The open-closed principle of modern machine learning frameworks. - Houssem Ben Braiek; Foutse Khomh; Bram Adams (MSR, 2018)

Improved algorithm for hyperspectral image classification. - Sonia Bouzidi; Houssem Ben Braiek (J. Electronic Imaging, 2018)

DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks. - Houssem Ben Braiek; Foutse Khomh (ICSME, 2019)

TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs. - Houssem Ben Braiek; Foutse Khomh (QRS, 2019)

The Scent of Deep Learning Code: An Empirical Study. - Hadhemi Jebnoun; Houssem Ben Braiek; Mohammad Masudur Rahman 001; Foutse Khomh (MSR, 2020)

On testing machine learning programs. - Houssem Ben Braiek; Foutse Khomh (J. Syst. Softw., 2020)

Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases. - Ettore Merlo; Mira Marhaba; Foutse Khomh; Houssem Ben Braiek; Giuliano Antoniol (CoRR, 2021)

SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design. - Houssem Ben Braiek; Ali Tfaily; Foutse Khomh; Thomas Reid; Ciro Guida (ASE, 2022)

Faults in deep reinforcement learning programs: a taxonomy and a detection approach. - Amin Nikanjam; Mohammad Mehdi Morovati; Foutse Khomh; Houssem Ben Braiek (Autom. Softw. Eng., 2022)

DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment. - Ahmed Haj Yahmed; Houssem Ben Braiek; Foutse Khomh; Sonia Bouzidi; Rania Zaatour (Empir. Softw. Eng., 2022)

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. - Amin Nikanjam; Houssem Ben Braiek; Mohammad Mehdi Morovati; Foutse Khomh (ACM Trans. Softw. Eng. Methodol., 2022)

An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems. - Ahmed Haj Yahmed; Rached Bouchoucha; Houssem Ben Braiek; Foutse Khomh (ASE, 2023)

Robustness assessment of hyperspectral image CNNs using metamorphic testing. - Rached Bouchoucha; Houssem Ben Braiek; Foutse Khomh; Sonia Bouzidi; Rania Zaatour (Inf. Softw. Technol., 2023)

Testing Feedforward Neural Networks Training Programs. - Houssem Ben Braiek; Foutse Khomh (ACM Trans. Softw. Eng. Methodol., 2023)

Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation. - Houssem Ben Braiek; Thomas Reid; Foutse Khomh (IEEE Trans. Reliab., 2023)

In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators. - Dmytro Humeniuk; Houssem Ben Braiek; Thomas Reid; Foutse Khomh (ASE, 2024)

Machine Learning Robustness: A Primer. - Houssem Ben Braiek; Foutse Khomh (CoRR, 2024)

Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems. - Altaf Allah Abbassi; Houssem Ben Braiek; Foutse Khomh; Thomas Reid (CoRR, 2024)