activity
20142022
most citedArabic aspect sentiment polarity classification using BERT

57 citations · 121 across the 12 of their papers we have counts for

collaborators

12 papers

cs.DS2022★ 1 cited

Identifying Difficult exercises in an eTextbook Using Item Response Theory and Logged Data Analysis

Ahmed Abd Elrahman, Ahmed I. Taloba, Mohammed F. Farghally +1

The growing dependence on eTextbooks and Massive Open Online Courses (MOOCs) has led to an increase in the amount of students' learning data. By carefully analyzing this data, educ…

cs.CV2022★ 2 cited

Gesture based Arabic Sign Language Recognition for Impaired People based on Convolution Neural Network

Rady El Rwelli, Osama R. Shahin, Ahmed I. Taloba

The Arabic Sign Language has endorsed outstanding research achievements for identifying gestures and hand signs using the deep learning methodology. The term "forms of communicatio…

cs.CV2022

Human Face Recognition from Part of a Facial Image based on Image Stitching

Osama R. Shahin, Rami Ayedi, Alanazi Rayan +2

Most of the current techniques for face recognition require the presence of a full face of the person to be recognized, and this situation is difficult to achieve in practice, the…

cs.CY2022★ 2 cited

A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook

Ahmed Abd Elrahman, Taysir Hassan A Soliman, Ahmed I. Taloba +1

With the rise of online eTextbooks and Massive Open Online Courses (MOOCs), a huge amount of data has been collected related to students' learning. With the careful analysis of thi…

eess.SP2021★ 3 cited

Real Time Monitoring and Control of Neonatal Incubator using IOT

Rasha M. Abd El-Aziz, Ahmed I. Taloba

The care of new born babies are the most important and sensitive part of bio-medical domain. Some new born babies have a higher risk of mortality due to their gestational age or th…

cs.CR2021

Maneuvering Digital Watermarking In Face Recognition

Osama R. Shahin, Zeinab M. Abdel Azim, Ahmed I Taloba

The challenges faced in the digital world are many, which could be resolved with some biometric recognition methods. These biometric recognition methods are encompassed within wate…

cs.CL2021★ 57 cited

Arabic aspect sentiment polarity classification using BERT

Mohammed M. Abdelgwad, Taysir Hassan A Soliman, Ahmed I. Taloba

Aspect-based sentiment analysis(ABSA) is a textual analysis methodology that defines the polarity of opinions on certain aspects related to specific targets. The majority of resear…

cs.CL2021★ 5 cited

Arabic aspect based sentiment analysis using bidirectional GRU based models

Mohammed M. Abdelgwad, Taysir Hassan A Soliman, Ahmed I. Taloba +1

Aspect-based Sentiment analysis (ABSA) accomplishes a fine-grained analysis that defines the aspects of a given document or sentence and the sentiments conveyed regarding each aspe…

cs.IR2018★ 28 cited

A Comparative Study on using Principle Component Analysis with Different Text Classifiers

Ahmed I. Taloba, D. A. Eisa, Safaa S. I. Ismail

Text categorization (TC) is the task of automatically organizing a set of documents into a set of pre-defined categories. Over the last few years, increased attention has been paid…

cs.LG2015★ 1 cited

Differential Search Algorithm-based Parametric Optimization of Fuzzy Generalized Eigenvalue Proximal Support Vector Machine

M. H. Marghny, Rasha M. Abd ElAziz, Ahmed I. Taloba

Support Vector Machine (SVM) is an effective model for many classification problems. However, SVM needs the solution of a quadratic program which require specialized code. In addit…

cs.NE2014★ 13 cited

An Effective Evolutionary Clustering Algorithm: Hepatitis C Case Study

M. H. Marghny, Rasha M. Abd El-Aziz, Ahmed I. Taloba

Clustering analysis plays an important role in scientific research and commercial application. K-means algorithm is a widely used partition method in clustering. However, it is kno…

cs.LG2014★ 9 cited

Outlier Detection using Improved Genetic K-means

M. H. Marghny, Ahmed I. Taloba

The outlier detection problem in some cases is similar to the classification problem. For example, the main concern of clustering-based outlier detection algorithms is to find clus…