Mohammad Azzeh
Jordan Applied Science Private University
ORCID
Published in 2017
- Robust Rank Aggregation method for Case-Base effort estimation
- Authors: -
- Journal: Canadian Conference on Electrical and Computer Engineering
ORCID
Published in 2017
- User movement prediction: The contribution of machine learning techniques
- Authors: -
- Journal: Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016
ORCID
Published in 2016
- A hybrid model for estimating software project effort from Use Case Points
- Authors: Mohammad Azzeh, Ali Bou Nassif
- Journal: Applied Soft Computing
ORCID
Published in 2016
- An application of classification and class decomposition to use case point estimation method
- Authors: -
- Journal: Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015
ORCID
Published in 2016
- Class decomposition using K-means and hierarchical clustering
- Authors: -
- Journal: Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015
ORCID
Published in 2016
- Guest editorial: special issue on predictive analytics using machine learning
- Authors: Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Daniel Neagu
- Journal: Neural Computing and Applications
ORCID
Published in 2016
- Neural network models for software development effort estimation: a comparative study
- Authors: Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho
- Journal: Neural Computing and Applications
ORCID
Published in 2016
- Pareto efficient multi-objective optimization for local tuning of analogy-based estimation
- Authors: Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
- Journal: Neural Computing and Applications
ORCID
Published in 2016
- Preface
- Authors: -
- Journal: Proceedings - CSIT 2016: 2016 7th International Conference on Computer Science and Information Technology
ORCID
Published in 2016
- User Movement Prediction: The Contribution of Machine Learning Techniques
- Authors: -
- Journal: 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA)