Houssem Ben Braiek

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Uniform Quantization

Machine Learning

Top Venues

ACM Trans. Softw. Eng. Methodol.

Publications

Houssem Ben Braiek, Foutse Khomh
Machine Learning Robustness: A Primer. CoRR (2024)
Houssem Ben Braiek, Foutse Khomh
Testing Feedforward Neural Networks Training Programs. ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Houssem Ben Braiek, Thomas Reid, Foutse Khomh
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation. IEEE Trans. Reliab. 72 (3) (2023)
Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems. CoRR (2023)
Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
Robustness assessment of hyperspectral image CNNs using metamorphic testing. Inf. Softw. Technol. 162 (2023)
Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh
An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems. ASE (2023)
Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment. CoRR (2022)
Houssem Ben Braiek, Thomas Reid, Foutse Khomh
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation. CoRR (2022)
Houssem Ben Braiek, Ali Tfaily, Foutse Khomh, Thomas Reid, Ciro Guida
SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design. ASE (2022)
Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
Faults in deep reinforcement learning programs: a taxonomy and a detection approach. Autom. Softw. Eng. 29 (1) (2022)
Ahmed Haj Yahmed, Houssem Ben Braiek, Foutse Khomh, Sonia Bouzidi, Rania Zaatour
DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment. Empir. Softw. Eng. 27 (7) (2022)
Houssem Ben Braiek, Foutse Khomh
Testing Feedforward Neural Networks Training Programs. CoRR (2022)
Houssem Ben Braiek, Ali Tfaily, Foutse Khomh, Thomas Reid, Ciro Guida
SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design. CoRR (2022)
Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. ACM Trans. Softw. Eng. Methodol. 31 (1) (2022)
Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek, Giuliano Antoniol
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases. CoRR (2021)
Amin Nikanjam, Houssem Ben Braiek, Mohammad Mehdi Morovati, Foutse Khomh
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. CoRR (2021)
Amin Nikanjam, Mohammad Mehdi Morovati, Foutse Khomh, Houssem Ben Braiek
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach. CoRR (2021)
Hadhemi Jebnoun, Houssem Ben Braiek, Mohammad Masudur Rahman, Foutse Khomh
The Scent of Deep Learning Code: An Empirical Study. MSR (2020)
Houssem Ben Braiek, Foutse Khomh
On testing machine learning programs. J. Syst. Softw. 164 (2020)
Houssem Ben Braiek, Foutse Khomh
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks. ICSME (2019)
Houssem Ben Braiek, Foutse Khomh
TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. QRS (2019)
Houssem Ben Braiek, Foutse Khomh
TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. CoRR (2019)
Houssem Ben Braiek, Foutse Khomh
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks. CoRR (2019)
Sonia Bouzidi, Houssem Ben Braiek
Improved algorithm for hyperspectral image classification. J. Electronic Imaging 27 (06) (2018)
Houssem Ben Braiek, Foutse Khomh
On Testing Machine Learning Programs. CoRR (2018)
Houssem Ben Braiek, Foutse Khomh, Bram Adams
The open-closed principle of modern machine learning frameworks. MSR (2018)