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Faculty members

Content

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Boulbaba Abderrazek Makki BenAmmar

Associate Professor
College of Computer
Department of Computer Science

Personal data

  • +966538012583
  • b.benammar@qu.edu.sa
  • Desktop watches
    Google Scholar
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    Scientific qualifications

      Research interests

        Published research

        • Fraud detection using large-scale imbalance dataset (2022-01-01)
        • Comparative data oversampling techniques with deep learning algorithms for credit card fraud detection (2022-01-01)
        • Vehicle Insurance Fraud Detection Based on Hybrid Approach for Data Augmentation. (2023-01-01)
        • Prediction of COVID-19 active cases using polynomial regression and ARIMA models (2021-01-01)
        • Pattern-based model refactoring for the introduction association relationship (2015-01-01)
        • Incremental development of UML specifications using operation refinements (2008-01-01)
        • SQL Injection Detection Using Fine-Tuned CodeBERT (2025-01-01)
        • Handling Imbalance Functional and Non-Functional Software Requirement Classification Based on Machine Learning Algorithms (2023-01-01)
        • Event-driven modeling for class diagram construction (2008-01-01)
        • Some refinement patterns for the development of UML class diagrams (2007-01-01)
        • Classification of Requirements from Software Requirement Specification Documents: TAOS: A Novel TextAttack Oversampling Approach for Fine-Grained Classification of Software ... (2025-01-01)
        • Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework (2026-01-01)
        • Mitigating the Risks of AI Deepfakes (2026-01-01)
        • Integrating sequential hybrid oversampling with decision-theoretic threshold design for credit risk assessment (2026-01-01)
        • 215 Developing SHDO: A Case Study on Vehicle Insurance Fraud Detection (2026-01-01)
        • Enhancing SQL Code Security and Maintainability: A Deep Learning Based Approach (2025-01-01)
        • Machine learning models for early prediction of COVID-19 infections based on clinical signs (2024-01-01)
        • Introduction to special issue: papers from UML&FM (2008-01-01)
        • Towards an incremental development of UML specifications (2007-01-01)
        • A Comparative Study of Machine Learning and Deep Learning Algorithms for Fake News Detection (2025-01-01)
        • TAOS: A Novel TextAttack Oversampling Approach for Fine-Grained Classification of Software Requirements (2025-01-01)
        • Neural perceptual model to global-local vision for recognition of the logical structure of administrative documents (2013-01-01)
        • Contribution to Systems Engineering: Refinement and Refactoring of UML Specifications (2012-01-01)
        • Contribution to Systems Engineering: Refinement and Refactoring of UML Specifications (2012-01-01)
        • UML Specification Refinement and Refactoring: Contribution to Systems Engineering - UML Specification Refinement and Refactoring (2012-01-01)
        • Class diagram refactoring pattern based on the notion of delegation (2008-01-01)
        • Developing SHDO: A Case Study on Vehicle Insurance Fraud Detection (2026-01-01)
        • Contribution to Engineering: Refinement and Spec Refinement (2026-01-01)
        • Refinement Patterns for an Incremental Construction of Class Diagrams (2026-01-01)
        • Calibrated RoBERTa With Targeted Augmentation for Financial Risk-Tone Detection: A Decision-Theoretic Intelligent System for Short-Form Financial Text Monitoring (2026-01-01)
        • Integrating Sequential Hybrid Oversampling with Decision-Theoretic Threshold Design for Credit Risk Assessment (2026-05-01)
        • Calibrated RoBERTa With Targeted Augmentation for Financial Risk-Tone Detection: A Decision-Theoretic Intelligent System for Short-Form Financial Text Monitoring (2026-01-01)
        • Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework (2026-01-01)
        • Classification of Requirements from Software Requirement Specification Documents: TAOS: A Novel TextAttack Oversampling Approach for Fine-Grained Classification of Software Requirements (2025-12-08)
        • SQL Injection Detection Using Fine-Tuned CodeBERT (2025-10-06)
        • Developing SHDO: A Case Study on Vehicle Insurance Fraud Detection (2026-01-01)
        • Handling Imbalance Functional and Non-Functional Software Requirement Classification Based on Machine Learning Algorithms (2025-01-01)
        • Machine Learning Models for Early Prediction of COVID-19 Infections Based on Clinical Signs (2024-01-01)
        • Comparative Data Oversampling Techniques with Deep Learning Algorithms for Credit Card Fraud Detection (2023-01-01)
        • Fraud Detection Using Large-scale Imbalance Dataset (2022-12-01)
        • Prediction of COVID-19 Active Cases Using Polynomial Regression and ARIMA Models (2022-01-01)
        • Pattern-based model refactoring for the introduction association relationship (2015-01-01)
        • Incremental development of UML specifications using operation refinements (2008-01-01)
        • Label leakage unmasked: a trustworthy-AI audit of autism screening models using the CLEAR-RD framework (2026-06-30)
        • Integrating Sequential Hybrid Oversampling with Decision-Theoretic Threshold Design for Credit Risk Assessment (2026-04-27)
        • Fraud Detection Using Large-scale Imbalance Dataset (2022-09-16)
        • Prediction of COVID-19 Active Cases Using Polynomial Regression and ARIMA Models (2022-01-01)
        • Calibrated RoBERTa with Targeted Augmentation for Financial Risk-Tone Detection: A Decision-Theoretic Intelligent System for Short-Form Financial Text Monitoring (2026-01-01)

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