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20142026
most citedBreast cancer detection using artificial intelligence techniques: A systematic literature review

334 citations · 1.9k across the 45 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.LG2018

Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points

Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan +1

It is well recognized that the project productivity is a key driver in estimating software project effort from Use Case Point size metric at early software development stages. Alth…

cs.SE2018★ 1 cited

v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects

Cuauhtemoc Lopez-Martin, Mohammad Azzeh, Ali Bou Nassif +1

An important product measure to determine the effectiveness of software processes is the defect density (DD). In this study, we propose the application of support vector regression…

cs.LG2018

Machine Learning Classifications of Coronary Artery Disease

Ali Bou Nassif, Omar Mahdi, Qassim Nasir +2

Coronary Artery Disease (CAD) is one of the leading causes of death worldwide, and so it is very important to correctly diagnose patients with the disease. For medical diagnosis, m…

cs.SD2018★ 51 cited

Novel Cascaded Gaussian Mixture Model-Deep Neural Network Classifier for Speaker Identification in Emotional Talking Environments

Ismail Shahin, Ali Bou Nassif, Shibani Hamsa

This research is an effort to present an effective approach to enhance text-independent speaker identification performance in emotional talking environments based on novel classifi…

cs.SD2018★ 8 cited

Three-Stage Speaker Verification Architecture in Emotional Talking Environments

Ismail Shahin, Ali Bou Nassif

Speaker verification performance in neutral talking environment is usually high, while it is sharply decreased in emotional talking environments. This performance degradation in em…

cs.SD2018★ 18 cited

Emirati-Accented Speaker Identification in each of Neutral and Shouted Talking Environments

Ismail Shahin, Ali Bou Nassif, Mohammed Bahutair

This work is devoted to capturing Emirati-accented speech database (Arabic United Arab Emirates database) in each of neutral and shouted talking environments in order to study and…