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2010 – 2019
- 2019
[b1]Sara Makki:
An Efficient Classification Model for Analyzing Skewed Data to Detect Frauds in the Financial Sector. (Un modèle de classification efficace pour l'analyse des données déséquilibrées pour détecter les fraudes dans le secteur financier). University of Lyon, France, 2019- [j1]Sara Makki
, Zainab Assaghir, Yehia Taher, Rafiqul Haque, Mohand-Saïd Hacid, Hassan Zeineddine:
An Experimental Study With Imbalanced Classification Approaches for Credit Card Fraud Detection. IEEE Access 7: 93010-93022 (2019) - [c5]Antoun Yaacoub, Zainab Assaghir, Sara Makki, Radwan Almokdad:
Diagnosing Clinical Manifestation of Apathy Using Machine Learning and Micro-facial Expressions Detection. ISCSIC 2019: 29:1-29:6 - 2018
- [c4]Sara Makki, Rafiqul Haque, Yehia Taher, Zainab Assaghir, Mohand-Said Hacid, Hassan Zeineddine:
A Cost-Sensitive Cosine Similarity K-Nearest Neighbor for Credit Card Fraud Detection. BDCSIntell 2018: 42-47 - [c3]Ahmad Al Sayyid, Rafiqul Haque, Ali Jaber, Sara Makki, Yehia Taher:
ProgMod: An Analytical Model for Prognosis Prediction of AML Patients Using Survival Regression and Gene Expression Levels. BDCSIntell 2018: 94-99 - 2017
- [c2]Sara Makki, Rafiqul Haque, Yehia Taher, Zainab Assaghir, Gregory Ditzler, Mohand-Said Hacid, Hassan Zeineddine:
Fraud Data Analytics Tools and Techniques in Big Data Era. ICCAC 2017: 186-187 - [c1]Sara Makki, Rafiqul Haque, Yehia Taher, Zainab Assaghir, Gregory Ditzler, Mohand-Said Hacid, Hassan Zeineddine:
Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art. FAS*W@SASO/ICCAC 2017: 243-250
Coauthor Index
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