--- title: "Omar Mohamed — papers of 2022 — Elamur Research" description: "Omar Mohamed — papers of 2022: 4 papers on Elamur Research, the most cited first — what each work is about in our own words." canonical: "https://research.elamur.ai/free/en/authors/omar-mohamed/year/2022/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/omar-mohamed/year/2022/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Omar Mohamed](https://md.research.elamur.ai/free/en/authors/omar-mohamed/) / 2022 # Omar Mohamed — papers of 2022 — Elamur Research 4 papers · [all years of Omar Mohamed](https://md.research.elamur.ai/free/en/authors/omar-mohamed/#years) **[GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based Approach](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-qur-qa-2022-efficient/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Mostafa, Omar Mohamed*2022 · 4 citations* - [An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics arXiv:2208.11484](https://md.research.elamur.ai/free/en/papers/mostafa-2022-end-end-ocr-framework-robust/) — Aly Mostafa, Omar Mohamed, Ali Ashraf, et al. · 2022 · 3 citations **[GOF at Arabic Hate Speech 2022: Breaking The Loss Function Convention For Data-Imbalanced Arabic Offensive Text Detection](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-arabic-hate-speech-2022/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Mostafa, Omar Mohamed, Ali Ashraf*2022 · 2 citations* **[On The Arabic Dialects' Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets](https://md.research.elamur.ai/free/en/papers/jamal-2022-arabic-dialects-identification-overcoming-challenges/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Salma Jamal, Aly M. Kassem, Omar Mohamed, et al.*2022 · 2 citations*