Impact of Feature Encoding on Malware Classification Explainability. - Elyes Manai; Mohamed Mejri; Jaouhar Fattahi (ECAI, 2023)

FingFor: a Deep Learning Tool for Biometric Forensics. - Jaouhar Fattahi; Baha Eddine Lakdher; Mohamed Mejri; Ridha Ghayoula; Elyes Manai; Marwa Ziadia (CoDIT, 2024)

Confusion Matrix Explainability to Improve Model Performance: Application to Network Intrusion Detection. - Elyes Manai; Mohamed Mejri; Jaouhar Fattahi (CoDIT, 2024)

Intrusion Detection Explainability by Ensemble Learning with a Case Study. - Elyes Manai; Mohamed Mejri; Jaouhar Fattahi (CoDIT, 2024)

Minimizing Model Misclassification Using Regularized Loss Interpretability. - Elyes Manai; Mohamed Mejri; Jaouhar Fattahi (IIAI-AAI, 2024)

Cyberbullying Detection Using Bag-of-Words, TF-IDF, Parallel CNNs and BiLSTM Neural Networks. - Jaouhar Fattahi; Feriel Sghaier; Mohamed Mejri; Sahbi Bahroun; Ridha Ghayoula; Elyes Manai (SoMeT, 2024)

Recognition of Handwritten Tamazight Characters Using ResNet, MobileNet and VGG Transfer Learning. - Jaouhar Fattahi; Feriel Sghaier; Mohamed Mejri; Elyes Manai; Ridha Ghayoula (SoMeT, 2024)

Fingerprint Fraud Explainability Using Grad-Cam for Forensic Procedures. - Elyes Manai; Mohamed Mejri; Jaouhar Fattahi (SoMeT, 2024)