Rached Bouchoucha

According to our database, Rached Bouchoucha authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quality issues in machine learning software systems.

Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Ilan Basta, Mouna Abidi, Foutse Khomh

Empir. Softw. Eng., November, 2024

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer.

Rached Bouchoucha, Ahmed Haj Yahmed, Darshan Patil, Janarthanan Rajendran, Amin Nikanjam, Sarath Chandar, Foutse Khomh

CoRR, 2024

2023

Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness?

Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh

Computer, April, 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

An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems.

Ahmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse Khomh

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022

Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?

Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh

CoRR, 2022

Quality issues in Machine Learning Software Systems.

Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh

CoRR, 2022