DeepAbstraction: 2-Level Prioritization for Unlabeled Test Inputs in Deep Neural Networks. - Hamzah Al-Qadasi; Changshun Wu; Yliès Falcone; Saddek Bensalem (AITest, 2022)

Difficulty and Severity-Oriented Metrics for Test Prioritization in Deep Learning Systems. - Hamzah Al-Qadasi; Yliès Falcone; Saddek Bensalem (AITest, 2023)

DeepAbstraction++: Enhancing Test Prioritization Performance via Combined Parameterized Boxes. - Hamzah Al-Qadasi; Yliès Falcone; Saddek Bensalem (AISoLA, 2023)

Neural Network Innovations in Image-Based Malware Classification: A Comparative Study. - Hamzah Al-Qadasi; Djafer Yahia Messaoud Benchadi; Salim Chehida; Kazuhiro Fukui; Saddek Bensalem (AINA (4), 2024)

Prioritizing Test Cases Using Box Abstraction in Deep Neural Networks. (Prioritisation des cas de tests basé sur l'abstraction géométrique pour les réseaux de neurones profonds). - Hamzah Al-Qadasi (2024)