Hazem M. Fahmy

According to our database, Hazem M. Fahmy authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches.

Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand

ACM Trans. Softw. Eng. Methodol., June, 2024

2023

Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems.

Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand, Thomas Stifter

ACM Trans. Softw. Eng. Methodol., July, 2023

Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering.

Mohammed Walid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand

ACM Trans. Softw. Eng. Methodol., May, 2023

DNN Explanation for Safety Analysis: an Empirical Evaluation of Clustering-based Approaches.

Mohammed Oualid Attaoui, Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand

CoRR, 2023

2022

Vehicular Safety Applications and Approaches: A Technical Survey.

Hazem M. Fahmy, Sabita Mahrajan

CoRR, 2022

Vehicle Risk Assessment and Control for Lane-Keeping and Collision Avoidance in Urban and Highway Driving Scenarios.

Hazem M. Fahmy, Mohamed A. Abd El Ghany, Gerd Baumann

CoRR, 2022

Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems.

Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand

CoRR, 2022

HUDD: A tool to debug DNNs for safety analysis.

Hazem M. Fahmy, Fabrizio Pastore, Lionel C. Briand

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021

Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning.

Hazem M. Fahmy, Fabrizio Pastore, Mojtaba Bagherzadeh, Lionel C. Briand

Dataset, April, 2021

Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning.

Hazem M. Fahmy, Fabrizio Pastore, Mojtaba Bagherzadeh, Lionel Claude Briand

Dataset, April, 2021

Supporting Deep Neural Network Safety Analysis and Retraining Through Heatmap-Based Unsupervised Learning.

Hazem M. Fahmy, Fabrizio Pastore, Mojtaba Bagherzadeh, Lionel C. Briand

IEEE Trans. Reliab., 2021

2020

Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning.

Hazem M. Fahmy, Mojtaba Bagherzadeh, Fabrizio Pastore, Lionel C. Briand

CoRR, 2020

2018

Vehicle Risk Assessment and Control for Lane-Keeping and Collision Avoidance at Low-Speed and High-Speed Scenarios.

Hazem M. Fahmy, Mohamed A. Abd El Ghany, Gerd Baumann

IEEE Trans. Veh. Technol., 2018

Dual-Mode Forward Collision Avoidance Algorithm Based on Vehicle-to-Vehicle (V2V) Communication.

Mohamed Yousef, Ahmed Hosny, Wessam Gamil, Mohamed Adel, Hazem M. Fahmy, M. Saeed Darweesh, Hassan Mostafa

Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

2017

V2V-based vehicle risk assessment and control for lane-keeping and collision avoidance.

Hazem M. Fahmy, Gerd Baumann, Mohamed A. Abd El Ghany, Hassan Mostafa

Proceedings of the 29th International Conference on Microelectronics, 2017