Imbalanced Data Classification Techniques: African research

Research in Imbalanced Data Classification Techniques

Cost-sensitive learning for imbalanced medical data: a review
Mohammed V University · Morocco · Imbalanced Data Classification Techniques
2024113OpenSummary
Federated learning model for credit card fraud detection with data balancing techniques
Benha University · Egypt · Imbalanced Data Classification Techniques
202482OpenSummary
A systematic review of AI-enhanced techniques in credit card fraud detection
Egypt-Japan University of Science and Technology · Egypt · Imbalanced Data Classification Techniques
202568OpenSummary
Enhancing Medicare Fraud Detection Through Machine Learning: Addressing Class Imbalance With SMOTE-ENN
University of Tunis El Manar · Tunisia · Imbalanced Data Classification Techniques
202453OpenSummary
Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine
Debre Berhan University · Ethiopia · Imbalanced Data Classification Techniques
202259OpenSummary
A Novel Framework for Credit Card Fraud Detection
Abdelmalek Essaâdi University · Morocco · Imbalanced Data Classification Techniques
202341OpenSummary
Comparative analysis of credit card fraud detection in Simulated Annealing trained Artificial Neural Network and Hierarchical Temporal Memory
National Open University of Nigeria · Nigeria · Imbalanced Data Classification Techniques
202149OpenSummary
A framework for detecting credit card fraud with cost-sensitive meta-learning ensemble approach
Federal University of Technology Akure · Nigeria · Imbalanced Data Classification Techniques
202054OpenSummary
Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria
Elizade University · Nigeria · Imbalanced Data Classification Techniques
202522OpenSummary
Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms
Assiut University · Egypt · Imbalanced Data Classification Techniques
202419OpenSummary
End-to-End Real-time Architecture for Fraud Detection in Online Digital Transactions
Ibn Tofail University · Morocco · Imbalanced Data Classification Techniques
202320OpenSummary
CCFD: Efficient Credit Card Fraud Detection Using Meta-Heuristic Techniques and Machine Learning Algorithms
Kafr el-Sheikh University · Egypt · Imbalanced Data Classification Techniques
202416OpenSummary
Improving Credit Card Fraud Detection with Ensemble Deep Learning-Based Models: A Hybrid Approach Using SMOTE-ENN
Nazi Boni University · Burkina Faso · Imbalanced Data Classification Techniques
202512Open
Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion
Ibn Tofail University · Morocco · Imbalanced Data Classification Techniques
202414Open
Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values
Suez Canal University · Egypt · Imbalanced Data Classification Techniques
202412Open
Analytical formulation of synthetic minority oversampling technique (SMOTE) for imbalanced learning
Cairo University · Egypt · Imbalanced Data Classification Techniques
20259Open
Adaptive, Privacy-Enhanced Real-Time Fraud Detection in Banking Networks Through Federated Learning and VAE-QLSTM Fusion
Ibn Tofail University · Morocco · Imbalanced Data Classification Techniques
20259Open
Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector
Assiut University · Egypt · Imbalanced Data Classification Techniques
202410Open
Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint
University of Ghana · Ghana · Imbalanced Data Classification Techniques
20258Open
Ensemble Partition Sampling (EPS) for Improved Multi-Class Classification
Université Sultan Moulay Slimane · Morocco · Imbalanced Data Classification Techniques
202311Open
Effect of Missing Data Types and Imputation Methods on Supervised Classifiers: An Evaluation Study
British University in Egypt · Egypt · Imbalanced Data Classification Techniques
202311Open
Online banking fraud detection: A comparative study of cases from South Africa and Spain
Tshwane University of Technology · South Africa · Imbalanced Data Classification Techniques
20248Open
A benchmark of health insurance fraud detection using machine learning techniques
Hassan II University Casablanca · Morocco · Imbalanced Data Classification Techniques
20248Open
Optimizing credit card fraud detection: a deep learning approach to imbalanced datasets
Abdelmalek Essaâdi University · Morocco · Imbalanced Data Classification Techniques
20248Open

Search Africa's research. Find the people behind it.

Research in Imbalanced Data Classification Techniques

Cost-sensitive learning for imbalanced medical data: a review

Federated learning model for credit card fraud detection with data balancing techniques

A systematic review of AI-enhanced techniques in credit card fraud detection

Enhancing Medicare Fraud Detection Through Machine Learning: Addressing Class Imbalance With SMOTE-ENN

Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine

A Novel Framework for Credit Card Fraud Detection

Comparative analysis of credit card fraud detection in Simulated Annealing trained Artificial Neural Network and Hierarchical Temporal Memory

A framework for detecting credit card fraud with cost-sensitive meta-learning ensemble approach

Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria

Enhancing fraud detection in auto insurance and credit card transactions: a novel approach integrating CNNs and machine learning algorithms

End-to-End Real-time Architecture for Fraud Detection in Online Digital Transactions

CCFD: Efficient Credit Card Fraud Detection Using Meta-Heuristic Techniques and Machine Learning Algorithms

Improving Credit Card Fraud Detection with Ensemble Deep Learning-Based Models: A Hybrid Approach Using SMOTE-ENN

Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion

Machine Learning Based Method for Insurance Fraud Detection on Class Imbalance Datasets With Missing Values

Analytical formulation of synthetic minority oversampling technique (SMOTE) for imbalanced learning

Adaptive, Privacy-Enhanced Real-Time Fraud Detection in Banking Networks Through Federated Learning and VAE-QLSTM Fusion

Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector

Addressing Class Imbalance Problem in Health Data Classification: Practical Application From an Oversampling Viewpoint

Ensemble Partition Sampling (EPS) for Improved Multi-Class Classification

Effect of Missing Data Types and Imputation Methods on Supervised Classifiers: An Evaluation Study

Online banking fraud detection: A comparative study of cases from South Africa and Spain

A benchmark of health insurance fraud detection using machine learning techniques

Optimizing credit card fraud detection: a deep learning approach to imbalanced datasets

Search Africa's research.
Find the people behind it.