Zouhair Elamrani Abou Elassad

According to our database, Zouhair Elamrani Abou Elassad authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction.

Soukaina el Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaïm Abdali

Appl. Artif. Intell., December, 2025

2024

An advanced accident avoidance system based on imbalance-control ensemble and deep learning fusion design.

Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Abdel Majid Ed-dahbi, Othmane El Meslouhi, Mustapha Kardouchi, Moulay Akhloufi

J. Intell. Fuzzy Syst., February, 2024

Imbalance-learning road crash assessment under reduced visibility settings: A proactive multicriteria decision-making system.

Zouhair Elamrani Abou Elassad, Dauha Elamrani Abou Elassad, Hajar Mousannif

J. Ambient Intell. Smart Environ., 2024

Attention Mechanisms vs. Frequency filters in Medical Image Segmentation: a Comparative Study.

Ismayl Labbihi, Othmane El Meslouhi, Mohamed Benaddy, Zouhair Elamrani Abou Elassad, Mustapha Kardouchi, Moulay Akhloufi

Proceedings of the 8th International Conference on Advances in Artificial Intelligence, 2024

2023

A non-intrusive multivariate analysis for monitoring inattentive driving based on physiological signals, driver inputs and visual features: A hybrid deep learning approach.

Dauha Elamrani Abou Elassad, Zouhair Elamrani Abou Elassad, Othmane El Meslouhi, Mohamed Ameksa, Hajar Mousannif, El Houssine El Mazoudi

Proceedings of the 10th International Conference on Wireless Networks and Mobile Communications, 2023

Machine Learning Prediction of Weather-Induced Road Crash Events for Experienced and Novice Drivers: Insights from a Driving Simulator Study.

Zouhair Elamrani Abou Elassad, Mohamed Ameksa, Dauha Elamrani Abou Elassad, Hajar Mousannif

Proceedings of the Business Intelligence - 8th International Conference, 2023

2020

A proactive decision support system for predicting traffic crash events: A critical analysis of imbalanced class distribution.

Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime

Knowl. Based Syst., 2020

The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review.

Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime, Aimad Karkouch

Eng. Appl. Artif. Intell., 2020

Towards analyzing crash events for novice drivers under reduced-visibility settings: A simulator study.

Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime

Proceedings of the NISS 2020: The 3rd International Conference on Networking, Information Systems & Security, Marrakech, Morocco, March 31, 2020