Mohammad Azzeh

Netw. Model. Anal. Health Informatics Bioinform., December, 2024

Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction.

[BibT_eX]

[DOI]

Neural Comput. Appl., September, 2024

Arabic cyberbullying detection system using convolutional neural network and multi-head attention.

[BibT_eX]

[DOI]

Int. J. Speech Technol., September, 2024

Software effort estimation using convolutional neural network and fuzzy clustering.

[BibT_eX]

[DOI]

Neural Comput. Appl., August, 2024

Fake news detection models using the largest social media ground-truth dataset (TruthSeeker).

[BibT_eX]

[DOI]

Maysa Khalil

Int. J. Speech Technol., June, 2024

A soft computing approach for software defect density prediction.

[BibT_eX]

[DOI]

Yousef Alqasrawi

J. Softw. Evol. Process., April, 2024

Hate speech detection in the Arabic language: corpus design, construction, and evaluation.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2024

Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier.

[BibT_eX]

[DOI]

e Informatica Softw. Eng. J., 2024

2023

Examining the performance of kernel methods for software defect prediction based on support vector machine.

[BibT_eX]

[DOI]

Sci. Comput. Program., March, 2023

Explainable artificial intelligence model for identifying COVID-19 gene biomarkers.

[BibT_eX]

[DOI]

Fatma Hilal Yagin

Ipek Balikci Cicek

Comput. Biol. Medicine, March, 2023

An optimized case-based software project effort estimation using genetic algorithm.

[BibT_eX]

[DOI]

Shaima Hameed

Inf. Softw. Technol., 2023

Software Effort Estimation Using Deep Learning and Fuzzy Modelling.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Automation and Computing, 2023

Truth Seeker of the Largest Social Media Content using Machine Learning Algorithms.

[BibT_eX]

[DOI]

Maysa Khalil

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

On the value of project productivity for early effort estimation.

[BibT_eX]

[DOI]

Sci. Comput. Program., 2022

Locally weighted regression with different kernel smoothers for software effort estimation.

[BibT_eX]

[DOI]

Yousef Alqasrawi

Sci. Comput. Program., 2022

On obtaining a stable vote ranking methodology for implementing e-government strategies.

[BibT_eX]

[DOI]

Yousef Alqasrawi

J. King Saud Univ. Comput. Inf. Sci., 2022

Software Defect Prediction Using Support Vector Machine.

[BibT_eX]

[DOI]

Haneen Abu Alhija

Fadi Almasalha

CoRR, 2022

Predicting students' learning styles using regression techniques.

[BibT_eX]

[DOI]

Ahmad Mousa Altamimi

Mahmoud AlBashayreh

CoRR, 2022

Adopting the Cybersecurity Concepts into Curriculum The Potential Effects on Students Cybersecurity Knowledge.

[BibT_eX]

[DOI]

CoRR, 2022

Examining stability of machine learning methods for predicting dementia at early phases of the disease.

[BibT_eX]

[DOI]

Sinan Faouri

Mahmood AlBashayreh

CoRR, 2022

Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review.

[BibT_eX]

[DOI]

Bassel Soudan

Imtinan Basem Attilli

Omar AlMulla

CoRR, 2022

Software Defect Density Prediction Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Access, 2022

On Selection of Optimal Kernel Function for Software Defect Prediction.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Empirical analysis on productivity prediction and locality for use case points method.

[BibT_eX]

[DOI]

Softw. Qual. J., 2021

Predicting software effort from use case points: A systematic review.

[BibT_eX]

[DOI]

Imtinan Basem Attili

Sci. Comput. Program., 2021

An Interactive Automation for Human Biliary Tree Diagnosis Using Computer Vision.

[BibT_eX]

[DOI]

Int. J. Comput. Commun. Control, 2021

Application of Machine Learning for Online Reputation Systems.

[BibT_eX]

[DOI]

Ahmad Alqwadri

Fadi Almasalha

Int. J. Autom. Comput., 2021

2020

Transformed <i>k</i>-nearest neighborhood output distance minimization for predicting the defect density of software projects.

[BibT_eX]

[DOI]

J. Syst. Softw., 2020

2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Software Development Effort Estimation Using Regression Fuzzy Models.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2019

Speech Recognition Using Deep Neural Networks: A Systematic Review.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Project productivity evaluation in early software effort estimation.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2018

Comparative analysis of soft computing techniques for predicting software effort based use case points.

[BibT_eX]

[DOI]

IET Softw., 2018

Machine Learning Classifications of Coronary Artery Disease.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Analyzing the relationship between project productivity and environment factors in the use case points method.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., 2017

A Comparative Study for Predicting Heart Diseases Using Data Mining Classification Methods.

[BibT_eX]

[DOI]

Israa Ahmed Zriqat

Ahmad Mousa Altamimi

CoRR, 2017

An Optimized Analogy-Based Project Effort Estimation.

[BibT_eX]

[DOI]

Marwan Alseid

CoRR, 2017

Learning best K analogies from data distribution for case-based software effort estimation.

[BibT_eX]

[DOI]

CoRR, 2017

Dataset Quality Assessment: An extension for analogy based effort estimation.

[BibT_eX]

[DOI]

CoRR, 2017

Robust Rank Aggregation method for Case-Base effort estimation.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016

Neural network models for software development effort estimation: a comparative study.

[BibT_eX]

[DOI]

Luiz Fernando Capretz

Danny Ho

Neural Comput. Appl., 2016

Guest editorial: special issue on predictive analytics using machine learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2016

Pareto efficient multi-objective optimization for local tuning of analogy-based estimation.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2016

A hybrid model for estimating software project effort from Use Case Points.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2016

User Movement Prediction: The Contribution of Machine Learning Techniques.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.

[BibT_eX]

[DOI]

Leandro L. Minku

J. Syst. Softw., 2015

Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics.

[BibT_eX]

[DOI]

IET Softw., 2015

Class Decomposition Using K-Means and Hierarchical Clustering.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

An Application of Classification and Class Decomposition to Use Case Point Estimation Method.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014

Errata 'Value of ranked voting methods for estimation by analogy', IET Softw., 2013, 7, (4), pp 195-202.

[BibT_eX]

[DOI]

Marwan Alseid

IET Softw., 2014

2013

Value of ranked voting methods for estimation by analogy.

[BibT_eX]

[DOI]

Marwan Alseid

IET Softw., 2013

Fuzzy Model Tree for Early Effort Estimation.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

A comparison between decision trees and decision tree forest models for software development effort estimation.

[BibT_eX]

[DOI]

Luiz Fernando Capretz

Danny Ho

Proceedings of the Third International Conference on Communications and Information Technology, 2013

2012

A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2012

A Treeboost Model for Software Effort Estimation Based on Use Case Points.

[BibT_eX]

[DOI]

Luiz Fernando Capretz

Danny Ho

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Analogy-based software effort estimation using Fuzzy numbers.

[BibT_eX]

[DOI]

Daniel Neagu

Peter I. Cowling

J. Syst. Softw., 2011

Software effort estimation based on optimized model tree.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Predictive Models in Software Engineering, 2011

Adjusted Case-Based Software Effort Estimation Using Bees Optimization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

Model Tree Based Adaption Strategy for Software Effort Estimation by Analogy.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Computer and Information Technology, 2011

2010

Analogy-based software project effort estimation : contributions to projects similarity measurement, attribute selection and attribute weighting algorithms for analogy-based effort estimation.

[BibT_eX]

[DOI]

PhD thesis, 2010

Fuzzy grey relational analysis for software effort estimation.

[BibT_eX]

[DOI]