Houssem Ben Braiek

30 papers A* 3A 3C 1Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing. CoRR Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek, Amel Bennaceur, Foutse Khomh
2024	A*	`conf`	In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators. ASE Dmytro Humeniuk, Houssem Ben Braiek, Thomas Reid, Foutse Khomh
2024	J	`jnl`	In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators. CoRR Dmytro Humeniuk, Houssem Ben Braiek, Thomas Reid, Foutse Khomh
2024	J	`jnl`	Machine Learning Robustness: A Primer. CoRR Houssem Ben Braiek, Foutse Khomh
2024	J	`jnl`	Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems. CoRR Altaf Allah Abbassi, Houssem Ben Braiek, Foutse Khomh, Thomas Reid
2023	J	`jnl`	An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems. CoRR Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
2023	A*	`conf`	An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems. ASE Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
2023	J	`jnl`	Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation. IEEE Trans. Reliab. Houssem Ben Braiek, Thomas Reid, Foutse Khomh
2023	J	`jnl`	Robustness assessment of hyperspectral image CNNs using metamorphic testing. Inf. Softw. Technol. Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
2023	J	`jnl`	Testing Feedforward Neural Networks Training Programs. ACM Trans. Softw. Eng. Methodol. Houssem Ben Braiek, Foutse Khomh
2022	J	`jnl`	Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. ACM Trans. Softw. Eng. Methodol. Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
2022	J	`jnl`	DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment. CoRR Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
2022	J	`jnl`	DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment. Empir. Softw. Eng. Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
2022	J	`jnl`	Faults in deep reinforcement learning programs: a taxonomy and a detection approach. Autom. Softw. Eng. Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
2022	J	`jnl`	Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation. CoRR Houssem Ben Braiek, Thomas Reid, Foutse Khomh
2022	A*	`conf`	SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design. ASE Houssem Ben Braiek, Ali Tfaily, Foutse Khomh, Thomas Reid, Ciro Guida
2022	J	`jnl`	SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design. CoRR Houssem Ben Braiek, Ali Tfaily, Foutse Khomh, Thomas Reid, Ciro Guida
2022	J	`jnl`	Testing Feedforward Neural Networks Training Programs. CoRR Houssem Ben Braiek, Foutse Khomh
2021	J	`jnl`	Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. CoRR Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
2021	J	`jnl`	Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach. CoRR Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
2021	J	`jnl`	Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases. CoRR Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek, Giuliano Antoniol
2020	J	`jnl`	On testing machine learning programs. J. Syst. Softw. Houssem Ben Braiek, Foutse Khomh
2020	A	`conf`	The Scent of Deep Learning Code: An Empirical Study. MSR Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, Foutse Khomh
2019	A	`conf`	DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks. ICSME Houssem Ben Braiek, Foutse Khomh
2019	J	`jnl`	DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks. CoRR Houssem Ben Braiek, Foutse Khomh
2019	C	`conf`	TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. QRS Houssem Ben Braiek, Foutse Khomh
2019	J	`jnl`	TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. CoRR Houssem Ben Braiek, Foutse Khomh
2018	J	`jnl`	Improved algorithm for hyperspectral image classification. J. Electronic Imaging Sonia Bouzidi, Houssem Ben Braiek
2018	J	`jnl`	On Testing Machine Learning Programs. CoRR Houssem Ben Braiek, Foutse Khomh
2018	A	`conf`	The open-closed principle of modern machine learning frameworks. MSR Houssem Ben Braiek, Foutse Khomh, Bram Adams