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20162026
most citedBreast cancer detection using artificial intelligence techniques: A systematic literature review

334 citations · 1.8k across the 39 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.SE2022

What UAE Software Students Think about Software Testing: A Replicated Study

Luiz Fernando Capretz, Saad Harous, Ali Bou Nassif

Software testing is vital to improve software quality. However, software tester role is stigmatized, partly due to misperception and partly due to the treatment of the testing proc…

cs.SE2022★ 9 cited

On the Value of Project Productivity for Early Effort Estimation

Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh +1

In general, estimating software effort using a Use Case Point (UCP) size requires the use of productivity as a second prediction factor. However, there are three drawbacks to this…

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…

eess.IV2022★ 3 cited

Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet

Omar Mahdi, Ali Bou Nassif

In this work, we introduce a spatially transformed DenseNet architecture for transformation invariant classification of cancer tissue. Our architecture increases the accuracy of th…

eess.IV2022★ 334 cited

Breast cancer detection using artificial intelligence techniques: A systematic literature review

Ali Bou Nassif, Manar Abu Talib, Qassim Nasir +2

Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer is one of the most common cancer types. According to the…

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…