Imbalanced Data Classification Techniques: African research

Research in Imbalanced Data Classification Techniques

Auto Insurance Fraud Detection using Machine learning Contrasting US and Moroccan Companies
Al Akhawayn University · Morocco · Imbalanced Data Classification Techniques
20242Open
Credit Card Fraud: Analysis of Feature Extraction Techniques for Ensemble Hidden Markov Model Prediction Approach
Cape Peninsula University of Technology · South Africa · Imbalanced Data Classification Techniques
20242Open
Combining Supervised and Unsupervised Machine Learning Methods for Improving Credit Card Fraud Detection
Abdelmalek Essaâdi University · Morocco · Imbalanced Data Classification Techniques
20242
Enhanced Banking Security: Isolation Forest with Attention Mechanism for Sophisticated Fraud Detection
Ibn Tofail University · Morocco · Imbalanced Data Classification Techniques
20242
A deep residual 1D-CNN with self-attention for fraud transaction detection in virtual economies
University of Sadat City · Egypt · Imbalanced Data Classification Techniques
20261Open
Adaptive Credit Card Fraud Detection: Reinforcement Learning Agents vs. Anomaly Detection Techniques
Ibn Tofail University · Morocco · Imbalanced Data Classification Techniques
20261Open
Optimisation and Resampling methods for Handling Imbalanced Datasets in Credit Card Fraud Detection using Artificial Neural Networks
Abdelmalek Essaâdi University · Morocco · Imbalanced Data Classification Techniques
20232
Beyond the hypes on data rebalancing in imbalance learning: towards a balanced framework and recommender system
Kwara State University · Nigeria · Imbalanced Data Classification Techniques
20251
Effectiveness of the fraud triangle model in the detection of financial statement fraud in South African municipalities
University of Venda · South Africa · Imbalanced Data Classification Techniques
20251Open
Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation
University of Carthage · Tunisia · Imbalanced Data Classification Techniques
20251Open
Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles
University of South Africa · South Africa · Imbalanced Data Classification Techniques
20251Open
Forensic Investigation and Fraud Detection in Nigeria: Leveraging on Artificial Intelligence
Chukwuemeka Odumegwu Ojukwu University · Nigeria · Imbalanced Data Classification Techniques
20251Open
Leveraging data analytics for fraud detection: The future of financial risk mitigation and regulatory compliance
University of Abuja · Nigeria · Imbalanced Data Classification Techniques
20251Open
Performance Analysis of ML Algorithms for Fraud Detection in Digital Financial Transactions
University of Pretoria · South Africa · Imbalanced Data Classification Techniques
20251
Credit Card Fraud Detection Based on a Hybrid CNN-RNN Deep Learning Model
Suez University · Egypt · Imbalanced Data Classification Techniques
20251Open
Marrying deep learning within blockchain technology for credit card fraud prevention
Université Sultan Moulay Slimane · Morocco · Imbalanced Data Classification Techniques
20251Open
Behavior Path Analysis for Blockchain Fraud Detection Using Graph Neural Architectures
Midlands State University · Zimbabwe · Imbalanced Data Classification Techniques
20251Open
Data Mining for Financial Fraud Detection: Techniques, Case Studies and Challenges
University of Lagos · Nigeria · Imbalanced Data Classification Techniques
20251Open
Multi-Relation Graph Transformer and Edge Aware Learning: A Scalable Approach for Detecting Fraud in Heterogeneous Graphs
Federal University of Technology Owerri · Nigeria · Imbalanced Data Classification Techniques
20251
A Hybrid Bayesian Machine Learning Framework for Simultaneous Job Title Classification and Salary Estimation
Mansoura University · Egypt · Imbalanced Data Classification Techniques
20251Open
Spectrum-Constrained and Skip-Enhanced Graph Fraud Detection: Addressing Heterophily in Fraud Detection with Spectral and Spatial Modeling
Federal University of Technology Owerri · Nigeria · Imbalanced Data Classification Techniques
20251Open
Fraud Detection in Financial Transactions Using Ensemble Machine Learning Models
Chukwuemeka Odumegwu Ojukwu University · Nigeria · Imbalanced Data Classification Techniques
20251Open
A Metaheuristic for Fuzzy Density Based SVM and Confidence SMOTE for Early Prediction of Diabetes
Abdelmalek Essaâdi University · Morocco · Imbalanced Data Classification Techniques
20241Open
Detecting Fraud in Automated Teller Machine Transactions in the Nigerian Bank System Using Unsupervised Deep Learning
Ladoke Akintola University of Technology · Nigeria · Imbalanced Data Classification Techniques
20241Open

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

Research in Imbalanced Data Classification Techniques

Auto Insurance Fraud Detection using Machine learning Contrasting US and Moroccan Companies

Credit Card Fraud: Analysis of Feature Extraction Techniques for Ensemble Hidden Markov Model Prediction Approach

Combining Supervised and Unsupervised Machine Learning Methods for Improving Credit Card Fraud Detection

Enhanced Banking Security: Isolation Forest with Attention Mechanism for Sophisticated Fraud Detection

A deep residual 1D-CNN with self-attention for fraud transaction detection in virtual economies

Adaptive Credit Card Fraud Detection: Reinforcement Learning Agents vs. Anomaly Detection Techniques

Optimisation and Resampling methods for Handling Imbalanced Datasets in Credit Card Fraud Detection using Artificial Neural Networks

Beyond the hypes on data rebalancing in imbalance learning: towards a balanced framework and recommender system

Effectiveness of the fraud triangle model in the detection of financial statement fraud in South African municipalities

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation

Detecting Imbalanced Credit Card Fraud via Hybrid Graph Attention and Variational Autoencoder Ensembles

Forensic Investigation and Fraud Detection in Nigeria: Leveraging on Artificial Intelligence

Leveraging data analytics for fraud detection: The future of financial risk mitigation and regulatory compliance

Performance Analysis of ML Algorithms for Fraud Detection in Digital Financial Transactions

Credit Card Fraud Detection Based on a Hybrid CNN-RNN Deep Learning Model

Marrying deep learning within blockchain technology for credit card fraud prevention

Behavior Path Analysis for Blockchain Fraud Detection Using Graph Neural Architectures

Data Mining for Financial Fraud Detection: Techniques, Case Studies and Challenges

Multi-Relation Graph Transformer and Edge Aware Learning: A Scalable Approach for Detecting Fraud in Heterogeneous Graphs

A Hybrid Bayesian Machine Learning Framework for Simultaneous Job Title Classification and Salary Estimation

Spectrum-Constrained and Skip-Enhanced Graph Fraud Detection: Addressing Heterophily in Fraud Detection with Spectral and Spatial Modeling

Fraud Detection in Financial Transactions Using Ensemble Machine Learning Models

A Metaheuristic for Fuzzy Density Based SVM and Confidence SMOTE for Early Prediction of Diabetes

Detecting Fraud in Automated Teller Machine Transactions in the Nigerian Bank System Using Unsupervised Deep Learning

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