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Imbalanced Data Classification Techniques

Работ: 69

  1. A Hybrid Ensemble Framework for Rare Event Detection in Large-Scale Tabular Data

    Natalya Maxutova, Аkmaral Kassymova, Kuanysh Kadirkulov +6

    СтатьяExplainable Artificial Intelligence (XAI)Computers2026Цитирований: 0
    ABI

  2. Fraud Detection using Risk Based Binary Classification

    Gurpreet Kaur

    СтатьяImbalanced Data Classification TechniquesInternational Journal for Research in Applied Science and Engineering Technology2026Цитирований: 0
    ABI

  3. An Intelligent Optimization-Based Deep Belief Network for Fraud Detection in Financial Transaction Systems

    Hafis Hajiyev, Emil Hajiyev, Mirzobek Avezov +2

    СтатьяImbalanced Data Classification TechniquesEngineering Technology & Applied Science Research2026Цитирований: 0
    ABI

  4. FRAUD DETECTION AND TRANSACTION MONITORING SYSTEMS

    Safarov Dilshod Narzullayevich

    СтатьяBenford’s Law and Fraud DetectionOpen MIND2026Цитирований: 0
    ABI

  5. FRAUD DETECTION AND TRANSACTION MONITORING SYSTEMS

    Safarov Dilshod Narzullayevich

    СтатьяBenford’s Law and Fraud DetectionZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  6. Real-Time Synthetic Identity Fraud Detection Using Recurrent Neural Networks for Sequential Data Analysis

    Vamsi Krishna Chidipothu, Cheemaladinne Vengaiah, Kathari Santosh +3

    СтатьяImbalanced Data Classification Techniques2026Цитирований: 0
    ABI

  7. A Cross-Institutional Financial Fraud Collaborative Detection Algorithm Based on FedGAT Federated Graph Attention Network

    Qichun Wu, Muhammad Shahbaz, Samariddin Makhmudov +3

    СтатьяImbalanced Data Classification TechniquesSymmetry2026Цитирований: 0
    ABI

  8. Hierarchical Federated Edge Intelligence Architecture for Transaction-Level Fraud Detection in Digital Banking Systems

    Dr. Syed Hassan Imam Gardezi, Timur Kholmukhamedov, Sudha Arogya Mary Chinthamani +3

    СтатьяImbalanced Data Classification Techniques2026Цитирований: 0
    ABI

  9. A Comparative Study of Imbalance-Handling Methods in Multiclass Predictive Maintenance

    Mohammed Alnahhal‬‏, Mosab I. Tabash, Samir K. Safi +2

    СтатьяImbalanced Data Classification TechniquesComputation2026Цитирований: 0
    ABI

  10. A Comparative Analysis of Classification Algorithms for Extrovert and Introvert Identification

    Prashant Agrawal, Divas Tewari, Barno Matchanova +3

    СтатьяFace and Expression Recognition2026Цитирований: 0
    ABI

  11. Predictive Analytics for Crime Prevention: Ethical, Legal and Technical Challenges

    Abhinav Gupta, Kshitij Jain, Фарҳод Марданов +3

    СтатьяImbalanced Data Classification Techniques2026Цитирований: 0
    ABI

  12. AI-Driven Fraud Detection in Digital Wallet Transactions

    Anamika Pandey, Om Prakash, Satyaj Tiwatri +3

    СтатьяImbalanced Data Classification Techniques2026Цитирований: 0
    ABI

  13. ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS

    Gulsanam Kimsanova

    СтатьяFinancial Distress and Bankruptcy PredictionZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  14. ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS

    Gulsanam Kimsanova

    СтатьяFinancial Distress and Bankruptcy PredictionZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  15. ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS

    Gulsanam Kimsanova

    СтатьяFinancial Distress and Bankruptcy PredictionZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  16. ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS

    Gulsanam Kimsanova

    СтатьяFinancial Distress and Bankruptcy PredictionZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  17. A Reproducible Deep Learning Framework for Small-Scale Educational Data: Privacy-Preserving Augmentation and Adaptive Modeling with Interpretability

    Hakimeh Dustmohammadloo, Samira Tajdar, Rauf Rakhmonov +4

    СтатьяOnline Learning and AnalyticsSN Computer Science2026Цитирований: 0
    ABI

  18. Deep Neural Networks Predicting Credit Risk for Banking Systems

    Arathy A, Dr. Anjaly H, Avinash Bondu +4

    СтатьяFinancial Distress and Bankruptcy Prediction2026Цитирований: 0
    ABI

  19. Anemia Detection Using Explainable Boosting Machine

    Ismate Jahan, Samia Ahmed, M. Shamim Kaiser +1

    ГлаваExplainable Artificial Intelligence (XAI)Lecture notes in networks and systems2026Цитирований: 0
    ABI