Nazeeh Ghatasheh
Nazeeh Ghatasheh
Associate Professor, Dept. of Information Technology, The University of Jordan
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Cited by
Cited by
Optimizing software effort estimation models using firefly algorithm
N Ghatasheh, H Faris, I Aljarah, RMH Al-Sayyed
Journal of Software Engineering and Applications 8 (03), 133-142, 2015
Predicting customer churn in telecom industry using multilayer preceptron neural networks: Modeling and analysis
O Adwan, H Faris, K Jaradat, O Harfoushi, N Ghatasheh
Life Science Journal 11 (3), 75-81, 2014
Business Analytics using Random Forest Trees for Credit Risk Prediction: A Comparison Study
N Ghatasheh
International Journal of Advanced Science and Technology 72, 19-30, 2014
Data security issues and challenges in cloud computing: a conceptual analysis and review
O Harfoushi, B Alfawwaz, NA Ghatasheh, R Obiedat, M Mua’ad, H Faris
communications and Network 2014, 2014
A genetic programming based framework for churn prediction in telecommunication industry
H Faris, B Al-Shboul, N Ghatasheh
International Conference on Computational Collective Intelligence, 353-362, 2014
Knowledge Level Assessment in e-Learning Systems Using Machine Learning and User Activity Analysis
N Ghatasheh
International Journal of Advanced Computer Science and Applications 6 (4á…, 2015
Business analytics in telemarketing: cost-sensitive analysis of bank campaigns using artificial neural networks
N Ghatasheh, H Faris, I AlTaharwa, Y Harb, A Harb
Applied Sciences 10 (7), 2581, 2020
Initializing Genetic Programming using Fuzzy Clustering and its Application in Churn Prediction in the Telecom Industry
B Al-Shboul, H Faris, N Ghatasheh
Forecasting global carbon dioxide emission using auto-regressive with exogenous input and evolutionary product unit neural network models
AF Sheta, N Ghatasheh, H Faris
2015 6th International Conference on Information and Communication Systemsá…, 2015
Multi-Agent Swarm Spreading Approach in Unknown Environments
S Alian, N Ghatasheh, M Abu-Faraj
International Journal of Computer Science Issues (IJCSI) 11 (2), 160-168, 2014
Multi-Agent Swarm Spreading Approach in Unknown Environments
S Alian, N Ghatasheh, M Abu-Faraj
International Journal of Computer Science Issues 11 (2), 160-168, 0
Using Image Processing Functions to Determine the Edges of the Dead Sea and Calculate the Declining Rate
M Abu-Faraj, NA Ghatasheh
International Journal of Computer Science Issues 10 (6), 97-101, 2013
Evolutionary and Swarm-Based Feature Selection for Imbalanced Data Classification
F Namous, H Faris, AA Heidari, M Khalafat, RS Alkhawaldeh, ...
Evolutionary Machine Learning Techniques: Algorithms and Applications, 231-250, 2020
Robotics evolution: From remote brain to cloud
AF Sheta, N Ghatasheh, H Faris, A Rodan
International Journal of Control and Automation 11 (11), 29-42, 2018
Using concept mapping tools to enhance collaborative problem solving and innovation in corporate e-Learning
AR Najdawi, N Ghatasheh
Interactive Mobile and Computer Aided Learning (IMCL), 2012 Internationalá…, 2012
The University as Technology-Focused Center on Entrepreneurship in the Middle East: Case of Jordan
N Ghatasheh
European Journal of Business and Management 8 (15), 27-33, 2016
Taxonomy of Image File Formats
E Abu-Taieh, A El-Haj, A Abu-Tayeh, A El-Sheikh, N Ghatasheh
2013 Fourth International Conference on e-Learning" Best Practices iná…, 2013
Dead Sea water level and surface area monitoring using spatial data extraction from remote sensing images
NA Ghatasheh, M Mua’ad, H Faris
International Review on Computers and Software 8, 2892-2897, 2013
Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market
N Ghatasheh, H Faris, R Abukhurma, PA Castillo, N Al-Madi, AM Mora, ...
Progress in Artificial Intelligence 9 (4), 361–375, 2020
Evaluation of Spatial Image Processing Approaches for Calculating Water Surface Area: Case of the Dead Sea
M Abu-Faraj, N Ghatasheh, H Faris, O Harfoushi
Life Science Journal 11 (4), 114–121, 2014
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