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Maged S. Al-Shaibani

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • eess.IV1
ORCID 0009-0002-1364-086X

identity via Semantic Scholar / OpenAlex

most citedA Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs

4 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024

CIDAR: Culturally Relevant Instruction Dataset For Arabic

Zaid Alyafeai, Khalid Almubarak, Ahmed Ashraf +9

Instruction tuning has emerged as a prominent methodology for teaching Large Language Models (LLMs) to follow instructions. However, current instruction datasets predominantly cate…

cs.CL2023★ 4 cited

Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches

Zaid Alyafeai, Maged S. Al-Shaibani, Moataz Ahmed

Poetry holds immense significance within the cultural and traditional fabric of any nation. It serves as a vehicle for poets to articulate their emotions, preserve customs, and con…

eess.IV2023★ 4 cited

A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs

Atif Shah, Maged S. Al-Shaibani, Moataz Ahmad +1

Introduction: Multiple Sclerosis (MS) is a chronic disease that affects millions of people across the globe. MS can critically affect different organs of the central nervous system…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.