Shadi Banitaan

54 papers C 13Journal 22Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Foundation Models in Software Engineering: A Taxonomy, Systematic Review, and In-Depth Analysis of Testing Support. Inf. Shadi Banitaan, Mohammad Daoud, Hebah Alquran, Mohammad Akour
2026	J	`jnl`	Human-AI Collaboration in Programming Education: Student Perspectives on LLM-Based Coding Assistants. Comput. Hebah Alquran, Shadi Banitaan
2026	J	`jnl`	Sensor-Free Occupancy Forecasting for Smart Buildings: A Wi-Fi Syslog Approach With Machine and Deep Learning. IEEE Access Shadi Banitaan, Taher El Taher, Khalid Aldamasi, Hassan Hassoun, Shoaib Ahmed
2025	J	`jnl`	Improving Suicide Ideation Detection Through Feature Engineering and Machine Learning. IEEE Access Shadi Banitaan, Hebah Alquran
2024	—	`conf`	Enhancing Indoor Positioning of Wireless Access Points using RSSI Fingerprints. EIT Ahlam Al Mohammad, Daniel Marku, John Reedy, Stephen Reedy, Mina Maleki, Shadi Banitaan
2024	J	`jnl`	Occupancy prediction: A comparative study of static and MOTIF time series features using WiFi Syslog data. Sustain. Comput. Informatics Syst. Bassam A. Abdelghani, Ahlam Al Mohammad, Jamal Dari, Mina Maleki, Shadi Banitaan
2024	J	`jnl`	Pedestrian Group Re-Identification and Trajectory Prediction Through Zone-Based Clustering. IEEE Access Mingzuoyang Chen, Shadi Banitaan, Mina Maleki
2024	—	`conf`	Predicting Severity of US Traffic Accidents: A Machine Learning Approach. EIT Rahul Oad, Ali Irtaza Sayani, Shadi Banitaan
2024	—	`conf`	Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California. EIT Benyamain Yacoob, Ethan Scheys, Eyiara Oladipo, Andre Price, Shadi Banitaan
2023	J	`jnl`	Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques. Ecol. Informatics Ziba Parsons, Shadi Banitaan
2023	J	`jnl`	Enhancing Pedestrian Group Detection and Tracking Through Zone-Based Clustering. IEEE Access Mingzuoyang Chen, Shadi Banitaan, Mina Maleki
2023	C	`conf`	State of Health Estimation of Lithium-ion Batteries Using Convolutional Neural Network with Impedance Nyquist Plots. ICPRAM Yichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen
2022	—	`conf`	Fake News Detection in Social Networks Using Data Mining Techniques. AIIoT Hebah Alquran, Shadi Banitaan
2022	C	`conf`	GDSCAN: Pedestrian Group Detection using Dynamic Epsilon. ICMLA Mingzuoyang Chen, Shadi Banitaan, Mina Maleki, Yichun Li
2022	C	`conf`	Occupancy Detection based on WI-FI SysLog Data. ICMLA Bassam A. Abdelghani, Mina Maleki, Shadi Banitaan, Amna Mazen
2022	C	`conf`	On Selection of Optimal Kernel Function for Software Defect Prediction. ICMLA Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2022	—	`conf`	Pedestrian Group Detection with K-Means and DBSCAN Clustering Methods. EIT Mingzuoyang Chen, Shadi Banitaan, Mina Maleki, Yichun Li
2022	C	`conf`	Prediction of Heart Attacks using Data Mining Techniques. ICMLA Bassam A. Abdelghani, Sophia Fadal, Shadi Bedoor, Shadi Banitaan
2022	—	`conf`	State of Health Indicator Modeling of Lithium-ion Batteries Using Machine Learning Techniques. EIT Yichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen
2021	J	`jnl`	Automatic identification of Chagas disease vectors using data mining and deep learning techniques. Ecol. Informatics Zeinab Parsons, Shadi Banitaan
2021	C	`conf`	Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods. ICMLA Yichun Li, Mina Maleki, Shadi Banitaan, Mingzuoyang Chen
2021	J	`jnl`	Kissing Bugs Identification Using Convolutional Neural Network. IEEE Access Bassam A. Abdelghani, Shadi Banitaan, Mina Maleki, Amna Mazen
2020	—	`conf`	Automated Chagas Disease Vectors Identification using Data Mining Techniques. EIT Zeinab Ghasemi, Shadi Banitaan, Ghaith Al-Refai
2020	—	`conf`	Machine Learning Techniques to Evaluate Whether Twitter Accounts Are Human or Robot. EIT Jordan Yono, Antonio Segura, Yongqiang Sun, Shadi Banitaan
2020	—	`conf`	Shared Images in A Connected-Vehicle Network Registration System Using Harris-Stephens Approach. EIT Ghaith Al-Refai, Mohammed Al-Refai, Shadi Banitaan, Zeinab Ghasemi
2020	J	`jnl`	Transformed J. Syst. Softw. Cuauhtémoc López Martín, Yenny Villuendas-Rey, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2019	—	`conf`	Predicting Daily Activities Effectiveness Using Base-level and Meta level Classifiers. ISDFS Mohammed Akour, Shadi Banitaan, Hiba Alsghaier, Khalid Al Radaideh
