A formal study of classification techniques on entity discovery and their application to opinion mining. - Shadi Banitaan; Saeed Salem; Wei Jin 006; Ibrahim Aljarah (SMUC@CIKM, 2010)

CLARM: an integrative approach for functional modules discovery. - Saeed Salem; Loqmane Seridi; Rami Alroobi; James E. Brewer; Shadi Banitaan; Ibrahim Aljarah (BCB, 2011)

Discovering Communities in Social Networks Using Topology and Attributes. - Saeed Salem; Shadi Banitaan; Ibrahim Aljarah; James E. Brewer; Rami Alroobi (ICMLA (1), 2011)

Selecting discriminating terms for bug assignment: a formal analysis. - Ibrahim Aljarah; Shadi Banitaan; Sameer Abufardeh; Wei Jin 006; Saeed Salem (PROMISE, 2011)

TRAM: An approach for assigning bug reports using their Metadata. - Shadi Banitaan; Mamdouh Alenezi (ICCIT, 2013)

Bug Reports Prioritization: Which Features and Classifier to Use? - Mamdouh Alenezi; Shadi Banitaan (ICMLA (2), 2013)

DECOBA: Utilizing Developers Communities in Bug Assignment. - Shadi Banitaan; Mamdouh Alenezi (ICMLA (2), 2013)

Towards Test Focus Selection for Integration Testing Using Method Level Software Metrics. - Shadi Banitaan; Mamdouh Alenezi; Kendall E. Nygard; Kenneth Magel (ITNG, 2013)

Efficient Bug Triaging Using Text Mining. - Mamdouh Alenezi; Kenneth Magel; Shadi Banitaan (J. Softw., 2013)

A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization. - Ali Bou Nassif; Shadi Banitaan (ICMLA, 2014)

An Application of Classification and Class Decomposition to Use Case Point Estimation Method. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2015)

Class Decomposition Using K-Means and Hierarchical Clustering. - Shadi Banitaan; Ali Bou Nassif; Mohammad Azzeh (ICMLA, 2015)

User Movement Prediction: The Contribution of Machine Learning Techniques. - Shadi Banitaan; Mohammad Azzeh; Ali Bou Nassif (ICMLA, 2016)

Feature-Based Test Focus Selection Technique Using Classes Connections Weight. - Iyad Alazzam; Mohammed Akour; Shadi Banitaan; Feras Hanandeh (Int. J. Oper. Res. Inf. Syst., 2016)

Pareto efficient multi-objective optimization for local tuning of analogy-based estimation. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan; Fadi Almasalha (Neural Comput. Appl., 2016)

Guest editorial: special issue on predictive analytics using machine learning. - Ali Bou Nassif; Mohammad Azzeh; Shadi Banitaan; Daniel Neagu (Neural Comput. Appl., 2016)

Robust Rank Aggregation method for Case-Base effort estimation. - Ali Bou Nassif; Mohammad Azzeh; Shadi Banitaan (CCECE, 2017)

Support Vector Regression for Predicting the Enhancement Duration of Software Projects. - Cuauhtémoc López Martín; Shadi Banitaan; Andrés García-Floriano; Cornelio Yáñez-Márquez (ICMLA, 2017)

Test Focus Selection for Integration Testing. - Shadi Banitaan; Kendall E. Nygard; Kenneth Magel (Int. J. Softw. Eng. Knowl. Eng., 2017)

Motivations for using social media: comparative study based on cultural differences between American and Jordanian students. - Heba Al-Quraan; Emad Abu-Shanab; Shadi Banitaan; Heyam Al-Tarawneh (Int. J. Soc. Media Interact. Learn. Environ., 2017)

Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan; Cuauhtémoc López Martín (ICMLA, 2018)

Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Cuauhtémoc López Martín; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2018)

Using Categorical Features in Mining Bug Tracking Systems to Assign Bug Reports. - Mamdouh Alenezi; Shadi Banitaan; Mohammad Zarour (CoRR, 2018)

Comparative analysis of soft computing techniques for predicting software effort based use case points. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (IET Softw., 2018)

Predicting Daily Activities Effectiveness Using Base-level and Meta level Classifiers. - Mohammed Akour; Shadi Banitaan; Hiba Alsghaier; Khalid Al Radaideh (ISDFS, 2019)

v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Cuauhtémoc López Martín; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (CoRR, 2019)

