M
Mohammed Berrada
Researcher at Sidi Mohamed Ben Abdellah University
Publications - 43
Citations - 2481
Mohammed Berrada is an academic researcher from Sidi Mohamed Ben Abdellah University. The author has contributed to research in topics: Computer science & Web service. The author has an hindex of 7, co-authored 36 publications receiving 1341 citations. Previous affiliations of Mohammed Berrada include Indonesian Institute of Sciences & SIDI.
Papers
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Journal ArticleDOI
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Amina Adadi,Mohammed Berrada +1 more
TL;DR: This survey provides an entry point for interested researchers and practitioners to learn key aspects of the young and rapidly growing body of research related to XAI, and review the existing approaches regarding the topic, discuss trends surrounding its sphere, and present major research trajectories.
Book ChapterDOI
Explainable AI for Healthcare: From Black Box to Interpretable Models
Amina Adadi,Mohammed Berrada +1 more
TL;DR: This paper reflects on recent investigations about the interpretability and explainability of artificial intelligence methods and discusses their impact on medicine and healthcare.
Proceedings ArticleDOI
Optimal PID control of an autonomous vehicle using Butterfly Optimization Algorithm BOA
TL;DR: This paper presents an optimal PID controller based on Butterfly Optimization Algorithm (BOA) in order to control the lateral dynamics of autonomous vehicles and shows good results in term of lateral acceleration or yaw rate.
Journal ArticleDOI
A Serious Game for Learning C Programming Language Concepts Using Solo Taxonomy
TL;DR: A serious game "Perobo" will be introduced, based on a set of gameplay techniques and pedagogical approaches used for teaching pointers, considered as a difficult concept in C programming language, and essential for programming complex and advanced programs.
Proceedings ArticleDOI
Ontology based composition of e-Government services using AI Planning
TL;DR: This paper presents a dynamic approach for semantically composing e-Government Web services based on Artificial Intelligence (AI) techniques to improve the citizen centric e- government vision by providing a platform for automatically discovering, composing and optimizing e-government services.