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20212023
most citedArabic Fake News Detection Based on Deep Contextualized Embedding Models

86 citations · 222 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2023★ 1 cited

Augmenting Character Designers Creativity Using Generative Adversarial Networks

Mohammad Lataifeh, Xavier Carrasco, Ashraf Elnagar +1

Recent advances in Generative Adversarial Networks (GANs) continue to attract the attention of researchers in different fields due to the wide range of applications devised to take…

cs.CV2023★ 15 cited

RGB Arabic Alphabets Sign Language Dataset

Muhammad Al-Barham, Adham Alsharkawi, Musa Al-Yaman +4

This paper introduces the RGB Arabic Alphabet Sign Language (AASL) dataset. AASL comprises 7,856 raw and fully labelled RGB images of the Arabic sign language alphabets, which to o…

cs.CL2022★ 86 cited

Arabic Fake News Detection Based on Deep Contextualized Embedding Models

Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy +1

Social media is becoming a source of news for many people due to its ease and freedom of use. As a result, fake news has been spreading quickly and easily regardless of its credibi…

cs.SD2022★ 47 cited

Emotional Speaker Identification using a Novel Capsule Nets Model

Ali Bou Nassif, Ismail Shahin, Ashraf Elnagar +3

Speaker recognition systems are widely used in various applications to identify a person by their voice; however, the high degree of variability in speech signals makes this a chal…

cs.SD2021★ 37 cited

Novel Hybrid DNN Approaches for Speaker Verification in Emotional and Stressful Talking Environments

Ismail Shahin, Ali Bou Nassif, Nawel Nemmour +3

In this work, we conducted an empirical comparative study of the performance of text-independent speaker verification in emotional and stressful environments. This work combined de…

cs.CL2021★ 32 cited

Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis

Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar

This work presents a detailed comparison of the performance of deep learning models such as convolutional neural networks (CNN), long short-term memory (LSTM), gated recurrent unit…

cs.CY2021★ 4 cited

The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN

Ashraf Elnagar, Imad Afyouni, Ismail Shahin +2

There are several reasons why the fear of vaccination has caused population rejection. Questions have been raised by students regarding the effectiveness of vaccines, which in turn…

cs.LG2021

Kernel density estimation-based sampling for neural network classification

Firuz Kamalov, Ashraf Elnagar

Imbalanced data occurs in a wide range of scenarios. The skewed distribution of the target variable elicits bias in machine learning algorithms. One of the popular methods to comba…