Shared Images in A Connected-Vehicle Network Registration System Using Harris-Stephens Approach. - Ghaith Al-Refai; Mohammed Al-Refai; Shadi Banitaan; Zeinab Ghasemi (EIT, 2020)

Automated Chagas Disease Vectors Identification using Data Mining Techniques. - Zeinab Ghasemi; Shadi Banitaan; Ghaith Al-Refai (EIT, 2020)

Machine Learning Techniques to Evaluate Whether Twitter Accounts Are Human or Robot. - Jordan Yono; Antonio Segura; Yongqiang Sun; Shadi Banitaan (EIT, 2020)

Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects. - Cuauhtémoc López Martín; Yenny Villuendas-Rey; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (J. Syst. Softw., 2020)

Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods. - Yichun Li; Mina Maleki; Shadi Banitaan; Mingzuoyang Chen (ICMLA, 2021)

Kissing Bugs Identification Using Convolutional Neural Network. - Bassam A. Abdelghani; Shadi Banitaan; Mina Maleki; Amna Mazen (IEEE Access, 2021)

Automatic identification of Chagas disease vectors using data mining and deep learning techniques. - Zeinab Parsons; Shadi Banitaan (Ecol. Informatics, 2021)

Fake News Detection in Social Networks Using Data Mining Techniques. - Hebah Alquran; Shadi Banitaan (AIIoT, 2022)

Pedestrian Group Detection with K-Means and DBSCAN Clustering Methods. - Mingzuoyang Chen; Shadi Banitaan; Mina Maleki; Yichun Li (EIT, 2022)

State of Health Indicator Modeling of Lithium-ion Batteries Using Machine Learning Techniques. - Yichun Li; Mina Maleki; Shadi Banitaan; Mingzuoyang Chen (EIT, 2022)

Prediction of Heart Attacks using Data Mining Techniques. - Bassam A. Abdelghani; Sophia Fadal; Shadi Bedoor; Shadi Banitaan (ICMLA, 2022)

Occupancy Detection based on WI-FI SysLog Data. - Bassam A. Abdelghani; Mina Maleki; Shadi Banitaan; Amna Mazen (ICMLA, 2022)

On Selection of Optimal Kernel Function for Software Defect Prediction. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2022)

GDSCAN: Pedestrian Group Detection using Dynamic Epsilon. - Mingzuoyang Chen; Shadi Banitaan; Mina Maleki; Yichun Li (ICMLA, 2022)

State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots. - Yichun Li; Mina Maleki; Shadi Banitaan; Mingzuoyang Chen (ICPRAM, 2023)

Enhancing Pedestrian Group Detection and Tracking Through Zone-Based Clustering. - Mingzuoyang Chen; Shadi Banitaan; Mina Maleki (IEEE Access, 2023)

Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques. - Ziba Parsons; Shadi Banitaan (Ecol. Informatics, 2023)

Enhancing Indoor Positioning of Wireless Access Points using RSSI Fingerprints. - Ahlam Al Mohammad; Daniel Marku; John Reedy; Stephen Reedy; Mina Maleki; Shadi Banitaan (EIT, 2024)

Predicting Severity of US Traffic Accidents: A Machine Learning Approach. - Rahul Oad; Ali Irtaza Sayani; Shadi Banitaan (EIT, 2024)

Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California. - Benyamain Yacoob; Ethan Scheys; Eyiara Oladipo; Andre Price; Shadi Banitaan (EIT, 2024)

Pedestrian Group Re-Identification and Trajectory Prediction Through Zone-Based Clustering. - Mingzuoyang Chen; Shadi Banitaan; Mina Maleki (IEEE Access, 2024)

Occupancy prediction: A comparative study of static and MOTIF time series features using WiFi Syslog data. - Bassam A. Abdelghani; Ahlam Al Mohammad; Jamal Dari; Mina Maleki; Shadi Banitaan (Sustain. Comput. Informatics Syst., 2024)

Improving Suicide Ideation Detection Through Feature Engineering and Machine Learning. - Shadi Banitaan; Hebah Alquran (IEEE Access, 2025)