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مسجل لدى هيئة الحكومة الرقمية برقم: 20260416249

أعضاء هيئة التدريس

بولبابة بن عبدالرزاق بنعمار

أستاذ مشارك

كلية الحاسب،

قسم علوم الحاسب

البيانات الشخصية

المؤهلات العلمية

الاهتمامات البحثية

الأبحاث المنشورة

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)
Modélisation événementielle pour la construction de diagrammes de classes (2008-01-01)
Quelques patrons de raffinement pour le développement de diagrammes de classes UML (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 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 à l'ingénierie des systèmes: Raffinement et Refactoring de spécifications UML (2012-01-01)
Contribution à l'ingénierie des systèmes: Raffinement et Refactoring de spécifications UML.(Contribution to the Systems Engineering: Refinement and Refactoring of UML … (2012-01-01)
Raffinement et Refactoring de spécifications UML: Contribution à l'ingénierie des systèmes-Raffinement et Refactoring de spécifications UML (2012-01-01)
Schéma de refactoring de diagrammes de classes basé sur la notion de délégation (2008-01-01)
Developing SHDO: A Case Study on Vehicle Insurance Fraud Detection (2026-01-01)
Contribution à l'ingénier Raffinement et Refa spé (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)

المواد التدريسية