2019	J	`jnl`	v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. CoRR Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2018	J	`jnl`	Comparative analysis of soft computing techniques for predicting software effort based use case points. IET Softw. Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2018	C	`conf`	Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. ICMLA Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
2018	J	`jnl`	Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. CoRR Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín
2018	C	`conf`	Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. ICMLA Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2018	J	`jnl`	Using Categorical Features in Mining Bug Tracking Systems to Assign Bug Reports. CoRR Mamdouh Alenezi, Shadi Banitaan, Mohammad Zarour
2017	J	`jnl`	Motivations for using social media: comparative study based on cultural differences between American and Jordanian students. Int. J. Soc. Media Interact. Learn. Environ. Heba Al-Quraan, Emad Abu-Shanab, Shadi Banitaan, Heyam Al-Tarawneh
2017	J	`jnl`	Pareto Efficient Multi Objective Optimization for Local Tuning of Analogy Based Estimation. CoRR Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
2017	—	`conf`	Robust Rank Aggregation method for Case-Base effort estimation. CCECE Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan
2017	C	`conf`	Support Vector Regression for Predicting the Enhancement Duration of Software Projects. ICMLA Cuauhtémoc López Martín, Shadi Banitaan, Andrés García-Floriano, Cornelio Yáñez-Márquez
2017	J	`jnl`	Test Focus Selection for Integration Testing. Int. J. Softw. Eng. Knowl. Eng. Shadi Banitaan, Kendall E. Nygard, Kenneth Magel
2016	J	`jnl`	Feature-Based Test Focus Selection Technique Using Classes Connections Weight. Int. J. Oper. Res. Inf. Syst. Iyad Alazzam, Mohammed Akour, Shadi Banitaan, Feras Hanandeh
2016	J	`jnl`	Guest editorial: special issue on predictive analytics using machine learning. Neural Comput. Appl. Ali Bou Nassif, Mohammad Azzeh, Shadi Banitaan, Daniel Neagu
2016	J	`jnl`	Pareto efficient multi-objective optimization for local tuning of analogy-based estimation. Neural Comput. Appl. Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha
2016	C	`conf`	User Movement Prediction: The Contribution of Machine Learning Techniques. ICMLA Shadi Banitaan, Mohammad Azzeh, Ali Bou Nassif
2015	C	`conf`	An Application of Classification and Class Decomposition to Use Case Point Estimation Method. ICMLA Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
2015	C	`conf`	Class Decomposition Using K-Means and Hierarchical Clustering. ICMLA Shadi Banitaan, Ali Bou Nassif, Mohammad Azzeh
2014	C	`conf`	A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization. ICMLA Ali Bou Nassif, Shadi Banitaan
2013	—	`conf`	Bug Reports Prioritization: Which Features and Classifier to Use? ICMLA (2) Mamdouh Alenezi, Shadi Banitaan
2013	—	`conf`	DECOBA: Utilizing Developers Communities in Bug Assignment. ICMLA (2) Shadi Banitaan, Mamdouh Alenezi
2013	J	`jnl`	Efficient Bug Triaging Using Text Mining. J. Softw. Mamdouh Alenezi, Kenneth Magel, Shadi Banitaan
2013	—	`conf`	TRAM: An approach for assigning bug reports using their Metadata. ICCIT Shadi Banitaan, Mamdouh Alenezi
2013	—	`conf`	Towards Test Focus Selection for Integration Testing Using Method Level Software Metrics. ITNG Shadi Banitaan, Mamdouh Alenezi, Kendall E. Nygard, Kenneth Magel
2011	—	`conf`	CLARM: an integrative approach for functional modules discovery. BCB Saeed Salem, Loqmane Seridi, Rami Alroobi, James E. Brewer, Shadi Banitaan, Ibrahim Aljarah
2011	—	`conf`	Discovering Communities in Social Networks Using Topology and Attributes. ICMLA (1) Saeed Salem, Shadi Banitaan, Ibrahim Aljarah, James E. Brewer, Rami Alroobi
2011	—	`conf`	Selecting discriminating terms for bug assignment: a formal analysis. PROMISE Ibrahim Aljarah, Shadi Banitaan, Sameer Abufardeh, Wei Jin, Saeed Salem
2010	—	`conf`	A formal study of classification techniques on entity discovery and their application to opinion mining. SMUC@CIKM Shadi Banitaan, Saeed Salem, Wei Jin, Ibrahim Aljarah