western Nigeria

Ladoke Akintola University of Technology · Nigeria · Benford’s Law and Fraud Detection

Financial crimes within state hospital board management in Nigeria represent a particularly damaging form

In-depth review of the credit card fraud detection and prevention systems security: Adversarial machine learning attacks, defenses and blockchain technologies integration

Mohammed V University · Morocco · Imbalanced Data Classification Techniques

Addendum v4 à la Note Universelle VII — lectures trigonométrique et pythagoricienne ; cascade dyadique

University Frères Mentouri Constantine 1 · Algeria · Benford’s Law and Fraud Detection

Addendum v4 à la Note Universelle VII. Trois lectures équivalentes de la factorisation de

The Hidden Order of the Collatz Problem

University of Ilorin · Nigeria · Benford’s Law and Fraud Detection

The Collatz map is one of the simplest unsolved problems in mathematics to state

Securing Transactions: A Novel Federated Approach to Credit Card Fraud Detection Using Metaheuristic Optimization Techniques

Benha University · Egypt · Imbalanced Data Classification Techniques

Credit card transaction fraud has resulted in a massive loss to both consumers and

Probabilistic Credit Card Fraud Detection System in Online Transactions

Federal University of Technology Akure · Nigeria · Imbalanced Data Classification Techniques

This paper discussed the past works on fraud detection system and highlights their deficiencies

An intelligent credit card fraud detection model using data mining and ensemble learning

Mansoura University · Egypt · Imbalanced Data Classification Techniques

The widespread use of credit cards has led to an increase in fraud. Credit

Inter-disciplinary approach in management of a case with anterior Bolton’s discrepancy. “A Case Report”

Muhimbili University of Health and Allied Sciences · Tanzania · Benford’s Law and Fraud Detection

The assessment of intermaxillary teeth width relationship is often overlooked during diagnosis and treatment

The Collatz Conjecture: Conquered by a Finite State Machine and Structural Confinement

Umaru Musa Yar'Adua University · Nigeria · Benford’s Law and Fraud Detection

The Collatz Conjecture, a long-standing open problem in number theory, asserts that every

Investigating financial reporting quality in the Egyptian banking industry in the pre- and post-COVID-19 periods using Benford’s law

Egypt-Japan University of Science and Technology · Egypt · Benford’s Law and Fraud Detection

Purpose This study aims to examine the financial reporting quality (FRQ) of the Egyptian

Recursive Approach for Proving Collatz Conjecture

Suez University · Egypt · Benford’s Law and Fraud Detection

In this study, the authors investigate the Collatz conjecture using a frequency-based iterative

Recursive Approach for Proving Collatz Conjecture

Suez University · Egypt · Benford’s Law and Fraud Detection

In this study, the authors investigate the Collatz conjecture using a frequency-based iterative